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<h1 align="center">Awesome AI Pulse Georgia</h1>
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<b>A curated collection of AI agent frameworks, developer tools, and automation resources</b><br/>
Curated by <a href="https://aipulsegeorgia.ge">AI Pulse Georgia</a>
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<p align="center"><i>A curated collection of AI agent frameworks, developer tools, and automation resources — by AI Pulse Georgia</i></p>
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## Table of Contents
- [AI Agents and Orchestration](#ai-agents-and-orchestration)
- [Claude Code Extensions and Skills](#claude-code-extensions-and-skills)
- [MCP Servers and Integrations](#mcp-servers-and-integrations)
- [Browser Automation](#browser-automation)
- [AI Research and Development](#ai-research-and-development)
- [Memory and Knowledge Management](#memory-and-knowledge-management)
- [Productivity and Automation](#productivity-and-automation)
- [Resources and References](#resources-and-references)
---
## AI Agents and Orchestration
| Repository | Description |
|---|---|
| [Paperclip](https://github.com/paperclipai/paperclip) | Node.js server + React UI that orchestrates a team of AI agents to autonomously run a business (zero-human companies). Users provide their own agents (OpenClaw, Claude Code, Codex, Cursor, Bash, HTTP), specify company goals, and view a dashboard — org chart, budget, governance, and audit log. As README says: “If OpenClaw is an employee, Paperclip is the company." |
| [MiroFish](https://github.com/666ghj/MiroFish) | Multi-agent swarm intelligence engine that creates a digital parallel world from real-world data (news, politics, financial signals) and simulates thousands of agents for forecasting. Agents have individual personalities, long-term memory, and behavioral logic. Works on macro (policy testing) and micro (creative scenario simulation) levels. |
| [Hermes](https://github.com/nousresearch/hermes-agent) | Self-improving AI agent from Nous Research with a built-in learning loop. Creates skills from experience, improves them, stores memory, searches for past conversations, and builds a user profile across sessions. Supports any LLM, multiple platforms (Telegram, Discord, Slack, WhatsApp, Signal), cron automation, and sub-agents. |
| [OpenClaw](https://github.com/openclaw/openclaw) | Personal AI assistant that works on any OS and platform (“the lobster way"). Combines 20+ messaging channels (WhatsApp, Telegram, Slack, Discord, Signal, iMessage), voice, and Canvas on macOS/iOS/Android. Supports multi-agent routing, tools (browser, cron, sessions), voice wake mode, and local-first design. |
| [OpenSpace](https://github.com/HKUDS/OpenSpace) | Self-evolving AI agent framework that enables agents to automatically learn, improve, and share skills with each other (AUTO-FIX, AUTO-IMPROVE, AUTO-LEARN). Reduces token cost by 46% and increases task quality. Works with Claude Code, OpenClaw, Codex, Cursor, and other autonomous agents. |
## Claude Code Extensions and Skills
| Repository | Description |
|---|---|
| [Oh My ClaudeCode](https://github.com/yeachan-heo/oh-my-claudecode) | Multi-agent orchestration plugin for Claude Code with autonomous modes: autopilot (5-phase pipeline), team (parallel agents on a shared task list), ralph (works until everything is verified), and ultrawork (maximum parallelism for fast correction). |
| [Superpowers](https://github.com/obra/superpowers) | Agent skills and workflow framework that empowers Claude Code (and Cursor, Codex) with structured workflows — debugging, test-driven development, brainstorming, code review, specification-based development, and parallel agent dispatching. |
| [Everything Claude Code](https://github.com/affaan-m/everything-claude-code) | AI agent harness performance optimization system — skills, instincts, memory optimization, security scanning, and research-driven development. Works with Claude Code, Codex, and other AI agent harnesses. |
| [Claude Code Setup](https://github.com/tornikebolokadze1-cyber/claude-code-setup) | Preconfigured Claude Code setup with 17 rules, 7 hooks, 7 templates, and a /setup command — professional work environment in one step. |
| [UI UX Pro Max](https://github.com/nextlevelbuilder/ui-ux-pro-max-skill) | UI/UX design automation skill for Claude Code. 67+ design styles, color palettes, font pairs, and structured design-system generation with AI assistant. |
| [Codex Plugin for Claude Code](https://github.com/openai/codex-plugin-cc) | Official OpenAI plugin that allows you to hand over code review and development tasks to OpenAI's Codex agent directly from Claude Code — collaborative work of two AI coding assistants. |
| [GSD (Get Shit Done)](https://github.com/gsd-build/get-shit-done) | Meta-prompting and specification-based development system for Claude Code (and Codex, Cursor, Gemini CLI), which solves the context rot problem — quality degradation that occurs when AI agents fill in context. |
| [Obsidian Skills](https://github.com/kepano/obsidian-skills) | Agent skills for working with Obsidian vaults. Read, write, search, and manage Markdown, Bases, and JSON Canvas files directly from Claude Code, Codex CLI, or any AgentSkills-compatible agent. |
| [n8n Skills](https://github.com/czlonkowski/n8n-skills) | Collection of n8n workflow automation skills for Claude Code — ready-made templates, patterns, and best practices for building n8n workflows with AI assistant. Companion project: [n8n-MCP](https://github.com/czlonkowski/n8n-mcp) ([n8n-skills.com](https://www.n8n-skills.com/)). |
## MCP Servers and Integrations
| Repository | Description |
|---|---|
| [n8n-MCP](https://github.com/czlonkowski/n8n-mcp) | MCP server that connects AI assistants (Claude Code, Cursor, Windsurf) to the n8n workflow automation platform. Builds, validates, and manages n8n workflows in natural language. Companion project: [n8n-skills](https://github.com/czlonkowski/n8n-skills) ([n8n-mcp.com](https://www.n8n-mcp.com/) / [n8n-skills.com](https://www.n8n-skills.com/)). |
| [Playwright MCP](https://github.com/microsoft/playwright-mcp) | Microsoft's official Playwright MCP server for browser automation from AI agents — testing, scraping, and web interaction directly from Claude Code. |
| [Prism MCP](https://github.com/dcostenco/prism-mcp) | Active cognitive architecture MCP server that provides AI agents with persistent memory, self-organizing knowledge graph, multi-agent synchronization, and Obsidian vault export for structured knowledge management. |
| [Claude Peers MCP](https://github.com/louislva/claude-peers-mcp) | MCP server that allows multiple Claude Code instances running on one machine to discover each other and communicate in real-time. Designed for developers working on multiple Claude sessions across different projects who need them to collaborate with instant messaging. |
| [GitHub MCP Server](https://github.com/github/github-mcp-server) | GitHub's official MCP server that directly connects AI tools to the GitHub platform. Enables AI agents to perform GitHub operations in natural language — repository management, issue tracking, and workflow automation. |
| [Context7](https://github.com/upstash/context7) | MCP server that provides up-to-date, version-specific documentation directly in LLM prompts, eliminating hallucinating APIs and outdated code examples. Designed for developers using AI coding assistants (Cursor, Claude Code) who need accurate, current library documentation. |
## Browser Automation
| Repository | Description |
|---|---|
| [Playwright CLI](https://github.com/microsoft/playwright-cli) | Token-efficient CLI interface for Playwright browser automation, built as a skills coding agent. Lightweight browser control without MCP overhead, optimized for Claude Code, GitHub Copilot, and other AI coding assistants. Supports recording, code generation, and selector inspection. |
| [Browser Use](https://github.com/browser-use/browser-use) | Python library that makes websites accessible to AI agents — filling out forms, navigating, and extracting data automatically. Designed for browser-based AI automation pipelines. |
## AI Research and Development
| Repository | Description |
|---|---|
| [AutoResearch](https://github.com/karpathy/autoresearch) | Minimal autonomous ML experiment setup by Andrej Karpathy — iteratively swaps and trains small LLMs on a single GPU, runs experiments overnight, and saves only improvements. Automates hyperparameter and architecture search for ML researchers. |
| [LightRAG](https://github.com/hkuds/lightrag) | Lightweight Retrieval-Augmented Generation framework with graph-based knowledge indexing (EMNLP 2025). Enables fast and accurate search over large document collections for AI agents. |
| [Pretext](https://github.com/chenglou/pretext) | Pure JavaScript/TypeScript library for measuring and laying out multi-line text without DOM reflow. Supports Canvas, SVG, and DOM rendering with fast, accurate text layout in multiple languages. Useful for virtualization and masonry layouts. |
## Memory and Knowledge Management
| Repository | Description |
|---|---|
| [Hindsight](https://github.com/vectorize-io/hindsight) | Agent memory system that goes beyond conversational recall and helps AI agents learn and improve over time, not just remember. Provides state-of-the-art long-term memory performance (LongMemEval benchmark). |
| [Claude Mem](https://github.com/thedotmack/claude-mem) | Memory compression system for Claude Code — automatically captures everything Claude does during a session, compresses it with AI, and then returns relevant context in subsequent sessions. |
| [NotebookLM Python](https://github.com/teng-lin/notebooklm-py) | Unofficial Python API and CLI for Google NotebookLM with full programmatic access to NotebookLM features, including those not available in the web interface. Designed for developers and AI agents to automate notebook operations. |
## Productivity and Automation
| Repository | Description |
|---|---|
| [Google Workspace CLI](https://github.com/googleworkspace/cli) | Unified command-line tool for managing Google Workspace services — Drive, Gmail, Calendar, Sheets, Docs, Chat, and Admin. Dynamically built from Google Discovery Service, providing CLI and AI agent access to the full Google Workspace ecosystem. |
## Resources and References
| Repository | Description |
|---|---|
| [Awesome Claude Code](https://github.com/hesreallyhim/awesome-claude-code) | Curated list of Claude Code resources, plugins, skills, MCP servers, and community tools — the definitive catalog of the Claude Code ecosystem. |
| [Claude How-To](https://github.com/luongnv89/claude-howto) | Visual, example-based guide for Claude Code — from basic concepts to advanced agents, with copy-paste templates for quick start. |
| [Free LLM API Resources](https://github.com/cheahjs/free-llm-api-resources) | Curated list of free LLM inference APIs and resources for developers and hobbyists who want to experiment with language models without API fees. |
| [Public APIs](https://github.com/public-apis/public-apis) | Massive collection of free APIs listed by category — a primary reference for developers looking for public data sources and services to integrate. |
---
## About Us
<p align="center">
<a href="https://aipulsegeorgia.ge"><img src="https://img.shields.io/badge/AI_Pulse_Georgia-2025-00D0FF?style=for-the-badge&labelColor=111827" alt="AI Pulse Georgia 2025"/></a>
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This list is maintained by **[AI Pulse Georgia](https://aipulsegeorgia.ge)** — a community focused on AI agents, automation, and the future of autonomous systems.
> *"Exploring Georgia's AI Future"*
If you find this list helpful, give it a star and share it with others who are building with AI agents.
## Contributing
Find a great repository that fits this list? Open an issue or submit a pull request.
## License
[](https://creativecommons.org/publicdomain/zero/1.0/)
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