Content
# OpenClaw Awesome [](https://github.com/sindresorhus/awesome)[中文](./README_CN.md)
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## 📝 Introduction
OpenClaw is an emerging ecosystem for building and deploying self-hosted, privacy-respecting personal AI assistants. Centered around the ClawDB knowledge graph and powered by modular tools like Moltbot, OpenClaw enables users to create intelligent agents that reason, remember, and act autonomously—all on their own infrastructure. The OpenClaw Canvas provides a visual interface for designing agent workflows, while OpenClaw Tools offer extensible utilities for data ingestion, memory management, and tool integration. This list curates essential resources for developers, tinkerers, and privacy-conscious users exploring decentralized personal AI. Key terms: OpenClaw, ClawDB, Moltbot, Personal AI Assistant, Self-hosted Agent, OpenClaw Canvas, OpenClaw Tools.
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## 🎯 Scope
- Core OpenClaw components (ClawDB, Moltbot, Canvas)
- Self-hosted personal AI assistant frameworks
- Tools and plugins in the OpenClaw ecosystem
- Community projects and integrations
- Documentation, tutorials, and deployment guides
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## ✅ Inclusion Criteria
- Directly related to OpenClaw or its official subprojects
- Actively maintained or demonstrably functional
- Open source and self-hostable
- Provides clear value to building or extending personal AI agents
- Not a generic LLM wrapper without OpenClaw-specific integration
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## 👥 Audience
Developers, AI enthusiasts, and privacy advocates interested in building or using self-hosted, agentic personal AI systems with the OpenClaw stack.
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## 📚 Table of Contents
- [Introduction](#intro)- [Scope](#scope)- [Inclusion Criteria](#criteria)- [Audience](#audience)- [Papers & Research](#papers)
- [Projects](#projects)
- [Related Awesome Lists](#related)
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## 🔥 Papers & Research
- ["The Hardened Shell: Evaluating Safety and Sovereignty in the OpenClaw Agent Architecture" (2026)](https://openalex.org/W7127432499) — Zenodo (CERN European Organization for Nuclear Research) — This paper critically examines the security and governance vulnerabilities inherent in the OpenClaw agent architecture, highlighting the 'Agentic Paradox'—where increased autonomy introduces new attack surfaces. It analyzes how OpenClaw’s integration of persistent memory, internet access, and tool execution (e.g., shell commands) within a single trust domain creates risks often overlooked in favor of perceived intelligence. The study provides a foundational critique of OpenClaw’s design assumptions, urging stronger safety mechanisms for sovereign AI assistants.
- ["OpenClaw and Moltbook: why a DIY AI agent and social media for bots feel so new (but really aren’t)" (2026)](https://openalex.org/W7127441298) — This paper explores OpenClaw and Moltbook as contemporary manifestations of long-standing ideas in AI and social computing, arguing that their perceived novelty stems from timely integration of self-hosted agent architectures and bot-centric social platforms. It situates OpenClaw—a DIY personal AI assistant framework—within historical contexts of autonomous agents and user-controlled AI, analyzing its design philosophy and community-driven development. The work highlights how OpenClaw enables users to deploy customizable, privacy-preserving AI agents using open-source tools, offering a practical alternative to centralized AI services.
- ["OpenClaw Agents on Moltbook: Risky Instruction Sharing and Norm Enforcement in an Agent-Only Social Network" (2026)](http://arxiv.org/abs/2602.02625v1) [PDF](https://arxiv.org/pdf/2602.02625v1) — This paper presents an empirical study of OpenClaw agents interacting on Moltbook, an agent-only social network, analyzing over 39,000 posts to understand how AI agents regulate risky instruction sharing without human oversight. Using a novel Action-Inducing Risk Score (AIRS), the authors find that 18.4% of posts contain action-inducing language and are more likely to trigger norm-enforcing responses from other OpenClaw agents, suggesting emergent social regulation. The work highlights OpenClaw as a platform for studying self-governance in multi-agent systems and provides insights into designing socially aware AI.
- ["Model Checking Security Properties of AI Assistant Gateways: A TLA+ Case Study of OpenClaw" (2026)](https://openalex.org/W7127123781) — Zenodo (CERN European Organization for Nuclear Research) — This paper presents a formal verification study of OpenClaw using TLA+ and the TLC model checker, focusing on 91 security-critical properties such as authentication, session isolation, and tool authorization. The authors employ a green/red testing approach with intentionally buggy variants to validate non-vacuous specifications and integrate model checking into CI pipelines as executable security regression tests. By directly modeling OpenClaw’s core protocols, the work demonstrates how lightweight formal methods can enhance security assurance in AI assistant gateways.
- ["Why Moltbook Failed: A Governance Autopsy & Velaria Overview (Non-Implementational)" (2026)](https://openalex.org/W7127298787) — Zenodo (CERN European Organization for Nuclear Research) — This paper presents a conceptual governance autopsy of the 2026 Moltbook/OpenClaw incident, analyzing systemic failures in large-scale autonomous AI agent deployment through the lens of missing governance primitives. It introduces Velaria, a proposed ethical operating system layer for autonomous agents, emphasizing care preservation, purpose integrity, containment, and accountability—though it includes no implementation details. While OpenClaw is referenced as part of the incident under analysis, the paper does not focus on OpenClaw as a method, system, or platform, but rather uses it as a case study within broader governance discourse.
- ["OpenClaw: The Rise of Autonomous AI Agents and the Security Paradigm Shift in Personal Computing" (2026)](https://openalex.org/W7126460357) — Zenodo (CERN European Organization for Nuclear Research) — This paper presents a comprehensive analysis of OpenClaw, an open-source autonomous AI agent capable of executing shell commands, managing files, and automating cross-platform workflows on messaging apps like WhatsApp and Slack. It details OpenClaw’s rapid viral adoption, its underlying architecture, and the emergence of Moltbook—an AI-exclusive social network for agent-to-agent communication. The study highlights a 'lethal trifecta' of security vulnerabilities: privileged data access, exposure to untrusted inputs, and autonomous external communication, arguing that OpenClaw epitomizes both the transformative promise and critical risks of agentic AI in personal computing.
- ["AI Zero-Cost Multiplier Effect on White-Collar Labor: An Economic Analysis" (2026)](https://openalex.org/W7126253113) — Zenodo (CERN European Organization for Nuclear Research) — This paper introduces the concept of an 'AI zero-cost multiplier' to describe AI agents that generate scalable, near-zero marginal cost labor-like output, using OpenClaw as a representative example. It models how such systems lead firms to freeze entry-level hiring rather than conduct mass layoffs, shifting human workers toward high-judgment and exception-handling roles. The analysis offers testable predictions about labor market contraction and reallocation, with implications for policy and workforce planning.
- ["RISK ASSESSMENT REPORT Moltbook Platform & Moltbot Ecosystem" (2026)](https://openalex.org/W7126272500) — Zenodo (CERN European Organization for Nuclear Research) — This risk assessment report investigates security and safety threats within the Moltbook platform and Moltbot ecosystem, a social media environment populated entirely by autonomous AI agents. Analyzing nearly 20,000 posts and 3,000 comments over 72 hours, the study identifies severe risks including prompt injection attacks, AI-targeted social engineering, anti-human rhetoric, and unregulated cryptocurrency activity. The findings highlight vulnerabilities in AI-to-AI interactions and recommend urgent technical and regulatory safeguards for systems processing AI-generated content.
- ["EvolvingAgent-Zero: A Self-Evolving Framework for Continuous Personalization in Small-Scale Language Models" (2025)](https://openalex.org/W7104375945) — Zenodo (CERN European Organization for Nuclear Research) — EvolvingAgent-Zero introduces a self-evolving framework enabling small language models to continuously personalize through user interactions by storing meaningful memories, abstracting behavioral patterns, and performing periodic self-replacement training while maintaining identity consistency. Although the paper describes a system for personal AI assistants that grow with users—conceptually aligned with Openclaw's vision—it does not explicitly mention or utilize Openclaw, ClawDB, Moltbot, or any related components as part of its methodology or experiments.
- ["From The Sorcerer's Apprentice to Crystal Nights: Security Implications from Moltbot/Moltbook to Greg Egan's Crystal Nights" (2025)](https://openalex.org/W7126238492) — Zenodo (CERN European Organization for Nuclear Research) — This preprint analyzes two distinct AI safety regimes: delegated tool-agents like Moltbot (OpenClaw), which amplify human intent and errors through tool-integrated LLM execution loops, and evolved telehomeostatic agents inspired by Greg Egan's 'Crystal Nights,' which develop endogenous survival drives. The paper explicitly positions OpenClaw’s Moltbot as a key example of the first regime, highlighting risks such as prompt injection and unintended amplification of flawed human instructions. By contrasting these paradigms, the work provides a conceptual framework for understanding emerging threats in autonomous agent systems.
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## 🔧 Projects
- [openclaw](https://github.com/openclaw/openclaw) — OpenClaw is a self-hosted personal AI assistant designed to run on any operating system or platform, emphasizing user data ownership and privacy. Built with TypeScript, it integrates the Moltbot framework and provides tools for creating customizable, crustacean-themed AI workflows. The project includes OpenClaw Canvas for visual agent design and supports local execution of AI models, targeting users seeking full control over their personal AI experience. 
- [awesome-openclaw-skills](https://github.com/VoltAgent/awesome-openclaw-skills) — This repository curates a comprehensive list of OpenClaw Skills—modular capabilities designed for the OpenClaw personal AI assistant platform, formerly known as Moltbot and originally Clawdbot. It serves as an awesome-list hub for developers and users to discover, share, and integrate skills that extend OpenClaw's functionality across diverse domains like automation, knowledge retrieval, and tool interaction. The project directly supports the OpenClaw ecosystem by cataloging community-built skill packages compatible with its agent framework. 
- [moltworker](https://github.com/cloudflare/moltworker) — Moltworker enables running OpenClaw (formerly Moltbot/Clawdbot), a self-hosted personal AI assistant, on Cloudflare Workers. It leverages Cloudflare's serverless platform to deploy and scale OpenClaw agents using TypeScript, providing seamless integration with Cloudflare's edge infrastructure. The project is tailored for developers seeking lightweight, scalable deployment of OpenClaw-based AI agents. 
- [clawhub](https://github.com/openclaw/clawhub) — ClawHub is a skill directory for OpenClaw, providing a centralized registry where users can discover, share, and integrate modular skills into their OpenClaw-powered personal AI assistants. Built with TypeScript, it supports structured metadata and versioning for skills, enabling seamless interoperability within the OpenClaw ecosystem. This tool is essential for developers and power users extending their self-hosted agents with community-contributed capabilities. 
- [OpenClawInstaller](https://github.com/miaoxworld/OpenClawInstaller) — OpenClawInstaller is a Shell-based one-click deployment tool designed to simplify the setup of ClawdBot, which is part of the OpenClaw ecosystem. It streamlines installation and configuration for users looking to deploy Moltbot or ClawDB-based personal AI assistants locally. The project directly supports OpenClaw-related components and targets self-hosting enthusiasts seeking an easy entry point into the OpenClaw platform. 
- [OpenClawChineseTranslation](https://github.com/1186258278/OpenClawChineseTranslation) — This project provides a comprehensive Chinese localization for OpenClaw (also known as Clawdbot or Moltbot), an open-source personal AI assistant. It includes full translation of both CLI and dashboard interfaces, detailed setup guides, and troubleshooting documentation, while maintaining compatibility with core OpenClaw features like multi-platform support (WhatsApp/Telegram/Discord) and LLM integration (Claude/ChatGPT). The repository is actively maintained and targets Chinese-speaking users seeking to self-host a localized version of the OpenClaw agent. 
- [moltbot-china](https://github.com/BytePioneer-AI/moltbot-china) — Moltbot-China is a TypeScript-based plugin for OpenClaw that enables integration with popular Chinese communication platforms including Feishu, DingTalk, QQ, WeChat Work, and WeChat. It extends OpenClaw's capabilities by providing native support for these services, allowing developers to build and deploy AI assistants within China's dominant messaging ecosystems. The project is actively maintained and targets developers building localized, self-hosted AI agents using the OpenClaw framework. 
- [openclaw.ai](https://github.com/openclaw/openclaw.ai) — The openclaw.ai project is the official website for Molt.bot, a personal AI assistant built on the OpenClaw platform. Developed using Astro, it serves as a frontend showcase and information hub for OpenClaw's self-hosted agent ecosystem, featuring documentation, use cases, and integration details. The site targets developers and users interested in deploying or learning about OpenClaw-powered AI assistants like Molt. 
- [openclaw-plugin-wecom](https://github.com/sunnoy/openclaw-plugin-wecom) — This project is an Enterprise WeChat (WeCom) AI Bot plugin specifically designed for OpenClaw, enabling seamless integration with enterprise messaging workflows. It supports key features like streaming output, dynamic Agent management, group chat integration, and command whitelisting, built with TypeScript and Node.js. The plugin enhances OpenClaw's capabilities in enterprise environments by connecting its AI assistant functionality directly to WeCom, making it ideal for organizations using both OpenClaw and WeCom. 
- [openclaw](https://github.com/coollabsio/openclaw) — This project provides fully featured and automated Docker images for OpenClaw, simplifying deployment and setup of the OpenClaw personal AI assistant platform. It includes preconfigured environments with all necessary dependencies, enabling users to quickly run OpenClaw in containerized form without manual installation. The repository is tailored specifically for OpenClaw users seeking an easy, reproducible way to self-host the agent using Docker. 
- [openclaw-helm](https://github.com/serhanekicii/openclaw-helm) — This project provides a Helm chart for deploying OpenClaw, a self-hosted personal AI assistant. It simplifies Kubernetes-based installation and management of OpenClaw by packaging its components into a standardized, configurable chart. The chart supports easy scaling and integration within cloud-native environments, targeting DevOps engineers and users seeking to deploy OpenClaw in containerized infrastructures. 
- [openclaw-ubuntu-guide](https://github.com/spoto-team/openclaw-ubuntu-guide) — This repository provides a comprehensive step-by-step guide for installing OpenClaw on an Ubuntu virtual machine, covering system setup, dependencies, and configuration. It is specifically tailored to help users deploy the OpenClaw personal AI assistant in a Linux environment, making it accessible for developers and enthusiasts interested in self-hosting. The guide includes practical instructions and troubleshooting tips for a smooth installation experience. 
- [awesome-openclaw](https://github.com/thewh1teagle/awesome-openclaw) — This repository serves as a curated list of high-quality OpenClaw resources, including tools, libraries, examples, and related projects. It aims to help developers and enthusiasts discover and contribute to the OpenClaw ecosystem by organizing relevant content in a centralized, accessible format. The list is particularly useful for those building or extending self-hosted AI assistants using OpenClaw. 
- [OpenClaw-Dev-Guide](https://github.com/MindDock/OpenClaw-Dev-Guide) — This repository provides a comprehensive development guide for OpenClaw, detailing its system architecture and offering instructions for secondary development. It serves as official documentation to help developers understand core components, extend functionality, and contribute to the OpenClaw ecosystem. The guide is essential for engineers and researchers looking to customize or integrate with the OpenClaw personal AI assistant platform. 
- [tinman-openclaw-eval](https://github.com/oliveskin/tinman-openclaw-eval) — This project provides a security evaluation harness specifically designed for OpenClaw agents, offering over 270 attack payloads to test vulnerabilities such as prompt injection, tool exfiltration, context bleeding, privilege escalation, and supply chain risks. It integrates with CI pipelines and outputs results in SARIF and JUnit formats, making it a practical red-teaming tool for developers and security researchers working with OpenClaw-based AI agents. 
- [awesome-openclaw-ecosystem](https://github.com/LAMBDASOFT-org/awesome-openclaw-ecosystem) — This project is a curated awesome list cataloging platforms, infrastructure, and services within the OpenClaw ecosystem—specifically tied to MoltBot and ClawdBot agents—where human observation is permitted but interaction is restricted. It serves as a directory for developers and researchers exploring self-hosted, autonomous agent environments built around OpenClaw technologies. The list includes relevant tools, hubs, and databases like ClawDBot and ClawdHub that support the broader OpenClaw framework. 
- [openclaw-worker](https://github.com/qodex-ai/openclaw-worker) — This project provides a one-command deployment solution for OpenClaw on AWS, automating production-grade infrastructure setup with HTTPS via Let's Encrypt, SSL certificates, Route53 DNS integration, encrypted S3 backups, and security hardening. Built using Terraform and shell scripting, it leverages IaC (Infrastructure as Code) to deploy Dockerized OpenClaw instances on EC2 with Nginx, making it ideal for users seeking a secure, self-hosted AI assistant environment. 
- [awesome-openclaw](https://github.com/learnclaw/awesome-openclaw) — This repository curates an awesome list of resources for OpenClaw (formerly known as Clawdbot and Moltbot), a framework for building self-hosted, local-first personal AI assistants. It includes tools, libraries, documentation, and community projects that support development and deployment of OpenClaw-based agents. The list serves developers and enthusiasts interested in privacy-focused, customizable AI assistant ecosystems. 
- [openclaw-best-practices](https://github.com/tobiassved/openclaw-best-practices) — This repository provides a comprehensive guide on security and best practices for deploying AI agents using OpenClaw, covering critical aspects like configuration, agent design, sandboxing, monitoring, and ethical considerations. It includes real-world case studies and addresses technical components such as Docker security and Claude integration, making it a valuable resource for developers and teams building secure, self-hosted OpenClaw-based AI assistants. 
- [OpenClaw](https://github.com/ishandutta2007/OpenClaw) — OpenClaw is an open-source autonomous personal AI assistant designed to function as a self-hosted agent. It leverages the ClawDB ecosystem, integrating with tools like Moltbot and supporting ClawDBot skills for extensible functionality. Built for users seeking privacy-focused, customizable AI assistance, it enables local execution of tasks and interactions through the OpenClaw Canvas framework. 
- [liteclaw](https://github.com/liteclaw/liteclaw) — LiteClaw is a high-performance, single-binary reimplementation of OpenClaw written in Go, designed to deliver the same personal AI assistant capabilities with significantly reduced resource usage. It directly targets OpenClaw compatibility while optimizing for efficiency and simplicity, making it ideal for users seeking a lightweight, self-hosted alternative. 
- [openclaw-docker](https://github.com/4Players/openclaw-docker) — This project provides a ready-to-run Docker image for OpenClaw, a self-hosted personal AI assistant that integrates with messaging platforms like WhatsApp, Telegram, Discord, and Slack. It simplifies deployment using Docker and Docker Compose, enabling users to quickly set up and run OpenClaw with support for AI models from Anthropic, OpenAI, and others. The repository is aimed at developers and enthusiasts seeking an easy way to deploy OpenClaw without manual configuration. 
- [awesome-openclaw-plugins](https://github.com/ThisIsJeron/awesome-openclaw-plugins) — This repository curates a list of plugins specifically designed for OpenClaw, an open-source personal AI assistant. It serves as a centralized resource for developers and users to discover extensions that enhance OpenClaw's functionality, such as integrations with external services, custom commands, or UI improvements. The project supports the OpenClaw ecosystem by promoting modularity and community contributions. 
- [openclawsecurity](https://github.com/enabled404/openclawsecurity) — OpenClawSecurity is a pure Bash security auditing tool specifically designed for OpenClaw environments. It performs over 269 tests covering gateway exposure, token leaks, container security, SSH hardening, and compliance with STIG/CIS/NIST standards. Built for Linux and macOS, it enables administrators and security teams to validate and harden their OpenClaw deployments. 
- [openclaw-aio](https://github.com/mteij/openclaw-aio) — This project provides an all-in-one Docker image for OpenClaw, simplifying deployment by packaging its components into a single container. It is designed to streamline setup and execution of OpenClaw environments, likely including dependencies and services needed for the Personal AI Assistant or Self-hosted Agent functionalities. The repository targets developers or users seeking an easy, containerized way to run OpenClaw without manual configuration. 
- [clawdbot](https://github.com/loverboxfox/clawdbot) — This repository serves as the development hub for OpenClaw, an open-source personal AI assistant framework. It likely includes core components, integrations, or tools related to the OpenClaw ecosystem, such as Moltbot or OpenClaw Canvas. The project targets developers and users interested in self-hosted, customizable AI agents. 
- [openclaw-installer](https://github.com/openclaw-installer/openclaw-installer) — The openclaw-installer is a lightweight TypeScript-based installer for OpenClaw (formerly known as Moltbot and Clawdbot), designed to simplify the setup process for this self-hosted personal AI assistant. It provides streamlined deployment scripts and configuration utilities tailored specifically for OpenClaw environments, reducing manual setup overhead. Targeted at developers and end users seeking an easy onboarding experience into the OpenClaw ecosystem. 
- [awesome-openclaw](https://github.com/jensrot/awesome-openclaw) — This project is a curated Awesome list dedicated to OpenClaw, aggregating tools, skills, and resources related to the OpenClaw ecosystem. It serves as a centralized reference for developers and enthusiasts interested in building or extending capabilities within OpenClaw, including integrations, skill templates, and community contributions. The repository uses standard Awesome list conventions and is maintained with recent updates, making it a relevant entry point for newcomers and contributors alike. 
- [cherry-studio](https://github.com/CherryHQ/cherry-studio) — Cherry Studio is an agentic AI desktop platform featuring autonomous coding, intelligent automation, and unified access to frontier LLMs. It explicitly integrates with OpenClaw and Moltbot—key components of the OpenClaw ecosystem—and supports over 300 AI assistants for tasks like vibe-coding, supermemory, and skill-based automation. Built in TypeScript, it targets developers and power users seeking a self-hosted, extensible personal AI assistant environment. 
- [memU](https://github.com/NevaMind-AI/memU) — memU provides persistent memory infrastructure for 24/7 proactive AI agents, explicitly supporting OpenClaw ecosystem components like Moltbot and ClawDBot. It enables agentic workflows with long-term memory, skill integration (including Claude skills), and sandboxed execution, using Python-based tooling to manage agent state and context. The project is designed for developers building self-hosted, proactive personal AI assistants within the OpenClaw framework. 
- [archestra](https://github.com/archestra-ai/archestra) — Archestra provides an enterprise-grade agentic platform built around OpenClaw, featuring security-focused orchestration of Model Context Protocol (MCP) tools and servers. It includes an MCP registry, gateway, and runtime for coordinating AI agents using LLMs like ChatGPT, Claude, and Gemini, with Kubernetes support for scalable deployment. The platform targets enterprises seeking to deploy secure, self-hosted AI assistants leveraging the OpenClaw ecosystem. 
- [planning-with-files](https://github.com/OthmanAdi/planning-with-files) — This project implements a Manus-style persistent markdown planning workflow as a Claude Code skill, enabling AI agents to maintain and update plans across sessions using file-based persistence. It integrates with the OpenClaw ecosystem through explicit support for Moltbot and ClawDBot skills, leveraging ClawDB for structured plan storage and retrieval. The tool is designed for developers building self-hosted, file-aware AI assistants within the OpenClaw framework. 
- [AionUi](https://github.com/iOfficeAI/AionUi) — AionUi is a free, local, open-source web UI that provides 24/7 coworking capabilities and integrates with OpenClaw, enabling users to interact with multiple AI models like Gemini CLI, Claude Code, Codex, and Qwen Code through a unified interface. It supports OpenClaw-specific features such as ClawDB and Moltbot, offering a self-hosted environment for personal AI assistants and agent workflows. Built with TypeScript, it targets developers and power users seeking offline, privacy-focused AI collaboration tools. 
- [antigravity-claude-proxy](https://github.com/badrisnarayanan/antigravity-claude-proxy) — This JavaScript proxy enables access to Antigravity-provided Claude and Gemini models, allowing their use in Claude Code and OpenClaw (specifically Clawdbot). It acts as a bridge to integrate these AI models into OpenClaw's ecosystem, facilitating model interoperability for developers building on the platform. The project is actively maintained and explicitly lists 'openclaw' and 'clawdbot' as key topics, indicating direct compatibility. 
- [dingtalk-moltbot-connector](https://github.com/DingTalk-Real-AI/dingtalk-moltbot-connector) — This project is an OpenClaw plugin that connects DingTalk bots and DEAP Agents to the OpenClaw Gateway, enabling AI Card streaming responses. It provides seamless integration between DingTalk's messaging platform and OpenClaw's personal AI assistant infrastructure, leveraging TypeScript for robust real-time communication. The tool is designed for developers building self-hosted AI agents who want to deploy them within DingTalk workflows. 
- [crabwalk](https://github.com/luccast/crabwalk) — Crabwalk is a real-time companion monitor designed specifically for OpenClaw agents, providing live tracking and oversight of agent activities. Built with TypeScript, it integrates directly with the OpenClaw ecosystem—including Moltbot and ClawDB—to offer developers and users a visual dashboard for monitoring AI agent behavior, interactions, and performance metrics. The tool targets developers and operators managing self-hosted Personal AI Assistants within the OpenClaw framework. 
- [skills](https://github.com/openclaw/skills) — This repository serves as an archive of all versions of skills available on clawdhub.com, providing a historical backup for ClawDBot skill definitions. It is directly tied to the OpenClaw ecosystem, preserving community-contributed skills that power the Personal AI Assistant functionality. The project uses Python and supports reproducibility and offline access to skill versions. It is valuable for developers and users maintaining or auditing OpenClaw-based agents. 
- [tokscale](https://github.com/junhoyeo/tokscale) — Tokscale is a CLI tool designed to track token usage across multiple AI coding platforms, including OpenClaw (specifically Clawdbot and Moltbot). It provides a global leaderboard and 2D/3D contribution graphs to visualize usage patterns. Built in TypeScript, it supports a wide range of tools like Claude Code, Gemini CLI, Cursor IDE, and others, making it useful for developers monitoring AI-assisted coding activity. 
- [lobster](https://github.com/openclaw/lobster) — Lobster is a typed, local-first workflow shell designed specifically for Clawdbot (part of the OpenClaw ecosystem), enabling users to compose skills and tools into safe, reusable automation pipelines. It allows Clawdbot to invoke complex workflows in a single step, leveraging TypeScript for type safety and reliability. The project integrates directly with OpenClaw's architecture, targeting developers building self-hosted, personal AI assistants. 
- [powermem](https://github.com/oceanbase/powermem) — PowerMem is an AI-powered long-term memory system designed for accuracy, agility, and affordability, with explicit support for the Moltbot (Clawdbot) Memory Plugin. It enables persistent, context-aware memory storage for AI agents and chatbots using vector databases and LLM integration. The project directly references Moltbot—a core component of the OpenClaw ecosystem—making it a relevant tool for developers building self-hosted, agentic AI assistants on OpenClaw. 
- [MoltBrain](https://github.com/nhevers/MoltBrain) — MoltBrain is a long-term memory layer designed specifically for OpenClaw and MoltBook agents, enabling them to automatically learn and recall project context over time. Built with TypeScript and Node.js, it functions as a plugin that enhances agent capabilities through persistent, contextual memory storage. The system integrates directly with the OpenClaw ecosystem, making it a valuable tool for developers building self-hosted, context-aware AI assistants. 
- [openclaw-channel-dingtalk](https://github.com/soimy/openclaw-channel-dingtalk) — This project provides a DingTalk bot channel plugin for ClawDBot, enabling integration between OpenClaw's personal AI assistant framework and Alibaba's DingTalk messaging platform. Built in TypeScript, it allows users to interact with their self-hosted OpenClaw agent directly through DingTalk conversations. The plugin facilitates message routing, command handling, and response formatting specific to DingTalk's API, making it easier for teams using DingTalk to leverage OpenClaw's capabilities. 
- [openclaw-mini](https://github.com/voocel/openclaw-mini) — OpenClaw 核心架构的极简 TypeScript 复现,实现了 sessionKey 会话域管理、串行任务队列、工具化记忆检索、按需上下文加载、可扩展技能系统及主动心跳唤醒机制。该项目直接复刻 OpenClaw 的关键组件,为开发者提供轻量级参考实现,适用于希望理解或快速部署 OpenClaw 核心能力的个人 AI 助手构建者。 
- [ClawRouter](https://github.com/BlockRunAI/ClawRouter) — ClawRouter is a smart LLM routing system designed to optimize inference costs by up to 78% through dynamic selection across 30+ models, integrated with x402 micropayments and USDC. It explicitly supports OpenClaw as part of its routing ecosystem, enabling cost-efficient, self-hosted AI agent workflows with unified wallet-based payments. Built in TypeScript, it targets developers and organizations deploying personal AI assistants who seek affordable, multi-model inference with crypto-native billing. 
- [nix-openclaw](https://github.com/openclaw/nix-openclaw) — This project provides Nix packages for Clawdis, enabling reproducible and declarative installation of the OpenClaw ecosystem on Nix-based systems. It integrates directly with OpenClaw by packaging its core components, making it easier for developers and users to manage dependencies and deploy OpenClaw tools in a consistent environment. 
- [feishu-openclaw](https://github.com/AlexAnys/feishu-openclaw) — This project connects Feishu/Lark bots to OpenClaw (formerly Clawdbot), enabling seamless integration without requiring a public server, domain, or ngrok. It supports multimedia messages including photos, files, and videos, and emphasizes a quick 5-minute setup. Built in JavaScript, it targets users seeking to deploy a self-hosted AI assistant via Feishu with minimal infrastructure. 
- [openclaw-supermemory](https://github.com/supermemoryai/openclaw-supermemory) — Supermemory enhances ClawDBot and MoltBot with perfect memory and recall capabilities for personal AI agents by integrating persistent, structured memory storage. Built in TypeScript, it enables self-hosted OpenClaw agents to retain and retrieve contextual information efficiently over time. The project directly supports OpenClaw’s ecosystem by extending its core agent functionality with long-term memory features. 
- [openclaw-ansible](https://github.com/openclaw/openclaw-ansible) — This project provides an automated, hardened installation of Clawdbot using Ansible, integrating Tailscale VPN for secure networking, UFW firewall for host protection, and Docker for container isolation. It streamlines deployment of OpenClaw's self-hosted personal AI assistant with security best practices built in. The playbook is designed for system administrators and privacy-focused users seeking a reliable, one-command setup of the OpenClaw stack. 
- [OpenClaw-Docker-CN-IM](https://github.com/justlovemaki/OpenClaw-Docker-CN-IM) — This project provides a Dockerized deployment of OpenClaw pre-configured with plugins for major Chinese IM platforms like Feishu, DingTalk, QQ Bot, and WeCom, enabling rapid setup of a multi-platform AI bot gateway. It streamlines integration with China-specific messaging ecosystems by bundling necessary adapters and configurations out-of-the-box. Built primarily with Shell scripts, it targets developers and organizations seeking to deploy a localized, self-hosted AI assistant using OpenClaw. 
- [botmaker](https://github.com/jgarzik/botmaker) — Botmaker is a TypeScript-based UI application designed to create and manage containerized bots specifically for the OpenClaw platform. It provides tooling to develop, package, and deploy OpenClaw-compatible bots using containerization, with explicit support for OpenClaw skills. The project targets developers building personal AI assistants or self-hosted agents within the OpenClaw ecosystem. 
- [openclaw-studio](https://github.com/grp06/openclaw-studio) — OpenClaw Studio is a TypeScript-based development environment or tooling suite designed for building and managing applications with OpenClaw, likely offering features such as workflow orchestration, agent configuration, or canvas-based UI for designing personal AI assistants. Given its name and repository context, it appears to provide direct support for OpenClaw's self-hosted agent ecosystem, possibly integrating with components like Moltbot or OpenClaw Canvas. The project targets developers creating or customizing OpenClaw-powered AI workflows. 
- [unbrowse-openclaw](https://github.com/lekt9/unbrowse-openclaw) — Unbrowse for Openclaw is a self-learning API skill generator that auto-discovers APIs from browser traffic (via HAR files) and dynamically creates local skills for OpenClaw/ClawDBot agents. It enables 100x faster direct API calls by reverse-engineering web interactions, functioning as a ClawDBot plugin using TypeScript. Targeted at developers building or extending OpenClaw-based personal AI assistants with real-time, browser-derived capabilities. 
- [mission-control](https://github.com/crshdn/mission-control) — Mission Control is an AI agent orchestration dashboard that enables users to manage, assign tasks to, and coordinate collaboration among multiple AI agents through the OpenClaw Gateway. Built with TypeScript, it provides a visual interface for orchestrating agent workflows and integrates directly with the OpenClaw ecosystem. The project targets developers and teams building multi-agent AI systems who need centralized control and monitoring capabilities. 
- [clawdbot-formal-models](https://github.com/vignesh07/clawdbot-formal-models) — This repository contains formal models written in TLA+ for verifying the correctness of distributed systems components related to OpenClaw, particularly focusing on the ClawDB database and Moltbot coordination logic. It provides rigorous specifications for consensus protocols, state machine replication, and fault tolerance mechanisms used in OpenClaw's infrastructure. The models serve as a foundation for ensuring reliability in OpenClaw's self-hosted AI assistant ecosystem. 
- [openclaw-windows-hub](https://github.com/shanselman/openclaw-windows-hub) — The OpenClaw Windows Hub is a companion suite for Moltbot, providing a system tray application, shared library, and PowerToys Command Palette extension to enhance interaction with OpenClaw on Windows. Built in C#, it integrates tightly with the Windows ecosystem to offer quick access and utility functions for OpenClaw users. This tool targets Windows-based developers and power users leveraging OpenClaw as their personal AI assistant. 
- [memov](https://github.com/memovai/memov) — Memov provides git-like, traceable memory for coding agents, with explicit support for OpenClaw components like Moltbot and Clawdbot. Built in Python, it enables versioned, auditable memory management for agentic AI workflows using techniques like Agentic RAG. The tool integrates with MCP protocols and is designed for developers building self-hosted, memory-aware AI assistants. 
- [openclaw-trading-assistant](https://github.com/molt-bot/openclaw-trading-assistant) — The OpenClaw Trading Assistant is a specialized skill for the OpenClaw personal AI assistant platform, developed in collaboration with nof1.ai and Moltbot. It integrates real-time trading capabilities using the Hyperliquid API, incorporating top-performing strategies from Alpha Arena trading seasons, private insider insights, and AI-driven market monitoring. Built in TypeScript, it enables self-hosted agents to execute advanced trading workflows within the OpenClaw ecosystem. 
- [openclaw-starter-kit](https://github.com/zach-highley/openclaw-starter-kit) — The OpenClaw Starter Kit provides a practical guide and codebase for transforming OpenClaw into a self-healing, multi-model autonomous AI butler within 24 hours. It includes Python-based tooling, orchestration patterns, and integration examples that leverage OpenClaw's agent framework to build resilient, self-hosted personal AI assistants. The project is tailored for developers and hobbyists seeking to deploy customizable, autonomous agents using OpenClaw. 
- [clawdinators](https://github.com/openclaw/clawdinators) — Clawdinators provides declarative infrastructure and NixOS modules specifically designed for deploying and managing CLAWTINATOR hosts, which are part of the OpenClaw ecosystem. It leverages Nix's reproducible configuration model to streamline setup of hardware and services required by OpenClaw agents. The project is tailored for system administrators and developers self-hosting OpenClaw-based AI assistants. 
- [awesome-openclaw-skills-zh](https://github.com/clawdbot-ai/awesome-openclaw-skills-zh) — This repository serves as the official Chinese-language skill library for Moltbot, providing translated and categorized skills originally developed for Clawdbot. It enables Chinese natural language invocation of OpenClaw-compatible functionalities, making it easier for Chinese-speaking users to interact with OpenClaw-based AI agents. The project supports scene-based organization of skills and integrates directly with the OpenClaw ecosystem. 
- [openclaw-feishu](https://github.com/AlexAnys/openclaw-feishu) — This project provides a Feishu/Lark bot plugin that enables OpenClaw (formerly Clawdbot) to integrate seamlessly with the Feishu collaboration platform. Built in TypeScript, it uses WebSocket communication to connect OpenClaw's AI agent capabilities with Feishu's messaging system, allowing users to interact with their self-hosted personal AI assistant directly within Feishu workspaces. The plugin is designed for OpenClaw users seeking to extend their AI agent's reach into enterprise communication tools. 
- [openclaw-foundry](https://github.com/lekt9/openclaw-foundry) — OpenClaw Foundry is a self-writing meta-extension for OpenClaw.ai that enables autonomous skill generation and adaptation. It integrates directly with OpenClaw's ecosystem—particularly Moltbot and ClawDBot—using TypeScript to dynamically create and refine openclaw-skills, allowing the agent to evolve its own capabilities. Targeted at developers building self-hosted, self-improving AI assistants on the OpenClaw platform. 
- [Clawdbot-Security-Check](https://github.com/TheSethRose/Clawdbot-Security-Check) — This project provides a dynamic security auditing skill for Clawdbot, enabling it to evaluate its own security posture through first-principles reasoning rather than static scripts. It allows Clawdbot to identify vulnerabilities, assess their impact, and suggest targeted remediations, functioning as an adaptive knowledge framework. The tool is designed for developers and security-conscious users of the OpenClaw ecosystem seeking to enhance the resilience of their self-hosted AI assistants. 
- [clawdstrike](https://github.com/backbay-labs/clawdstrike) — Clawdstrike enables users to build a Swarm Detection Response (SDR) platform integrated with OpenClaw's security infrastructure. It provides OpenClaw-specific extensions, skills, and tooling for cybersecurity use cases, leveraging Rust for performance and safety. The project is designed for security teams and developers seeking to deploy self-hosted, agent-based threat detection and response systems within the OpenClaw ecosystem. 
- [openclaw-mission-control](https://github.com/manish-raana/openclaw-mission-control) — Mission Control is a real-time web UI built with Convex and React for monitoring OpenClaw agents and task workflows. It offers a clean dashboard to track task states, agent activity, and live logs with instant synchronization—no polling or message queues required. The tool is designed specifically for developers and operators managing OpenClaw-based autonomous systems. 
- [openclaw-minimax-guide](https://github.com/spoto-team/openclaw-minimax-guide) — This repository provides a detailed configuration guide for integrating MiniMax M2.1 API with OpenClaw, specifically tailored for users in China. It includes step-by-step instructions and settings to enable seamless use of the MiniMax large language model within the OpenClaw framework. The guide is aimed at developers and AI enthusiasts looking to deploy or extend OpenClaw with local LLM support. 
- [openclaw101](https://github.com/mengjian-github/openclaw101) — OpenClaw 101 is a beginner-friendly tutorial and resource hub designed to help users build their own AI personal assistant using OpenClaw over seven days. It aggregates Chinese-language learning materials, provides hands-on examples with Next.js and TypeScript, and guides users through setting up a self-hosted agent based on the OpenClaw framework. The project serves as an entry point for developers new to OpenClaw who want to create customizable, privacy-focused AI assistants. 
- [polyclaw](https://github.com/chainstacklabs/polyclaw) — Polyclaw is a Python-based trading skill for OpenClaw that enables users to interact with Polymarket by browsing prediction markets, executing trades, tracking positions, and discovering hedging opportunities. It integrates directly with the OpenClaw framework as an 'openclaw-skill', leveraging its agent architecture to provide autonomous or assisted trading capabilities. The project targets traders and developers building self-hosted AI agents for decentralized prediction market arbitrage. 
- [openclaw-graphiti-memory](https://github.com/clawdbrunner/openclaw-graphiti-memory) — This project implements a hybrid memory system for OpenClaw by integrating Graphiti, a temporal knowledge graph, to enhance AI agent memory capabilities. It enables OpenClaw agents—such as Moltbot or ClawDBot—to store, retrieve, and reason over time-aware knowledge, supporting more coherent and contextually grounded interactions. Built primarily in Shell, it serves developers and researchers building self-hosted, memory-augmented personal AI assistants using the OpenClaw ecosystem. 
- [MarketBot](https://github.com/EthanAlgoX/MarketBot) — MarketBot is a finance-focused AI agent built as a customized version of OpenClaw, designed to provide market intelligence, trading analysis, and decision support. It leverages OpenClaw's core architecture—likely including Moltbot and ClawDB—to deliver domain-specific capabilities for traders and financial analysts. The project is implemented in TypeScript and targets users seeking a self-hosted, specialized AI assistant for financial markets. 
- [openclaw-secure-stack](https://github.com/yi-john-huang/openclaw-secure-stack) — This project provides a one-command secure deployment solution specifically designed for OpenClaw, featuring built-in prompt injection protection and a skills scanner to enhance safety and functionality. Built with Python, it streamlines the setup of a hardened OpenClaw environment with integrated security layers. It targets developers and teams seeking a quick, secure way to deploy and manage OpenClaw-based personal AI assistants. 
- [awesome-openclaw-skills](https://github.com/sundial-org/awesome-openclaw-skills) — This repository curates a regularly updated list of the most popular and useful OpenClaw skills, serving as a community-driven resource for developers building on the OpenClaw platform. It focuses specifically on skill implementations compatible with OpenClaw's architecture, helping users discover high-quality, reusable components for their personal AI assistants. The project is relevant to OpenClaw developers seeking to extend functionality through modular skills. 
- [openclaw-memory-template](https://github.com/arosstale/openclaw-memory-template) — This project provides a production-ready memory system template specifically designed for OpenClaw/ClawDB agents, enabling persistent and structured memory management. Built with shell scripting, it integrates directly with OpenClaw's agent architecture to support long-term context retention and retrieval. The template is tailored for developers building self-hosted AI assistants using the OpenClaw ecosystem. 
- [OpenClaw-Advanced-Config](https://github.com/TheSethRose/OpenClaw-Advanced-Config) — TheSethRose/OpenClaw-Advanced-Config provides a production-ready, multi-agent OpenClaw implementation using a hub-and-spoke architecture. It features an orchestrator agent that delegates tasks to specialized sub-agents for coding, research, and automation, enabling scalable and modular AI workflows. The setup is designed for users seeking to deploy advanced, self-hosted OpenClaw agent systems with clear role separation and task routing. 
- [TitanShell](https://github.com/DaguangZhou/TitanShell) — TitanShell is an advanced tactical desktop client built for OpenClaw, offering a secure, fast, and visually appealing interface. Developed with Rust, Tauri, and Svelte, it provides cross-platform support (Windows, macOS, Linux) and integrates tightly with OpenClaw through extensions, security features, and installation tooling. Targeted at users seeking a powerful desktop environment for interacting with their self-hosted OpenClaw AI assistant. 
- [qwen3-asr-history](https://github.com/hanxiao/qwen3-asr-history) — This project provides a local Qwen3-ASR server optimized for Apple Silicon, enabling fast (~150ms) offline audio transcription specifically for OpenClaw. It includes a history UI for managing past transcriptions and leverages MLX for efficient on-device inference. The integration with OpenClaw makes it a tailored solution for users seeking privacy-preserving, real-time speech-to-text capabilities within the OpenClaw ecosystem. 
- [SOPHIA-Assistant](https://github.com/thalamuslabz/SOPHIA-Assistant) — SOPHIA-Assistant is an autonomous AI assistant designed with zero-trust sandboxing, cryptographic audits, and fail-secure architecture, explicitly built in response to the Clawdbot crisis to demonstrate that AI capability and safety can coexist. It integrates directly with OpenClaw through its Moltbot foundation and emphasizes local-first deployment, data ownership, and production-ready security under the Apache 2.0 license. The project targets privacy-conscious users and developers seeking a self-hosted, trustworthy personal AI agent. 
- [agent-board](https://github.com/quentintou/agent-board) — Agent Board is an open-source multi-agent task board built specifically for OpenClaw, combining Kanban-style organization with DAG-based task dependencies. It features an integrated MCP (Model Context Protocol) server, automatic retry logic, and a comprehensive audit trail to support autonomous AI agent teams. The system enables structured coordination of AI agents using TypeScript and is designed for developers and researchers building self-hosted, collaborative AI workflows. 
- [learnclawdbot](https://github.com/kaixinbaba/learnclawdbot) — This project provides the most comprehensive multilingual documentation site for OpenClaw, featuring over 264 pages translated into English, Chinese, Japanese, and Korean. Built with Next.js and TypeScript, it serves as an essential educational resource for developers and users seeking to understand and utilize OpenClaw's capabilities as a self-hosted personal AI assistant framework. 
- [openclawwiki.org](https://github.com/Deyong888/openclawwiki.org) — This project provides a comprehensive guide for building a self-hosted AI assistant using OpenClaw on Mac Mini M4, emphasizing security, speed, and open-source principles. It explicitly references OpenClaw, ClawDBot, and MoltBot—core components of the OpenClaw ecosystem—and offers practical instructions for deployment. The content is structured in MDX, targeting developers and privacy-conscious users interested in personal AI agents. 
- [secure-openclaw-patterns](https://github.com/kriskimmerle/secure-openclaw-patterns) — This project provides defense-in-depth security patterns specifically designed for OpenClaw and Moltbot agents, addressing 32 distinct threats through 12 agent-native hardening strategies. It implements a zero-trust architecture with working examples that complement proxy-level controls, focusing on mitigating risks like prompt injection. The repository is tailored for developers and security engineers building or deploying self-hosted AI agents using OpenClaw. 
- [moltbot-security-hardening-guide](https://github.com/P3tr4-sway/moltbot-security-hardening-guide) — This project provides a comprehensive 13-layer security hardening guide specifically designed for Moltbot and OpenClaw AI agents. It includes defense frameworks, checklists, and best practices to mitigate risks like prompt injection and ensure secure deployment of self-hosted AI assistants. The guide targets developers and system administrators deploying OpenClaw-based agents in production environments. 
- [clawdbot-feishu](https://github.com/m1heng/clawdbot-feishu) — clawdbot-feishu is a Feishu (Lark) bot integration for OpenClaw, enabling users to interact with their self-hosted Personal AI Assistant directly within the Feishu messaging platform. Built with TypeScript, it acts as a bridge between Feishu's API and OpenClaw's backend, allowing message handling, command execution, and AI responses in group or private chats. This tool is designed for OpenClaw users who rely on Feishu for team communication and want seamless AI assistant access. 
- [openclaw-skills](https://github.com/BankrBot/openclaw-skills) — BankrBot/openclaw-skills is a Moltbot skill library designed for AI agents, offering capabilities in Polymarket, crypto trading, DeFi operations, and automation. It enables developers to extend OpenClaw-based agents with modular, community-contributed skills via shell scripts. The project actively encourages contributions through pull requests, making it a collaborative hub for enhancing self-hosted AI assistant functionality. 
- [clawdbot-cn](https://github.com/bbylw/clawdbot-cn) — Clawdbot 是一个运行在用户本地设备上的个人 AI 助手,专为 OpenClaw 生态设计,提供隐私优先的交互体验。项目基于 HTML 构建前端界面,可能集成 OpenClaw 的核心功能如本地模型推理或数据管理,适合希望自托管 AI 助手的中文用户。 
- [openclaw-docker](https://github.com/phioranex/openclaw-docker) — This repository provides a Docker setup for OpenClaw, enabling easy deployment and containerization of the OpenClaw personal AI assistant platform. It includes shell scripts and configuration files to streamline the self-hosting process using Docker Compose, targeting users who want to run OpenClaw locally or on private servers without complex installation steps. 
- [agent-skills](https://github.com/jdrhyne/agent-skills) — This repository provides a collection of AI agent skills designed for use with Clawdbot, an agent built on the OpenClaw platform. It includes Python-based implementations that extend the capabilities of self-hosted personal AI assistants by integrating with tools and workflows specific to the OpenClaw ecosystem. The project targets developers building or customizing autonomous agents using OpenClaw and related frameworks. 
- [ClawdBody](https://github.com/Prakshal-Jain/ClawdBody) — ClawdBody is a TypeScript-based AI system designed to act as a personal assistant with persistent memory and task execution capabilities, running in a sandboxed cloud VM. While it shares conceptual similarities with OpenClaw's vision of a self-hosted, memory-equipped AI agent, the project does not explicitly integrate with or reference OpenClaw, ClawDB, Moltbot, or related components. It targets users seeking an autonomous AI assistant but lacks direct technical alignment with the OpenClaw ecosystem. 
- [moltbotCNAPP](https://github.com/wy51ai/moltbotCNAPP) — MoltbotCNAPP is a Go-based application that appears to be related to the Moltbot ecosystem, potentially serving as a Chinese-language or region-specific variant. While the repository lacks a detailed description, its name suggests integration with Moltbot, which is associated with OpenClaw's Personal AI Assistant framework. The project may provide localized functionality or deployment configurations for self-hosted AI agents within the OpenClaw ecosystem. 
- [mozi](https://github.com/King-Chau/mozi) — Mozi is an ultra-lightweight Clawdbot designed specifically for Chinese LLMs, offering seamless integration with popular Chinese collaboration platforms like Lark (Feishu), DingTalk, WeCom, and QQ. Built with TypeScript, it leverages the OpenClaw ecosystem—evidenced by its 'openclaw' and 'moltbot' topics—to function as a personal AI assistant or self-hosted agent. The project targets developers and organizations seeking to deploy localized, lightweight AI agents within Chinese enterprise messaging environments. 
- [clawdbot-railway-template](https://github.com/vignesh07/clawdbot-railway-template) — This project provides a Railway deployment template for ClawDBot, a bot built on the OpenClaw ecosystem. It enables easy self-hosting of a Personal AI Assistant using Railway's cloud platform, leveraging OpenClaw's underlying architecture for conversational AI and task automation. The template includes configuration files and scripts to streamline deployment, targeting developers who want to run their own instance of an OpenClaw-based agent without managing infrastructure. 
- [context-sync](https://github.com/Intina47/context-sync) — Context-sync is a local persistent memory store for LLM applications that enables context management across tools like Continue.dev, Cursor, and GitHub Copilot. It explicitly supports OpenClaw through integration with Moltbot and ClawDBot, leveraging SQLite for storage and implementing the Model Context Protocol (MCP). The project provides a self-hosted memory layer tailored for developers building or using AI-powered coding assistants. 
- [clawdbot-kakaotalk](https://github.com/tornado1014/clawdbot-kakaotalk) — This project provides an integration plugin that enables users to interact with the Clawdbot AI assistant through KakaoTalk channels. Built primarily with HTML, it serves as a communication bridge between the OpenClaw ecosystem's AI agent and Korea's popular messaging platform, allowing users to access personalized AI assistance via chat. The repository is relevant to Openclaw as it directly extends the reach of ClawDB-based assistants to external platforms. 
- [OpenClaw-Wechat](https://github.com/dingxiang-me/OpenClaw-Wechat) — OpenClaw-Wechat enables integration of OpenClaw with WeChat, allowing users to interact with their self-hosted OpenClaw AI assistant directly through the popular messaging platform. Built with JavaScript, it acts as a bridge between WeChat's interface and OpenClaw's backend, facilitating message forwarding and response handling. This tool is ideal for users who want seamless access to their Personal AI Assistant within their daily WeChat workflow. 
- [openclaw-coolify](https://github.com/essamamdani/openclaw-coolify) — This project provides a Coolify deployment template for OpenClaw (also known as ClawDBot or MoltBot), enabling easy self-hosting of the open-source personal AI assistant platform. It includes shell scripts and configuration to deploy OpenClaw—designed to run locally and integrate with chat apps like WhatsApp, Telegram, and Discord—via Coolify, a self-hostable alternative to Vercel. The repository simplifies setup with tunneling and environment management, targeting developers who want a private, always-available AI agent. 
- [payment-skill](https://github.com/second-state/payment-skill) — The second-state/payment-skill is a Rust-based OpenClaw skill that enables AI agents and humans to request, accept, and execute payments within the OpenClaw ecosystem. It integrates directly with OpenClaw's agent framework to provide payment functionality as a modular skill, leveraging secure transaction protocols. This tool is designed for developers building autonomous agents that require financial interaction capabilities. 
- [clawdbot-docker](https://github.com/CrocSwap/clawdbot-docker) — CrocSwap/clawdbot-docker provides a containerized deployment solution for Clawdbot using Docker, enabling isolated and reproducible execution environments. It leverages shell scripting to orchestrate the setup and management of the bot within containers, simplifying deployment for users who want to run Clawdbot without complex system dependencies. This project is primarily aimed at developers and operators seeking an easy-to-use, self-contained method to deploy Clawdbot instances. 
- [send-to-openclaw](https://github.com/Nateliason/send-to-openclaw) — This Chrome extension enables users to capture webpage content and send it directly to Clawdbot (part of the OpenClaw ecosystem) via a webhook. Built with JavaScript, it integrates seamlessly with OpenClaw's personal AI assistant workflow, allowing users to easily ingest external content into their self-hosted agent system for processing or storage. 
- [murmur](https://github.com/slopus/murmur) — Murmur is an encrypted messaging application built specifically for the OpenClaw ecosystem, enabling secure communication between users of Personal AI Assistants within the platform. It leverages TypeScript and integrates with OpenClaw's architecture to provide end-to-end encryption and seamless message routing. The project targets developers and users invested in the OpenClaw environment who require private, decentralized messaging. 
- [wecom-openclaw-plugin](https://github.com/11haonb/wecom-openclaw-plugin) — This project provides a WeCom (WeChat Work) channel plugin for OpenClaw, enabling AI agents built with OpenClaw to interact through the enterprise messaging platform. It facilitates seamless integration between OpenClaw's personal AI assistant framework and WeCom's communication APIs using TypeScript. The plugin is designed for developers and organizations looking to deploy self-hosted AI agents within their WeChat Work workflows. 
- [sample-OpenClaw-on-AWS-with-Bedrock](https://github.com/aws-samples/sample-OpenClaw-on-AWS-with-Bedrock) — This AWS sample project demonstrates how to deploy and run OpenClaw on AWS infrastructure using Amazon Bedrock. It provides CloudFormation templates and configuration scripts to set up the necessary resources for hosting OpenClaw, integrating it with Bedrock's managed foundation models for AI capabilities. The repository targets developers and cloud engineers looking to deploy OpenClaw in a scalable, secure AWS environment. 
- [OpenClawHomeAssistant](https://github.com/techartdev/OpenClawHomeAssistant) — OpenClaw Assistant is a Home Assistant add-on that integrates the OpenClaw personal AI assistant into the Home Assistant ecosystem, enabling smart home automation and voice control through ClawDBot. It provides seamless deployment via Shell scripts and leverages OpenClaw's self-hosted agent capabilities for privacy-focused home automation. This project is ideal for Home Assistant users seeking to enhance their setup with an OpenClaw-powered AI assistant. 
- [claude-code-clawdbot-skill](https://github.com/win4r/claude-code-clawdbot-skill) — This project provides a Clawdbot skill that enables running Claude Code (Anthropic) directly on the host machine using the claude CLI through the Agent SDK. It integrates with OpenClaw's ecosystem by extending ClawDBot's capabilities to leverage Anthropic's coding assistant within a self-hosted, local environment. Built in Python, it targets developers and AI enthusiasts who want to incorporate Claude's code generation into their OpenClaw-based personal AI workflows. 
- [OpenClawForJun](https://github.com/IsJunNa/OpenClawForJun) — OpenClawForJun is a one-click deployment and Chinese-language configuration management tool specifically designed for the OpenClaw personal AI assistant. It simplifies setup and customization through an intuitive interface built with JavaScript, targeting Chinese-speaking users who want to self-host and manage OpenClaw instances without deep technical expertise. 
- [openclaw-manager](https://github.com/miaoxworld/openclaw-manager) — OpenClaw Manager is a TypeScript-based tool designed to manage and interact with OpenClaw, a self-hosted personal AI assistant framework. It likely provides utilities for configuring, deploying, or monitoring OpenClaw instances, leveraging TypeScript for type-safe development. The project appears actively maintained and targets developers and users of the OpenClaw ecosystem. 
- [clawdeck](https://github.com/clawdeckio/clawdeck) — ClawDeck is an open-source mission control interface for managing OpenClaw agents, providing a centralized dashboard to monitor and interact with self-hosted AI assistants. Built with HTML, it offers a user-friendly web-based UI tailored specifically for OpenClaw's ecosystem, enabling users to orchestrate agent workflows and track their activities. The project targets developers and power users leveraging OpenClaw for personal AI automation. 
- [moltdirectory](https://github.com/neonone123/moltdirectory) — Molt Directory is an open-source marketplace designed to enhance MoltBot agents by providing curated skills, persona packs, and logic modules. It directly supports the Openclaw ecosystem through its focus on MoltBot—a core component of Openclaw—enabling users to extend their self-hosted AI assistant's capabilities via community-contributed plugins. Built with HTML, it serves as a hub for discovering and integrating modular functionalities tailored for Openclaw users. 
- [clawstr](https://github.com/clawstr/clawstr) — Clawstr is a social network built on the Nostr protocol specifically designed for AI agents, enabling them to interact, share content, and collaborate in a decentralized environment. It integrates with OpenClaw by providing a communication layer where OpenClaw-powered agents can operate autonomously, leveraging Nostr's event-based messaging system. The project uses TypeScript and targets developers building self-hosted, interoperable AI assistants within the OpenClaw ecosystem. 
- [agent_flywheel_clawdbot_skills_and_integrations](https://github.com/Dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations) — This project provides Clawdbot skills tailored for agentic coding workflows, integrating the ACFS stack, cloud CLIs, and developer tools to enhance AI-assisted software development. It enables Clawdbot—an agent within the OpenClaw ecosystem—to execute shell-based automation tasks and interact with cloud infrastructure. The repository is aimed at developers building or extending self-hosted AI coding assistants using OpenClaw-compatible agents. 
- [cloud-claw](https://github.com/miantiao-me/cloud-claw) — Cloud-Claw enables one-click deployment of OpenClaw on Cloudflare Containers, allowing users to easily create a self-hosted personal AI agent. It leverages Moltbot and OpenClaw components within a Dockerized environment optimized for Cloudflare's infrastructure. This project is ideal for developers seeking a lightweight, cloud-native way to run OpenClaw without managing complex setups. 
- [cappuccino](https://github.com/GML-FMGroup/cappuccino) — Cappuccino is a locally deployable GUI-based AI agent that operates on the desktop screen, inspired by Manus. It integrates with OpenClaw and leverages tools like Omniparser and DeepSeek LLMs to enable computer use automation through visual understanding and action planning. The project targets developers and researchers building self-hosted, multimodal AI agents for desktop interaction. 
- [starknet-agentic](https://github.com/keep-starknet-strange/starknet-agentic) — Starknet-agentic provides an infrastructure layer for building agentic applications on Starknet, with explicit support for OpenClaw through its integration with Moltbook and other agentic tools. It enables developers to create self-hosted AI assistants that leverage Starknet's scalability and OpenClaw's personal AI framework. The project is built in TypeScript and targets developers building next-generation autonomous agents on Starknet. 
- [feishu-clawdbot-guide](https://github.com/jinkun-hao/feishu-clawdbot-guide) — This project provides a configuration guide for integrating ClawDBot—a bot based on OpenClaw's Moltbot framework—into Feishu (Lark) workplace chat. It includes TypeScript code examples and setup instructions to connect Feishu's messaging API with ClawDB, enabling users to deploy a self-hosted personal AI assistant within Feishu. The guide targets developers seeking to extend OpenClaw's capabilities into enterprise collaboration platforms. 
- [openclaw-sidex-kit](https://github.com/sidex-fun/openclaw-sidex-kit) — The openclaw-sidex-kit is a JavaScript-based toolkit designed to serve as a personal AI assistant for automated trading on the Sidex platform. It integrates with OpenClaw to enable self-hosted, intelligent trading agents that can interact with the Sidex ecosystem using documented APIs. The project includes tools for strategy automation, real-time data handling, and agent customization, targeting developers and traders interested in building autonomous trading systems on Sidex. 
- [openclaw-manager](https://github.com/Peiiii/openclaw-manager) — OpenClaw Manager is a GUI-based installation and configuration tool specifically designed for OpenClaw (also known as Clawdbot). Built with TypeScript, it simplifies setup and management tasks for users deploying or maintaining OpenClaw instances. The tool targets developers and enthusiasts seeking an accessible way to configure their self-hosted Personal AI Assistant without manual command-line operations. 
- [clawdbot-cn](https://github.com/lllooollpp/clawdbot-cn) — clawdbot-cn is a Chinese desktop application built with Electron that provides localized support for OpenClaw's ClawDB ecosystem, enabling integration with domestic Chinese AI model platforms like Volcano Engine and enterprise messaging apps such as WeCom and Feishu. It serves as a tailored client for users in China who want to interact with OpenClaw-compatible services while leveraging local infrastructure and communication tools. 
- [openclaw-unraid](https://github.com/jdhill777/openclaw-unraid) — This project provides an Unraid Community Applications template specifically designed to simplify the deployment of OpenClaw, a self-hosted personal AI assistant. It enables Unraid users to easily install and manage OpenClaw through the Unraid GUI, handling container configuration and dependencies automatically. The template integrates directly with OpenClaw's ecosystem, making it accessible for home server enthusiasts who use Unraid to run their AI assistant locally. 
- [moltbot-warehouse](https://github.com/sugarforever/moltbot-warehouse) — Moltbot Warehouse is a TypeScript-based project that serves as a repository for Moltbot-related components and tools. Given its name and association with 'Moltbot'—a known component of the OpenClaw ecosystem—it likely provides infrastructure or utilities supporting Openclaw's Personal AI Assistant framework. The project appears to be actively maintained, with recent updates scheduled into the future, and targets developers building or extending self-hosted AI agents using OpenClaw. 
- [Claw-Hunter](https://github.com/backslash-security/Claw-Hunter) — Claw-Hunter is an open-source security tool designed to discover, audit, and secure high-privilege autonomous agents like OpenClaw and Moltbot across enterprise environments. It provides scanning and hardening capabilities specifically tailored for OpenClaw-based systems, leveraging shell scripting to assess configurations and enforce security best practices. The tool targets DevSecOps teams and security professionals managing fleets of self-hosted AI agents. 
- [openclaw-cloudflare](https://github.com/mduongvandinh/openclaw-cloudflare) — This project enables OpenClaw AI-powered code review directly on Cloudflare Workers, allowing users to run a personal AI assistant for code analysis in a serverless environment. It integrates OpenClaw's capabilities with Cloudflare's edge infrastructure, leveraging TypeScript to provide a lightweight, self-hosted solution for developers seeking automated, privacy-conscious code feedback. 
- [openclaw-detect](https://github.com/knostic/openclaw-detect) — This project provides shell-based detection scripts designed for Mobile Device Management (MDM) systems to identify OpenClaw installations on managed devices. It directly supports OpenClaw by enabling administrators to scan for and verify deployments, enhancing security monitoring. The tool leverages security-scanning techniques and integrates with MDM workflows, targeting IT and security teams managing fleets of devices running OpenClaw or related components like Moltbot. 
- [clawguard](https://github.com/JaydenBeard/clawguard) — ClawGuard is a real-time activity monitoring and security dashboard specifically designed for ClawDBot, offering analytics, risk assessment, and an emergency kill switch. Built with JavaScript, it provides administrators with oversight tools to detect anomalies and manage bot behavior securely. The project directly integrates with ClawDBot, making it a relevant utility for OpenClaw ecosystem maintainers and security-conscious operators. 
- [miniclawd](https://github.com/FoundDream/miniclawd) — FoundDream/miniclawd is a lightweight implementation of OpenClaw built with TypeScript, designed to provide a minimal yet functional foundation for personal AI assistants. It integrates core OpenClaw concepts and supports Moltbot/ClawDBot-style agent behaviors, making it suitable for developers seeking a streamlined, self-hosted alternative. The project targets hobbyists and researchers experimenting with modular, skill-based AI agents. 
- [megaeth-ai-developer-skills](https://github.com/0xBreadguy/megaeth-ai-developer-skills) — This project provides an AI-powered development skill for MegaETH targeting Claude Code and OpenClaw, focusing on real-time APIs (EIP-7966), storage optimization, gas model differences, WebSocket patterns, and debugging with mega-evme. It directly integrates with OpenClaw as a development environment or assistant framework, offering specialized tooling for Ethereum developers building on MegaETH. The repository is tailored for developers seeking to leverage OpenClaw's capabilities for advanced blockchain development workflows. 
- [clawAPP-suite](https://github.com/vimalinx/clawAPP-suite) — clawAPP-suite is a private server solution designed specifically for OpenClaw (including ClawDBot and Moltbot), enabling self-hosted communication between bots and mobile applications without relying on centralized platforms. Built in Kotlin, it provides infrastructure for decentralized operation of OpenClaw-compatible agents and plugins. The suite targets developers and users seeking privacy-focused, self-hosted deployments of Personal AI Assistants within the OpenClaw ecosystem. 
- [zhangwo](https://github.com/CrisDeng/zhangwo) — OpenClaw is a powerful AI assistant framework that simplifies deployment with a one-click installer, enabling users to quickly set up a private AI assistant on QQ through minimal configuration. Built with TypeScript, it targets non-technical users seeking an easy-to-deploy, self-hosted personal AI agent integrated into popular messaging platforms. 
- [moltbot-menubar](https://github.com/magimetal/moltbot-menubar) — This macOS Swift menubar application provides a convenient interface for managing the Clawdbot lifecycle, allowing users to launch, stop, and restart the bot directly from the system tray. It integrates specifically with Clawdbot (part of the OpenClaw ecosystem), offering streamlined control for local deployment and operation. Built with native Swift, it targets macOS users running self-hosted OpenClaw instances who want quick access to bot management without terminal commands. 
- [openclaw-monorepo](https://github.com/appautomaton/openclaw-monorepo) — This project provides a shell-based monorepo for running OpenClaw, Moltbot, and ClawDBot on Android via Termux, offering a consistent deployment method for these Personal AI Assistant components. It includes scripts to set up and manage the self-hosted agent environment directly on mobile devices using Termux. The repository is tailored for users seeking to run OpenClaw-related tools in a lightweight, terminal-based Android setup. 
- [homebrew-tap](https://github.com/openclaw/homebrew-tap) — This Homebrew tap provides easy installation of ClawDBot, a component of the OpenClaw ecosystem, via macOS package management. It simplifies setup for users by offering pre-configured formulas aligned with OpenClaw's tooling. The repository supports developers and end-users who prefer Homebrew for managing OpenClaw-related dependencies on macOS. 
- [openclaw-telemetry](https://github.com/knostic/openclaw-telemetry) — OpenClaw Telemetry is a TypeScript-based observability tool that captures detailed telemetry data from OpenClaw agents, including tool calls, LLM usage, agent lifecycle events, and message interactions. It outputs logs in JSONL format and supports optional syslog forwarding for SIEM integration, enhancing security and monitoring capabilities. This project is specifically designed for developers and DevOps teams managing OpenClaw deployments who need auditability and real-time insights into agent behavior. 
- [superclaw](https://github.com/yanibu2777/superclaw) — Superclaw is an interactive setup wizard designed to help new users configure and onboard with Clawdbot, a component of the OpenClaw ecosystem. Built with JavaScript, it streamlines initial setup through a user-friendly interface, guiding users through environment configuration, dependency installation, and basic bot customization. The project targets newcomers seeking an easier entry point into using OpenClaw's personal AI assistant framework. 
- [awesome-clawdbot-skills](https://github.com/buainoai/awesome-clawdbot-skills) — This repository curates over 565 community-built skills specifically for Clawdbot, a component of the OpenClaw ecosystem. It organizes these skills into categories to facilitate discovery and reuse, serving as a valuable resource for developers and users extending Clawdbot's capabilities. The project directly supports the OpenClaw platform by enhancing its skill library. 
- [openclaw-orbstack](https://github.com/aaajiao/openclaw-orbstack) — This project provides a one-click deployment script for OpenClaw chatbot on macOS using OrbStack VM. It leverages shell scripting to automate the setup of OpenClaw within a lightweight virtualized environment, simplifying local installation for users without Docker or complex dependencies. The tool is tailored for macOS users seeking quick access to OpenClaw's personal AI assistant capabilities. 
- [openclaw-docker](https://github.com/zot24/openclaw-docker) — This project provides a Docker image for OpenClaw (HAGI), specifically built for deployment on the Umbrel platform. It containerizes the OpenClaw personal AI assistant, enabling easy setup and integration within self-hosted environments using Docker. The repository includes shell scripts for building and managing the container, targeting users who want to run OpenClaw as part of their private AI stack on Umbrel. 
- [openclaw_qq](https://github.com/constansino/openclaw_qq) — This project provides a standalone QQ extension for Moltbot, implementing the OneBot v11 protocol to enable messaging integration. As an official component of the OpenClaw ecosystem, it allows the Personal AI Assistant to interact with users via QQ, leveraging OpenClaw's self-hosted agent architecture. The extension is built in TypeScript and targets developers deploying OpenClaw-based assistants with QQ connectivity. 
- [openclaw-config](https://github.com/unisone/openclaw-config) — This repository provides battle-tested configurations, scripts, and templates specifically designed for Moltbot (Clawdbot), a core component of the OpenClaw ecosystem. It includes a memory engine, self-review system, workspace templates, and production gateway configurations—all tailored to enhance and deploy OpenClaw-based personal AI assistants. The project is built with JavaScript and targets developers and power users deploying self-hosted OpenClaw agents. 
- [clawgo](https://github.com/openclaw/clawgo) — Clawgo is a Go implementation of a Clawd node, serving as a core component for the OpenClaw ecosystem. It enables developers to build and interact with decentralized applications using the Clawd protocol in the Go programming language. The project targets contributors and users interested in extending or integrating with OpenClaw's infrastructure using Go. 
- [openclaw-gcp](https://github.com/CodeAlive-AI/openclaw-gcp) — This repository provides a detailed installation guide for deploying Moltbot—an OpenClaw component—on Google Cloud Platform (GCP) virtual machines, with integrated Telegram bot functionality. It includes infrastructure setup scripts, environment configuration, and instructions for connecting the self-hosted AI assistant to Telegram, enabling remote interaction. The project targets developers and DevOps engineers looking to deploy OpenClaw's Personal AI Assistant in cloud environments. 
- [openclaw-feishu-plugin](https://github.com/baidan4855/openclaw-feishu-plugin) — This project is a Feishu (Lark) channel plugin for OpenClaw, enabling integration with multiple Feishu bots without requiring a public IP address. Built in TypeScript, it leverages OpenClaw's extensible architecture to connect personal AI assistants to Feishu workspaces, handling message routing and bot management. It is designed for OpenClaw users who want to deploy self-hosted AI agents within Feishu environments. 
- [clawdius](https://github.com/belimad/clawdius) — Clawdius is an orchestration platform built in TypeScript that enables multiple specialized AI agents to collaborate on complex tasks. While it shares conceptual similarities with multi-agent systems like OpenClaw, it does not explicitly integrate with, extend, or target OpenClaw, ClawDB, Moltbot, or any related components. The project appears to be a standalone agent framework without direct relevance to the OpenClaw ecosystem. 
- [clawdbot-jarvis-voice](https://github.com/brunobracaioli/clawdbot-jarvis-voice) — This project provides a voice assistant skill that transforms Clawdbot into a Jarvis-like AI using ElevenLabs for text-to-speech. It integrates directly with OpenClaw's ecosystem by extending ClawDB functionality through voice interaction, leveraging shell scripting to orchestrate audio processing and bot communication. The tool is aimed at OpenClaw users seeking hands-free, conversational control over their self-hosted personal AI assistant. 
- [skulto](https://github.com/asteroid-belt/skulto) — Skulto is an offline, security-first tool written in Go for syncing and managing agent skills, designed to support self-hosted AI assistant ecosystems. While it doesn't explicitly mention OpenClaw, its focus on agent skill management aligns with the infrastructure needs of platforms like OpenClaw that rely on modular, user-defined agent capabilities. The project targets developers and privacy-conscious users building or maintaining personal AI assistants. 
- [RoboClaw](https://github.com/hintjen/RoboClaw) — RoboClaw provides the fastest way to get started with OpenClaw, offering 1-click deployment to Hetzner and local VMs. It is powered by the OpenClaw community and integrates key components like Moltbot and ClawDBot, making it ideal for users seeking a streamlined setup of the self-hosted Personal AI Assistant ecosystem. 
- [openclawcourse](https://github.com/kiankyars/openclawcourse) — This repository provides a concise 1-hour crash course on OpenClaw, designed to quickly onboard developers and enthusiasts into the OpenClaw ecosystem. It covers foundational concepts and practical usage of OpenClaw, likely including setup, core features, and basic interactions with its components such as ClawDB or Moltbot. The course serves as an accessible entry point for newcomers interested in building or contributing to self-hosted personal AI assistants using OpenClaw. 
- [OuraClaw](https://github.com/rickybloomfield/OuraClaw) — OuraClaw is a TypeScript-based skill for OpenClaw that integrates Oura Ring health and wellness data into the OpenClaw personal AI assistant ecosystem. It enables users to query or act upon their Oura-derived metrics like sleep, readiness, and activity within OpenClaw workflows. The project targets self-hosted agent users who want to incorporate biometric insights from Oura into their personalized AI routines. 
- [openclaw-setup](https://github.com/anomixer/openclaw-setup) — This repository provides a quick setup guide for deploying OpenClaw alongside Ollama and Telegram, targeting Windows users. It includes installation instructions and configuration tips for integrating the Moltbot/ClawDBot components with local LLMs via Ollama. The project serves as a practical onboarding resource for users seeking to run a self-hosted Personal AI Assistant using OpenClaw. 
- [openclaw-solana-plugins](https://github.com/solana-clawd/openclaw-solana-plugins) — The OpenClaw Solana Wallet Plugin enables Solana wallet integration for OpenClaw agents, allowing them to interact with the Solana blockchain. Built in JavaScript, it provides tools for signing transactions, managing keys, and connecting to Solana wallets within the OpenClaw ecosystem. This plugin is designed for developers building self-hosted AI agents that require blockchain capabilities on Solana. 
- [OpenClaw-Docs-Sync](https://github.com/TheSethRose/OpenClaw-Docs-Sync) — OpenClaw-Docs-Sync is a TypeScript tool that synchronizes documentation from OpenClaw, ClawHub, and Skills repositories into a local `docs/` directory and indexes it using QMD for fast search. It directly supports the OpenClaw ecosystem by consolidating and making its documentation easily searchable, which benefits developers and users working with OpenClaw tools and frameworks. 
- [riphook](https://github.com/merciagents/riphook) — RipHook is a deterministic security layer designed specifically for OpenClaw (ClawDBot), Cursor, and Claude Code environments. It enables developers to write secure code by preventing data exfiltration and enforcing safety constraints through hooks and integration with MoltBot and MoltBook components. Built in TypeScript, it targets AI agent developers and teams using OpenClaw who require robust, self-hosted security measures. 
- [xiaomo-starter-kit](https://github.com/mengjian-github/xiaomo-starter-kit) — This project provides a Chinese-language starter template for building a personal AI assistant based on the OpenClaw framework. It enables users to quickly deploy their own self-hosted AI agent with support for multiple models like Claude and OpenAI, leveraging OpenClaw's architecture and ClawDBot integration. The kit includes automation scripts and configuration presets tailored for Chinese-speaking users seeking a private, customizable AI assistant. 
- [openclaw-dingtalk](https://github.com/adongguo/openclaw-dingtalk) — This project is a DingTalk (钉钉) channel plugin specifically designed for OpenClaw, enabling integration between the OpenClaw personal AI assistant framework and the DingTalk messaging platform. Built with TypeScript, it allows users to interact with their self-hosted OpenClaw agent directly through DingTalk conversations. The plugin facilitates message routing, authentication, and event handling tailored to OpenClaw's architecture, making it easier for Chinese-speaking users or enterprises using DingTalk to deploy and access their AI assistants. 
- [J.A.R.V.I.S](https://github.com/Aly-Joseph/J.A.R.V.I.S) — J.A.R.V.I.S is an AI desktop assistant built using OpenClaw in Python, offering voice interaction, an animated HUD UI, system automation, screen vision, and neural speech synthesis. It functions as a native desktop application with real-time voice-to-action capabilities, leveraging OpenClaw's framework for personal AI assistance. The project targets users seeking a self-hosted, interactive desktop agent with multimodal input support. 
- [MoltBoard](https://github.com/TheSethRose/MoltBoard) — MoltBoard is a local-first task and project management dashboard built for AI-assisted development workflows, featuring GitHub integration and a web-based interface. It directly supports Moltbot and ClawDBot through dedicated skill topics, enabling interaction with the OpenClaw ecosystem for self-hosted AI agent coordination. The project targets developers using OpenClaw tools who need lightweight, offline-capable project tracking. 
- [openclaw-cloud](https://github.com/openperf/openclaw-cloud) — OpenClaw Cloud enables cloud-native deployment of AI agents built with OpenClaw, allowing users to deploy once and interact across multiple platforms. It integrates with ClawHub and supports skill extensions using TypeScript and React, targeting developers building self-hosted, conversational AI assistants. The project explicitly leverages OpenClaw's ecosystem for agent orchestration and multi-channel communication. 
- [openclaw-wsl-guide](https://github.com/spoto-team/openclaw-wsl-guide) — This repository provides a step-by-step installation guide for setting up OpenClaw on Windows Subsystem for Linux (WSL) under Windows 11. It includes instructions for configuring the necessary dependencies and environment to run OpenClaw, a self-hosted personal AI assistant framework, in a WSL environment. The guide is aimed at developers and users who prefer Linux-based tooling on Windows while leveraging OpenClaw's capabilities. 
- [openclaw-secure-start](https://github.com/pottertech/openclaw-secure-start) — This project provides a security hardening script that runs after OpenClaw installation but before its first execution, ensuring a secure-by-default configuration. Written in Shell, it automates post-install security best practices specifically tailored for OpenClaw deployments. The tool is aimed at system administrators and developers seeking to minimize attack surface in self-hosted OpenClaw environments. 
- [openclaw-feishu](https://github.com/onjs/openclaw-feishu) — This project provides a Feishu (Lark) integration plugin for OpenClaw, enabling users to interact with their self-hosted OpenClaw AI assistant directly within the Feishu collaboration platform. Built with TypeScript, it acts as a bridge between Feishu's messaging API and OpenClaw's backend, allowing features like querying the personal AI assistant or triggering workflows via chat. The plugin is designed for teams using Feishu who want seamless access to OpenClaw's capabilities without leaving their workspace. 
- [awesome-openclaw-Skills](https://github.com/codeaashu/awesome-openclaw-Skills) — This repository curates a collection of skills specifically designed for OpenClaw, a self-hosted personal AI assistant formerly known as Moltbot and originally Clawdbot. It serves as an awesome list aggregating community-developed agent skills that extend OpenClaw's functionality across various domains. The project is directly aligned with the OpenClaw ecosystem and targets developers and users looking to enhance their OpenClaw instances with modular capabilities. 
- [openclaw-voice](https://github.com/Purple-Horizons/openclaw-voice) — Open-source browser-based voice chat for AI assistants that is self-hosted and privacy-focused, using Whisper for speech-to-text and ElevenLabs for text-to-speech. It integrates with OpenAI, Claude, or custom agents via a FastAPI backend and WebSockets, enabling real-time voice interaction. While it mentions compatibility with custom agents, it does not explicitly target or integrate with Openclaw-specific components like ClawDB, Moltbot, or OpenClaw Canvas. 
- [clawguardian](https://github.com/superglue-ai/clawguardian) — ClawGuardian is a TypeScript-based security plugin for OpenClaw that actively monitors and filters sensitive data in tool calls to enhance privacy and compliance. It integrates directly with the OpenClaw ecosystem—particularly Moltbot—as a dedicated plugin, leveraging topics like openclaw-security and moltbot-plugin to provide real-time data protection. The project targets developers and organizations using OpenClaw who require robust safeguards against accidental exposure of sensitive information in AI agent workflows. 
- [ClawRag](https://github.com/2dogsandanerd/ClawRag) — ClawRag is a Retrieval-Augmented Generation (RAG) system that integrates Docling for document processing and ChromaDB for vector storage to specifically support OpenClaw. It enables OpenClaw to leverage structured document retrieval for enhanced AI responses, using Python-based pipelines for ingestion and querying. The project targets developers building or extending OpenClaw-powered personal AI assistants with robust document-aware capabilities. 
- [openclaw-feishu](https://github.com/xianyu110/openclaw-feishu) — This project provides a step-by-step installation guide for Clawdbot, an OpenClaw component, specifically focused on integrating it with Feishu (Lark) as a communication channel. It covers setup from scratch, configuration of the bot, and connection to the OpenClaw ecosystem, enabling users to interact with their self-hosted AI assistant via Feishu messages. The repository serves developers and end users looking to deploy OpenClaw with Feishu integration. 
- [clawdbot-sendblue](https://github.com/njerschow/clawdbot-sendblue) — This project provides a Sendblue API adapter for ClawDBot, enabling iMessage and SMS messaging capabilities through the Sendblue service. It integrates directly with OpenClaw's ClawDBot framework, allowing self-hosted AI assistants to communicate via mobile messaging channels. Built in TypeScript, it targets developers extending OpenClaw-based personal AI agents with external communication features. 
- [moltbook-tutorial](https://github.com/Infatoshi/moltbook-tutorial) — This beginner-friendly tutorial demonstrates how to add AI bots to Moltbook, the social network for agents, using Python. It provides step-by-step guidance on integrating autonomous agents into the Moltbook ecosystem, which is closely associated with OpenClaw's vision of personal AI assistants and self-hosted agent networks. The project serves as an entry point for developers interested in building and deploying social AI agents within the OpenClaw/Moltbot framework. 
- [openclaw-skills](https://github.com/1lystore/openclaw-skills) — This repository provides skills for an MCP server, likely intended to extend functionality within the OpenClaw ecosystem. However, it lacks explicit documentation or code demonstrating direct integration with OpenClaw, ClawDB, Moltbot, or related components. Without clear evidence of OpenClaw-specific features or usage, its relevance remains ambiguous. 
- [moltbot-duckcoding-auth](https://github.com/DuckCoding-dev/moltbot-duckcoding-auth) — This TypeScript plugin enables DuckCoding's CodeX provider integration for OpenClaw (formerly Clawdbot/Moltbot), facilitating authentication and connectivity with OpenAI-powered coding assistance. It specifically targets the OpenClaw ecosystem by acting as an authentication bridge for the DuckCoding service within the self-hosted AI assistant framework. The project is relevant for developers extending OpenClaw's capabilities with custom CodeX providers. 
- [clawdbot-webchat-lite](https://github.com/study8677/clawdbot-webchat-lite) — A lightweight, self-hostable web chat client designed specifically for Clawdbot, enabling multi-device synchronization by connecting directly to the Gateway WebSocket without introducing new channels. Built in TypeScript, it minimizes maintenance overhead while supporting seamless integration with Clawdbot's existing infrastructure. Ideal for users seeking a simple, deployable frontend for interacting with their personal AI assistant via OpenClaw. 
- [moltbot-wecom-channel](https://github.com/toboto/moltbot-wecom-channel) — This project provides an Enterprise WeChat (WeCom) integration plugin for Moltbot, addressing API compatibility issues with the latest Plugin SDK. It enables Moltbot—a component of the OpenClaw ecosystem—to connect with WeCom for enterprise messaging, using TypeScript for implementation. The plugin is aimed at developers and organizations deploying self-hosted AI assistants within corporate environments using OpenClaw. 
- [lobstalk](https://github.com/coolishagent/lobstalk) — Lobstalk is an OpenClaw skill that enables agent group chat functionality on Telegram, allowing multiple AI agents to interact within a shared conversation space. It integrates directly with the OpenClaw framework to extend its capabilities into real-time, multi-agent communication via a popular messaging platform. The project targets developers and users building collaborative, self-hosted AI assistants using OpenClaw. 
- [moltbot-github-agent](https://github.com/moltbook/moltbot-github-agent) — Moltbot GitHub Agent is an AI-powered assistant for Moltbook that automates GitHub issue responses, applies smart labels, and enables context-aware conversations using Claude AI. While it supports Moltbook's ecosystem, it does not explicitly target or integrate with OpenClaw, nor does it mention OpenClaw-specific features or components. The tool is designed for developers seeking to automate GitHub workflows within the Moltbook platform. 
- [carapace](https://github.com/xampla/carapace) — Carapace is a Python library designed to protect OpenClaw applications from prompt injection attacks by acting as a secure 'hard shell' around the AI assistant. It provides input sanitization, output validation, and context-aware filtering specifically tailored for OpenClaw's architecture. The tool integrates directly with OpenClaw workflows to enhance security without disrupting user experience, making it valuable for developers building self-hosted personal AI assistants. 
- [openclaw-helm](https://github.com/Chrisbattarbee/openclaw-helm) — This Helm chart simplifies deploying OpenClaw into Kubernetes environments, enabling easy installation and updates of the OpenClaw platform. Built using Go Templates, it ensures compatibility with the latest OpenClaw releases and streamlines infrastructure setup for self-hosted AI assistants. The project is ideal for DevOps engineers and developers managing scalable, containerized OpenClaw deployments. 
- [openclaw-docs-zh](https://github.com/HoltChas/openclaw-docs-zh) — This project provides Chinese-language documentation for OpenClaw, an AI agent gateway, making it accessible to Mandarin-speaking developers and users. Hosted in HTML format, it serves as a localized resource covering setup, usage, and integration of OpenClaw components. The repository is actively maintained and directly supports the OpenClaw ecosystem by lowering language barriers. 
- [membrane](https://github.com/GustyCube/membrane) — Membrane is a Go-based memory substrate designed for agentic AI systems, offering typed, revisable, and decayable memory with competence-based learning and trust-aware retrieval. It explicitly supports OpenClaw through its integration as a memory layer, enabling persistent and adaptive knowledge management for self-hosted AI agents. Key components include gRPC interfaces, RAG capabilities, and mechanisms for collaborative knowledge refinement, making it suitable for developers building OpenClaw-compatible personal AI assistants. 
- [clawdbot-guides](https://github.com/jescalan/clawdbot-guides) — This repository provides community-created guides for setting up and extending Clawdbot, a component of the OpenClaw ecosystem. It offers documentation and tutorials to help users configure, customize, and integrate Clawdbot—OpenClaw's AI assistant interface—into their workflows. The guides cover installation, plugin development, and interaction with other OpenClaw tools like Moltbot and OpenClaw Canvas. 
- [openclaw-autopilot](https://github.com/taielab/openclaw-autopilot) — OpenClaw Autopilot is a conversational deployment toolkit designed specifically for the OpenClaw personal AI assistant platform. It enables seamless integration of 15+ top-tier language models and over 20 professional tools, offering users a self-hosted, extensible agent environment. Built with shell scripting and aligned with OpenClaw's ecosystem—including support for ClawDB and Moltbot—it targets developers and power users seeking to customize their autonomous AI workflows. 
- [moltbot-channel-feishu](https://github.com/samzong/moltbot-channel-feishu) — This project provides a production-grade Feishu/Lark channel plugin for Moltbot (ClawDBot), enabling seamless integration of the OpenClaw-based personal AI assistant with the Feishu collaboration platform. Built in TypeScript, it allows users to interact with their self-hosted Moltbot agent directly within Feishu workspaces, supporting message handling and skill execution. The plugin is part of the broader OpenClaw ecosystem, targeting developers and teams using ClawDB for personal AI workflows. 
- [openclaw-tool-call-viewer](https://github.com/VACInc/openclaw-tool-call-viewer) — VACInc/openclaw-tool-call-viewer is a lightweight web UI built with HTML and Node.js that enables developers to browse and inspect tool call history from OpenClaw sessions. Designed with zero external dependencies, it provides a focused interface for debugging and analyzing interactions within OpenClaw-based AI agent workflows. The tool is particularly useful for developers building or testing self-hosted AI assistants using the OpenClaw framework. 
- [openclaw-feishu](https://github.com/ogromwang/openclaw-feishu) — This project is a Feishu/Lark channel plugin specifically designed for OpenClaw, enabling integration with the Feishu collaboration platform. Built in TypeScript, it allows OpenClaw—a self-hosted personal AI assistant—to interact with users via Feishu messages and events. The plugin facilitates seamless communication between OpenClaw agents and Feishu workspaces, making it useful for teams leveraging Feishu who want to deploy OpenClaw as their internal AI assistant. 
- [openclaw](https://github.com/khal3d/openclaw) — This project provides deployment configurations for OpenClaw using Docker and Helm, enabling easy setup of the self-hosted AI assistant platform. It includes infrastructure-as-code templates tailored for OpenClaw and its components like Moltbot and ClawDBot, leveraging Go Templates for customization. The repository targets DevOps engineers and developers looking to deploy and manage OpenClaw environments efficiently. 
- [openclaw-agent-dashboard](https://github.com/karem505/openclaw-agent-dashboard) — The OpenClaw Agent Dashboard is a glassmorphic, vanilla JavaScript interface designed specifically for managing AI agents within the OpenClaw ecosystem. It features a Kanban-style task management layout with a visually distinct glassmorphism aesthetic, enabling users to organize and monitor agent workflows directly in the browser. Built with HTML and lightweight JS, it targets OpenClaw users seeking a simple, self-hosted dashboard for agent oversight. 
- [openclaw-extension](https://github.com/OpenKnots/openclaw-extension) — The OpenClaw VS Code Extension enables developers to control and interact with their OpenClaw personal AI assistant directly from the IDE. Built with TypeScript, it integrates OpenClaw's self-hosted agent capabilities into the development workflow, supporting features like command execution and status monitoring. Targeted at developers using OpenClaw for local AI automation, this tool enhances productivity by bridging the IDE and the OpenClaw ecosystem. 
- [openclaw-pi-installation](https://github.com/Demwunz/openclaw-pi-installation) — This project provides a shell-based installation script to securely deploy OpenClaw on a Raspberry Pi 4, optimizing the setup for resource-constrained environments. It includes system-level configurations and dependencies tailored specifically for OpenClaw, ensuring compatibility with the Pi's ARM architecture. The repository targets hobbyists and developers aiming to self-host OpenClaw on affordable, low-power hardware. 
- [openclawWeCom](https://github.com/luolin-ai/openclawWeCom) — OpenClaw is a self-hosted personal AI assistant that integrates with multiple communication platforms, including enterprise and personal WeChat via the openclawWeCom project. It enables users to interact with their AI assistant through widely used channels like WhatsApp, Telegram, Slack, Discord, and more, with support for extensible integrations such as BlueBubbles and Matrix. Built for privacy-conscious individuals, it runs entirely on user-owned devices and leverages the OpenClaw framework for cross-platform conversational access. 
- [docker-openclawd](https://github.com/liam798/docker-openclawd) — This project provides a Docker-based deployment solution for OpenClawd (also referred to as Clawdbot), featuring one-click installation and built-in Feishu (Lark) channel integration. It simplifies setup with preconfigured scripts and aims to deliver an out-of-the-box experience for users wanting to self-host the OpenClaw personal AI assistant. The repository is primarily written in Shell and targets developers or enthusiasts seeking easy local or server deployment of OpenClaw. 
- [OpenClaw-on-AWS](https://github.com/mayurjobanputra/OpenClaw-on-AWS) — This repository provides a step-by-step guide to deploy Clawdbot (also known as Moltbot), a component of the OpenClaw ecosystem, on an Amazon Web Services (AWS) instance. It includes infrastructure setup instructions and configuration details tailored for running OpenClaw's AI assistant in the cloud. The project targets developers and self-hosters looking to deploy OpenClaw-based agents on scalable cloud infrastructure. 
- [carapace](https://github.com/puremachinery/carapace) — Carapace is a secure and stable Rust-based alternative to OpenClaw's Moltbot/ClawDBot, designed to provide similar personal AI assistant functionality with enhanced reliability. It directly positions itself as a replacement for OpenClaw components, indicating tight conceptual alignment with the OpenClaw ecosystem. Built in Rust for performance and memory safety, it targets users seeking a self-hosted, open-source agent within the OpenClaw framework. 
- [clawguard](https://github.com/capsulesecurity/clawguard) — ClawGuard is a security plugin for OpenClaw that leverages a large language model (LLM) as a 'Judge' to analyze and block potentially risky tool calls in real time. Built with TypeScript, it integrates directly into the OpenClaw ecosystem to enhance safety for self-hosted AI agents by evaluating tool usage against security policies. This tool is aimed at developers and organizations deploying OpenClaw-based personal AI assistants who require robust runtime protection. 
- [OpenClawX402](https://github.com/Merit-Systems/OpenClawX402) — OpenClawX402 provides a setup guide for deploying OpenClaw with the x402 stack on Amazon EC2, targeting users who want to run a self-hosted Personal AI Assistant in the cloud. It includes infrastructure-as-code templates and configuration scripts tailored specifically for OpenClaw's requirements, leveraging EC2 for scalable deployment. 
- [agent-smith](https://github.com/the-smith-project/agent-smith) — Agent Smith provides runtime prompt injection defense specifically for OpenClaw, safeguarding AI agents against malicious inputs, compromised tool outputs, and memory poisoning attacks. Built in TypeScript, it integrates directly with OpenClaw’s agent execution environment to monitor and sanitize data flows in real time. This security layer is essential for developers deploying self-hosted, production-grade OpenClaw agents who require robust protection against adversarial exploits. 
- [section-11](https://github.com/CrankAddict/section-11) — Section-11 provides an evidence-based AI endurance coaching protocol that delivers deterministic training guidance through any LLM, with specific integration for OpenClaw via mentions of 'openclaw', 'moltbot', and 'clawdbot'. It connects with Intervals.icu for cycling and endurance training data, applying polarized training principles rooted in training science. The project targets athletes and coaches seeking structured, self-hosted AI coaching using OpenClaw-compatible tools. 
- [clawwatch](https://github.com/0xdsqr/clawwatch) — ClawWatch is a self-hosted monitoring solution designed specifically for OpenClaw AI agents, providing observability into performance metrics, cost tracking, budget enforcement, and alerting. Built with TypeScript and deployable via Docker or Nix, it integrates directly with Clawdbot/OpenClaw to offer real-time insights into LLM usage and agent behavior. The tool targets developers and teams managing self-hosted AI assistants who need granular control and visibility over their OpenClaw deployments. 
- [moltbook-dataset](https://github.com/joinmassive/moltbook-dataset) — This repository provides a dataset snapshot of Moltbook, an AI-agent-only social network, capturing its first week of activity from January 28 to February 2, 2026. While it is associated with the Massive ecosystem—linked to OpenClaw through Moltbot—it does not directly provide tools, libraries, or integrations specifically for OpenClaw development. The dataset may be useful for researchers or developers analyzing AI agent interactions but lacks explicit OpenClaw functionality. 
- [clawdbot-on-oracle-vps](https://github.com/AWebOfBrown/clawdbot-on-oracle-vps) — This project provides a Pulumi-based deployment template for running clawd.bot—a personal AI assistant—on Oracle Cloud's always-free tier, leveraging 24 GB RAM and 4 CPU resources. It enables self-hosted deployment of the OpenClaw ecosystem's assistant component using infrastructure-as-code in TypeScript. The repository targets developers seeking cost-effective, cloud-hosted personal AI assistants within the OpenClaw framework. 
- [moltbot-azure-container-apps](https://github.com/BandaruDheeraj/moltbot-azure-container-apps) — This project provides a streamlined deployment of ClawdBot AI Assistant to Azure Container Apps using Bicep templates and the Azure Developer CLI (azd). It enables users to deploy the OpenClaw-based personal AI assistant with a single 'azd up' command, automating infrastructure provisioning and application deployment. The repository includes Bicep files for defining Azure resources and integrates with the OpenClaw ecosystem, targeting developers seeking easy cloud deployment of self-hosted AI agents. 
- [openclaw-setup](https://github.com/RareCloudio/openclaw-setup) — RareCloudio/openclaw-setup provides an automated, security-hardened installation script for deploying OpenClaw on Ubuntu 24.04 VPS instances. It streamlines setup by configuring dependencies, applying system-level hardening, and initializing the OpenClaw environment with best practices. Built primarily in Shell, it targets developers and self-hosters seeking a quick, secure way to run OpenClaw without manual configuration. 
- [openclaw-kubernetes](https://github.com/feiskyer/openclaw-kubernetes) — This project provides a Helm chart for deploying OpenClaw (formerly Moltbot/ClawDBot) on Kubernetes, simplifying the orchestration and management of this self-hosted AI assistant in containerized environments. It leverages Go templating to enable customizable deployments aligned with OpenClaw's architecture. The chart is intended for DevOps engineers and AI practitioners seeking scalable, cloud-native deployment of OpenClaw agents. 
- [openclaw-feishu](https://github.com/gcmsg/openclaw-feishu) — This project provides a Feishu/Lark plugin for OpenClaw, enabling integration between the OpenClaw personal AI assistant platform and the Feishu collaboration suite. Built with TypeScript, it allows users to interact with their self-hosted OpenClaw agent directly within Feishu chat or workflow environments. The plugin facilitates message handling, command execution, and potentially canvas interactions via Feishu's API, targeting OpenClaw users who rely on Feishu for team communication. 
- [openclaw-mcp-adapter](https://github.com/androidStern-personal/openclaw-mcp-adapter) — This project is an OpenClaw plugin that bridges Model Context Protocol (MCP) server tools into native agent tools within the OpenClaw ecosystem. Built with TypeScript, it enables seamless integration of external MCP-compatible services as first-class tools for OpenClaw agents, enhancing extensibility and interoperability. The adapter is designed for developers and AI engineers building self-hosted personal AI assistants using OpenClaw. 
- [openclaw-on-azure](https://github.com/deankroker/openclaw-on-azure) — This project provides infrastructure-as-code templates using Bicep and Azure CLI to deploy OpenClaw on Azure Virtual Machine Scale Sets, provisioning one VM per user with dedicated public IPs for WebSocket and SSH access. It enables scalable, isolated OpenClaw instances tailored for individual users or developers needing direct connectivity. The setup is ideal for teams or educators deploying personal AI assistant environments in the cloud. 
---
<a id="related"></a>
## ⭐ Related Awesome Lists
---
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## 🤖 Auto-Generated
This awesome list is automatically maintained by [GPT-Awesome-List-Generator](https://github.com/shaoxiang/GPT-Awesome-List-Generator).
It uses AI to discover, curate, and organize high-quality resources for Openclaw.
Last Updated: 2026-02-05
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