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# OpenSquilla — Token-Efficient AI Agent <img src="assets/opensquilla-long-logo.png" alt="OpenSquilla logo" width="500"> Same budget, more capability, better results. A microkernel AI agent for your CLI, Web UI, and chat channels. <a href="https://github.com/TokenRhythm/opensquilla/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/TokenRhythm/opensquilla/ci.yml?style=for-the-badge" alt="CI"></a> <a href="https://opensquilla.ai/"><img src="https://img.shields.io/badge/website-opensquilla.ai-blue?style=for-the-badge" alt="Website"></a> <a href="https://github.com/TokenRhythm/opensquilla/releases"><img src="https://img.shields.io/github/v/release/TokenRhythm/opensquilla?include_prereleases&style=for-the-badge" alt="GitHub release"></a> <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.12%2B-blue?style=for-the-badge" alt="Python 3.12+"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-Apache%202.0-blue?style=for-the-badge" alt="Apache 2.0 License"></a> English · <a href="README.zh-Hans.md">中文</a> · <a href="README.ja.md">日本語</a> · <a href="README.fr.md">Français</a> · <a href="README.de.md">Deutsch</a> · <a href="README.es.md">Español</a> --- ## News - 📢 **2026-08-22** — The English version of our technical report is now on aiXiv: [aixiv.260822.000001](https://aixiv.science/abs/aixiv.260822.000001), and the Chinese version is on ChinaXiv: [202608.00176](https://chinaxiv.org/abs/202608.00176). See [Citation](#citation) for how to cite OpenSquilla. - 📢 **2026-07-14** — Our technical report **[Agentic Routing: The Harness-Native Data Flywheel](https://arxiv.org/abs/2607.11399)** is now on arXiv. It shows how the harness-native router turns everyday agent traffic into a self-improving data flywheel, and how **multi-model ensemble routing surpasses Fable 5**. --- ## Overview OpenSquilla is a token-efficient, microkernel AI agent. A local model router sends each turn to the cheapest model that can handle it, while persistent memory, a layered sandbox, built-in web search, and on-device embeddings round out a single shared turn loop. Every entry point — Web UI, CLI, and chat channels — runs through that same loop, so tool dispatch, retries, and decision logging behave identically everywhere. A pluggable provider layer speaks to TokenRhythm, OpenRouter, OpenAI, Anthropic, Ollama, DeepSeek, Gemini, Qwen/DashScope, and 20+ other LLM providers with no change to your code or config schema. OpenSquilla 0.5.6 is the current stable release. For task-oriented product documentation, start with the [OpenSquilla Product Guide](README.product.md) or the [documentation index](docs/README.md). --- ## Installation OpenSquilla runs on Windows, macOS, and Linux. Pick the path that matches your use case. Desktop installers and Quick terminal install give you a prebuilt **release** — no Git required. The other two — Install from source and Develop from source — build **from a Git checkout** (`git clone` + Git LFS), including the Vue control console. Release wheels and Desktop installers already contain that console, so their users do **not** need Node.js or npm. Release install commands use published GitHub release assets. Python wheel installs use versioned wheel filenames because installers validate the version embedded in the wheel filename. For 0.5.6 desktop use, prefer the packaged desktop installers from the GitHub Release: `OpenSquilla-0.5.6-mac-arm64.dmg` on macOS and `OpenSquilla-0.5.6-win-x64.exe` on Windows. | Path | Audience | When to use | | --- | --- | --- | | [Desktop installers](#desktop-installers) **(recommended desktop)** | macOS and Windows users | Packaged desktop app | | [Quick terminal install](#quick-terminal-install) **(recommended)** | End users on any OS | Release wheel from a terminal | | [Install from source](#install-from-source) | Users tracking `main` | Run from a checkout, not edit it | | [Develop from source](#develop-from-source) | Contributors | Edit, test, or debug the source | ### Prerequisites | Requirement | Quick terminal install | Install from source | Develop from source | | --- | :---: | :---: | :---: | | Python 3.12+ | via `uv` | via `uv` or system | via `uv` | | Git + Git LFS | — | required | required | | Node.js 22.12+ + npm | — | required to build the Web UI | required for Web UI and wheels | | `uv` | installed if missing | recommended | required | The default `recommended` profile installs **SquillaRouter** — OpenSquilla's on-device model router — and its model assets; `OPENSQUILLA_INSTALL_PROFILE=core` omits those dependencies. The separate `--router disabled` onboarding flag keeps the dependencies installed but turns the router off at runtime. On Windows, SquillaRouter's bundled ONNX runtime also needs the Visual C++ runtime. The from-source PowerShell installer installs it automatically via `winget`; the **Quick terminal install** (`uv tool install`) path does not — if startup logs a `DLL load failed` error, install it manually (see [Troubleshooting](#troubleshooting)). OpenSquilla keeps running with direct single-model routing until it is installed. On macOS terminal installs, SquillaRouter's LightGBM runtime may also need the system OpenMP library. The desktop app bundles the runtime it needs, but **Quick terminal install** does not install Homebrew/system libraries. If startup logs `Library not loaded: @rpath/libomp.dylib`, run `brew install libomp`, then restart the gateway. OpenSquilla keeps running with direct single-model routing until it is installed. Install links: [Git](https://git-scm.com/downloads) · [Git LFS](https://git-lfs.com/) · [Node.js](https://nodejs.org/en/download) · [uv](https://docs.astral.sh/uv/getting-started/installation/). ### Desktop installers The 0.5.6 desktop installers package the Vue control console and gateway runtime in an Electron shell. - macOS Apple Silicon: <https://github.com/TokenRhythm/opensquilla/releases/download/v0.5.6/OpenSquilla-0.5.6-mac-arm64.dmg> - Windows x64: <https://github.com/TokenRhythm/opensquilla/releases/download/v0.5.6/OpenSquilla-0.5.6-win-x64.exe> For faster Mainland China downloads, use the OSS direct-download aliases: - macOS Apple Silicon: <https://opensquilla-releases.oss-cn-beijing.aliyuncs.com/releases/latest/OpenSquilla-mac-arm64.dmg> - Windows x64: <https://opensquilla-releases.oss-cn-beijing.aliyuncs.com/releases/latest/OpenSquilla-win-x64.exe> These fixed links advance only after a newer eligible release passes mirror verification. Use the versioned GitHub Release links above when you need a specific release. Quit any running OpenSquilla desktop app before upgrading. On macOS, drag the app from the DMG into Applications for installation or updates, eject the DMG, then open the Applications copy. The existing Desktop profile in the platform application-data directory is reused. A terminal installation's `~/.opensquilla` is a separate profile; transfer it explicitly from Settings only if needed. When upgrading the Windows Desktop from RC3 to RC4 or later, run the new installer directly over the existing installation. Do **not** uninstall RC3 first: its uninstaller may remove Desktop user data. Back up `%APPDATA%\OpenSquilla` before upgrading. RC4 and later installers preserve profile data during a normal uninstall. Code signing policy: [`docs/code-signing-policy.md`](docs/code-signing-policy.md). > [!NOTE] > The 0.5.6 Windows installer is Authenticode signed as Beijing TokenRhythm > Technologies Co., Ltd. The published v0.5.4 Windows installer remains unsigned. > SmartScreen reputation can still take time > to build for a new publisher or application. If enterprise policy blocks the > Desktop app, use [Quick terminal install](#quick-terminal-install) instead. ### Quick terminal install The recommended path on Windows, macOS, and Linux. `uv` installs OpenSquilla into its own isolated environment and manages its own Python — no system Python required. This path installs published releases only; for `main`, development branches, or local checkouts use [Install from source](#install-from-source). **1. Install `uv`** — skip if `uv --version` already works. Linux / macOS: ```sh curl -LsSf https://astral.sh/uv/install.sh | sh . "$HOME/.local/bin/env" ``` Windows PowerShell: ```powershell powershell -c "irm https://astral.sh/uv/install.ps1 | iex" $env:Path = "$env:USERPROFILE\.local\bin;" + $env:Path ``` **2. Install OpenSquilla** — the same command on every platform. ```sh uv tool install --python 3.12 "opensquilla[recommended] @ https://github.com/TokenRhythm/opensquilla/releases/download/v0.5.6/opensquilla-0.5.6-py3-none-any.whl" ``` This installs the OpenSquilla wheel from the release URL, then lets `uv` download the dependencies declared by the selected extras. The default `recommended` extra includes SquillaRouter runtime dependencies such as ONNX Runtime, LightGBM, NumPy, and tokenizers, so a first install needs network access unless those wheels are already cached. `uv` does not install system native runtimes such as macOS `libomp` or the Windows Visual C++ Redistributable; see [Troubleshooting](#troubleshooting) if the router runtime reports a native-library load error. **3. Configure and run.** ```sh opensquilla onboard opensquilla gateway run ``` > [!NOTE] > If `opensquilla` is not found right after a fresh `uv` install, open > a new terminal, or re-run the PATH line from step 1. For a fully pinned install, use the versioned wheel URL: `https://github.com/TokenRhythm/opensquilla/releases/download/v0.5.6/opensquilla-0.5.6-py3-none-any.whl`. ### Install from source Use this path to run OpenSquilla from a checkout without editing it. The clone is only the package source for the installer; after install, use the `opensquilla` command — do not run `uv run`. Choose [Develop from source](#develop-from-source) instead if you intend to modify the code. 1. **Clone with LFS assets** ```sh git lfs install git clone https://github.com/TokenRhythm/opensquilla.git cd opensquilla git lfs pull --include="src/opensquilla/squilla_router/models/**" ``` 2. **Run the installer** **macOS / Linux** ```sh bash scripts/install_source.sh ``` **Windows PowerShell** ```powershell powershell -ExecutionPolicy Bypass -File ./scripts/install_source.ps1 ``` The script installs `.[recommended]` (SquillaRouter + memory + local models) into a dedicated user environment via `uv tool install`. Before the Python install, it runs `npm ci` and `npm run build` in `opensquilla-webui`. Every source reinstall recreates the locked `node_modules` tree and rebuilds the console; the first run normally has the largest dependency download, while a warm npm cache reduces later network use but not all build time or disk writes. It then installs the built console with the Python package, falling back to `python -m pip install --user` when `uv` is unavailable. If `opensquilla` is not on `PATH` after install (common on a fresh host where `~/.local/bin` is not yet on `PATH`), run `uv tool update-shell` and open a new terminal; see [Troubleshooting](#troubleshooting) for details. Direct `pip install .`, `uv tool install .`, and VCS URL installs are low-level source-build paths, not substitutes for this installer. A local checkout works only after its Web UI has been built; a VCS URL checkout has no generated artifact and is intentionally rejected. Use this source installer or an official release wheel instead. 3. **(optional) Install advanced extras.** Most channels — Feishu, Telegram, DingTalk, QQ, WeCom, Slack, and Discord — work from the base install. The opt-in extras are: - `matrix` — Matrix channel (pulls in `matrix-nio`) - `matrix-e2e` — Matrix channel with end-to-end encryption (requires libolm) - `document-extras` — PDF generation via WeasyPrint ```sh OPENSQUILLA_INSTALL_EXTRAS=matrix bash scripts/install_source.sh # macOS / Linux ``` ```powershell powershell -ExecutionPolicy Bypass -File ./scripts/install_source.ps1 -Extras matrix # Windows ``` 4. **Configure and run** — see [Configuration](#configuration). <details> <summary>Install from source — terminal prerequisites and installer options</summary> **Install prerequisites (Git, Git LFS, Node.js 22.12+ with npm, uv) from a terminal** Windows PowerShell: ```powershell winget install --id Git.Git -e winget install --id GitHub.GitLFS -e winget install --id OpenJS.NodeJS.LTS -e powershell -ExecutionPolicy Bypass -c "irm https://astral.sh/uv/install.ps1 | iex" git lfs install ``` macOS (Homebrew): ```sh brew install git git-lfs node uv git lfs install ``` Debian / Ubuntu: ```sh sudo apt update && sudo apt install -y git git-lfs curl curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash - sudo apt install -y nodejs curl -LsSf https://astral.sh/uv/install.sh | sh git lfs install ``` On Fedora use `sudo dnf install -y git git-lfs`; on Arch use `sudo pacman -S --needed git git-lfs`; install Node.js 22.12+ and npm from your distribution or nodejs.org, then install `uv` with the `curl` command above. PATH changes from these installers apply to new terminal sessions. **Installer environment variables and PATH checks** ```sh OPENSQUILLA_INSTALL_PROFILE=core bash scripts/install_source.sh # minimal runtime, no SquillaRouter OPENSQUILLA_INSTALL_DRY_RUN=1 bash scripts/install_source.sh # print the plan only ``` Verify which `opensquilla` your shell runs with `command -v opensquilla` (macOS/Linux) or `where.exe opensquilla` (Windows). If it is not on `PATH`, run `uv tool update-shell`. After reinstalling from a local checkout, restart the gateway so it loads the updated package. </details> ### Develop from source Use this path when you are working on OpenSquilla's source code: making changes, running tests, or debugging behavior against this checkout. It is not the normal install path. Unlike [Install from source](#install-from-source), this path requires `uv`: `uv sync` creates a repository-local `.venv`, and `uv run` executes commands against the files in this checkout. ```sh cd opensquilla-webui npm ci npm run build cd .. uv sync --extra recommended --extra dev uv run opensquilla --help ``` Run `npm run build` again after changing Web UI sources. Standard wheel builds fail closed when the generated console is missing or stale; editable `uv sync` installs remain available for backend-only work. The `recommended` extra includes SquillaRouter for development too; the `dev` extra installs the test, lint, and typecheck tools. Install additional extras into the same environment you run: ```sh uv sync --extra recommended --extra dev --extra matrix uv run opensquilla channels status matrix --json ``` In this mode, prefix every `opensquilla` command in [Configuration](#configuration) with `uv run`. Do not debug a development checkout through a user-local `opensquilla` command — that command runs in a different Python environment. ### Uninstall Remove OpenSquilla with `opensquilla uninstall`. It keeps your data by default and removes only the program: ```sh opensquilla uninstall --dry-run # preview what would be removed and kept opensquilla uninstall # remove the program, keep your data ``` To delete data too, opt in explicitly: ```sh opensquilla uninstall --purge-state # sessions, logs, cache, scheduler, memory opensquilla uninstall --purge-config # config.toml and secrets (.env) opensquilla uninstall --purge-all # everything (asks you to type a confirmation) ``` The running gateway is drained and stopped first, deletion stays inside the OpenSquilla home, and Docker/desktop installs get guided removal steps instead. Desktop or OS app removal remains platform-specific; the CLI guidance does not remove a desktop app bundle. See [`docs/cli.md`](docs/cli.md#uninstall) for the full reference. --- ## Usage Statistics and Privacy OpenSquilla uses the existing **Network reporting** switch for V1 statistics and both V2 statistics streams. Reporting is enabled by default and can be turned off in Privacy settings, without separate onboarding choices or consent popups: - **Reliability diagnostics** records bounded operation results for app and Gateway startup, crashes, turns, tools, file parsing, updates, and session performance. - **Product and growth analytics** records client launches, product activity, and one-time acquisition, onboarding, app-readiness, registration, and first-successful-turn milestones. Existing installations do not become new-user cohorts just by enabling reporting. The streams retain separate session/journey identifiers, durable queues, upload endpoints, and retention policies. Reliability events go to `/v1/reliability/events`; growth events go to `/v1/growth/events`. Retries reuse `event_id` for server-side deduplication, and growth events are not sampled. Application events also carry a one-way, application-specific `device_id` derived locally from the OS machine identifier when available. Daily/monthly activity and feature device counts deduplicate this token across profiles and client surfaces. Legacy events without it are excluded from device counts; operation totals and success rates still count actual operations. V2 statistics never include prompts, responses, file names, file paths, file contents, tool arguments, task parameters, provider configuration, raw account IDs, order data, MAC addresses, IP addresses, or raw OS machine identifiers. Complete crash stacks stay local unless the user explicitly prepares and shares a support bundle. V1 installation/version reporting at `/v1/install` and daily conversation/token totals at `/v1/usage` run alongside V2 after Gateway readiness. Only completed UTC days are uploaded; pending days retry hourly. Existing installation state is retained. Daily event IDs use a persistent random identity per aggregate database to separate profiles while keeping retries stable. V1 retains its pseudonymous installation ID derived locally from MAC/IP data, with a persisted random fallback; raw MAC/IP values are not uploaded. The `X-OpenSquilla-Install-Id` provider header remains retired, and V2 keeps its independent identities. To force all non-user-initiated network observability off before startup: ```sh OPENSQUILLA_PRIVACY_DISABLE_NETWORK_OBSERVABILITY=true ``` or set: ```toml [privacy] disable_network_observability = true ``` This is a hard veto over V1 and both V2 statistics streams, passive update checks, and automatic desktop update checks. Disabling Network reporting pauses pending uploads and stops collection without deleting local statistics state. Previously saved per-scope declines are migrated to the unified switch being off; users can then change that one setting. CI, test, and `DO_NOT_TRACK` environments also fail closed for statistics uploads. Other user-initiated actions may still contact configured providers, search services, channels, or release hosts. Explicit update-availability checks remain disabled while the unified or legacy update opt-out controls are active. Legacy opt-out environment variables remain honored: ```sh OPENSQUILLA_TELEMETRY_DISABLED=true OPENSQUILLA_UPDATE_CHECK_DISABLED=true ``` The legacy statistics variable disables V1 and V2 reporting. The legacy update variable also suppresses V1 uploads for compatibility, but does not disable V2. See [`PRIVACY.md`](PRIVACY.md) for the complete data, reporting, deletion, update, and external-producer rules. --- ## Configuration ### First-run setup `opensquilla onboard` is the interactive first-run wizard. It writes the active config file and keeps provider secrets in environment variables when you pass `--api-key-env`. The router defaults to `recommended` (SquillaRouter on supported providers); pass `--router disabled` for direct single-model routing. ```sh opensquilla onboard # full interactive wizard opensquilla onboard --if-needed # idempotent: safe for scripts and re-installs opensquilla onboard --minimal # provider only; skip channels and search opensquilla onboard status # inspect every setup section without writing ``` In SSH, CI, or any environment without a TTY, use the non-interactive form — keep the secret in the environment and pass its **name**, not its value: **Linux / macOS** ```sh export OPENROUTER_API_KEY="sk-..." opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY ``` **Windows PowerShell** ```powershell $env:OPENROUTER_API_KEY="sk-..." opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY ``` OpenRouter is only an example — substitute any supported provider and its API-key variable. Re-configure one section later without redoing the whole wizard (these examples assume the relevant API key is already in the environment): ```sh opensquilla configure provider --provider openai --model gpt-4o --api-key-env OPENAI_API_KEY opensquilla configure router --router recommended opensquilla configure search --search-provider duckduckgo opensquilla configure search --search-provider exa --api-key-env EXA_API_KEY opensquilla configure channels ``` Sections: `provider`, `router`, `channels`, `search`, `image-generation`, `memory-embedding`. The Web UI exposes the same catalog and status model at `/control/setup`: Provider and Router are the fast path, while Channels, Search, Image generation, and Memory embedding sit in the Capability Center and can be configured later. Empty channels are treated as an opt-out, not a failed setup. **Config load order:** `OPENSQUILLA_GATEWAY_CONFIG_PATH` → `./opensquilla.toml` → `~/.opensquilla/config.toml` → built-in defaults. Environment values for individual secrets always win over file values. ### Migrate from OpenClaw or Hermes Agent If you already have state under `~/.openclaw` or `~/.hermes`, run a dry run first to inspect the migration report, then apply it explicitly: ```sh opensquilla migrate openclaw --json opensquilla migrate openclaw --apply opensquilla migrate hermes --json opensquilla migrate hermes --apply ``` Use `opensquilla migrate --source openclaw,hermes --apply` to import both default homes. Add `--migrate-secrets` only after reviewing the dry-run report. See [`MIGRATION.md`](MIGRATION.md) for custom paths and conflict handling. ### Run ```sh opensquilla gateway run # foreground, 127.0.0.1:18791 opensquilla gateway start --json # background + health wait opensquilla chat # interactive REPL opensquilla agent -m "your prompt" # one-shot, automation-friendly ``` For subprocess progress, add `--event-stream-stderr`. The final result keeps its existing stdout format, while stderr receives incrementally flushed, privacy-bounded v1 JSONL events. Consumers must drain stderr continuously and only treat objects with `"_event": true` as events because ordinary diagnostics can share the stream. See [docs/cli.md](docs/cli.md#agent-progress-event-stream) for the versioned schema and compatibility contract. Parallel agent subprocesses must use separate profile homes and persistent state roots. Set both variables for every child: ```sh OPENSQUILLA_STATE_DIR=/tmp/agent-a \ OPENSQUILLA_GATEWAY_STATE_DIR=/tmp/agent-a/state \ opensquilla agent -m "task A" --json --event-stream-stderr & OPENSQUILLA_STATE_DIR=/tmp/agent-b \ OPENSQUILLA_GATEWAY_STATE_DIR=/tmp/agent-b/state \ opensquilla agent -m "task B" --json --event-stream-stderr & wait ``` On Windows, set both values in each child process environment. If an orchestrator copies `config.toml` or `.env`, remove or rewrite every `state_dir` or `OPENSQUILLA_GATEWAY_STATE_DIR` value as well. Explicitly shared session DB, workspace, scratch, transcript, and usage paths remain shared by design. > **Development-only OpenTUI terminal UI.** Release installs continue to use > the Python-native chat. The richer full-screen frontend currently runs only > from a [Develop from source](#develop-from-source) checkout; no companion host > is published in release assets or installed by the release installer. From > the checkout, install the pinned Bun dependencies once, then launch against > that same source tree: > > ```sh > bun install --frozen-lockfile --cwd=src/opensquilla/cli/tui/opentui/package > OPENSQUILLA_TUI_DEV_SOURCE_HOST=1 uv run opensquilla chat --ui tui > ``` > > Use `opensquilla chat --ui plain` to require the stable renderer. See > [docs/tui.md](docs/tui.md) for terminal chat usage and > [docs/features/tui-frontend.md](docs/features/tui-frontend.md) for backend > details. Open the Web UI at <http://127.0.0.1:18791/control/>. The **Health** view shows whether OpenSquilla is ready, what is not ready, and the next recovery steps. From the CLI, run: ```sh opensquilla doctor opensquilla doctor --json opensquilla doctor --config ./opensquilla.toml --json ``` `/health` and `/healthz` are lightweight liveness endpoints for process checks. `opensquilla doctor` and the Web UI Health view are the readiness surfaces for provider config, memory, logs, search, channels, sandbox posture, router, image generation, and recovery guidance. Press `Ctrl+C` to stop a foreground gateway. Other command groups include `sessions`, `skills`, `memory`, `migrate`, `cron`, `channels`, `providers`, `models`, and `cost`. Run `opensquilla --help` or `opensquilla <group> --help` for details. <details> <summary>Advanced configuration — verify a channel, public network binding, Docker</summary> **Connect and verify a messaging channel** Channel saves are config changes, not runtime-connectivity proof. Restart the gateway after channel edits, then verify the live channel: ```sh opensquilla gateway restart opensquilla channels status <name> --json ``` Treat a channel as connected only when the status payload reports `enabled=true`, `configured=true`, and `connected=true`. Feishu defaults to websocket mode, Telegram to polling, and Slack can use Socket Mode — none of those modes needs a public URL. Feishu webhook mode, Telegram webhook mode, Slack webhook mode, and WeCom require a public, provider-reachable URL. **Public network binding** To reach the Web UI from another machine, bind the gateway to all interfaces and use the host's public IP: ```sh opensquilla gateway run --listen 0.0.0.0 --port 18791 ``` Public access also requires the host firewall or cloud security group to allow inbound TCP on that port. Do not expose the gateway with `[auth] mode = "none"` — configure token auth before binding to `0.0.0.0`. **Docker** Prebuilt multi-arch images (`amd64`/`arm64`) are published to `ghcr.io/tokenrhythm/opensquilla` on release tags. 0.5.6 is published as both `v0.5.6` and the moving `latest` tag — [`docs/docker.md`](docs/docker.md) is the full container guide (home servers and NAS, LAN exposure with token auth, upgrades): ```sh OPENSQUILLA_GATEWAY_IMAGE=ghcr.io/tokenrhythm/opensquilla:latest docker compose up -d ``` Without `OPENSQUILLA_GATEWAY_IMAGE`, the compose path runs an `opensquilla:local` image you build yourself. Build it from a source checkout with the Git LFS router assets pulled (see [Install from source](#install-from-source) for the clone and `git lfs pull`): ```sh docker build -t opensquilla:local . ``` `./start.sh` (or `start.ps1` on Windows) then runs `docker compose up -d` and tails the gateway logs. Docker avoids a host Python toolchain — not the local image build. </details> Provider tiers, sandbox tuning, image generation, and concurrency settings live in `opensquilla.toml.example`. --- ## Release Notes Per-version highlights live in [`CHANGELOG.md`](CHANGELOG.md) and [`docs/releases/`](docs/releases/). --- ## Key Features | Capability | What it does | | --- | --- | | **Token-efficient routing** | `SquillaRouter` — a local LightGBM + ONNX classifier in the `recommended` extra — scores each turn on length, language, code, keywords, and semantic embeddings, then routes it across four tiers (C0–C3; legacy T0–T3 names are aliases) to the cheapest capable model. Classification runs on-device; your prompt never leaves the machine to make that decision. | | **Adaptive reasoning and prompts** | OpenSquilla requests extended reasoning only for turns the router scores as complex, and the system prompt scales with task complexity — lightweight for trivial turns, full instructions for complex ones. | | **20+ LLM providers** | The provider registry targets 20+ LLM backends — TokenRhythm, OpenRouter, OpenAI, Anthropic, Ollama, DeepSeek, Gemini, DashScope/Qwen, Moonshot, Mistral, Groq, Zhipu, SiliconFlow, vLLM, LM Studio, and more, with primary-plus-fallback selection; first-run onboarding exposes the verified subset. | | **On-demand skills and MCP** | 15 bundled skills (coding, GitHub, cron, pptx/docx/xlsx/pdf, summarization, tmux, weather, and more) load only when the task needs them. The current source includes MCP client and server support; see [MCP setup](docs/mcp-server.md#requirements) for SDK 2.x installation, then run `opensquilla mcp-server run` to expose session workflows to another MCP client. Skills can be authored, installed, and published from the CLI. | | **Persistent local memory** | A curated `MEMORY.md` plus dated Markdown notes, searched with SQLite full-text keyword search and `sqlite-vec` semantic recall. Embeddings run on-device via bundled ONNX, or swap to OpenAI/Ollama. Optional exponential decay and opt-in "dream" consolidation are available. | | **Layered security sandbox** | Three policy tiers (Standard / Strict / Locked) on a permission matrix. Bubblewrap isolates code execution on Linux; macOS runs commands through Seatbelt (`sandbox-exec`) with generated SBPL profiles; Windows uses the native `windows_default` backend after setup readiness checks. A denial ledger auto-pauses autonomous runs after repeated denials, rejected outputs are purged, and skill metadata and tool results are XML-escaped against prompt injection. | | **Built-in tools** | File read/write/edit, shell and background processes, git, web search (DuckDuckGo, Bocha, Brave, IQS, Tavily, or Exa) and fetch behind an SSRF guard, spreadsheet/PPTX/PDF authoring, image generation, and text-to-speech. | | **Unified gateway** | A Starlette ASGI server on `127.0.0.1:18791` with WebSocket RPC and an embedded control console (`/control/`). Web UI, CLI, and channels for Terminal, WebSocket, Slack, Telegram, Discord, Feishu, DingTalk, WeCom, Matrix, and QQ all share one `TurnRunner`. | | **Durable sessions, subagents, and scheduling** | SQLite-backed session, transcript, and replay storage with per-agent workspaces. Agents spawn depth-bounded subagents, and a `SchedulerEngine` with an in-tree cron parser runs recurring jobs via `opensquilla cron`. | | **Operator controls** | Human-in-the-loop approvals can pause sensitive tool calls for a decision; per-turn and per-session token and cost rollups (`opensquilla cost`) and diagnostics are available from the CLI and Web UI. | --- ## Benchmark Results Results from our [technical report](https://aixiv.science/abs/aixiv.260822.000001). Scores come from each benchmark's own grader, and costs use one provider price list across all frameworks. An OpenSquilla row is either a forced single-model run — the full harness with routing disabled, which isolates the harness contribution — or a multi-tier routing pool. ### PinchBench 25 tasks covering file operations, data processing, web retrieval, creative output, tool use, and memory recall. Score is the cross-task mean; cost is the total for the run. | Framework | Model (pool) | Score | Cost | | --- | --- | ---: | ---: | | OpenClaw | Opus-4.7 | 92.55 | $6.23 | | OpenClaw | GLM-5.1 | 88.33 | $1.60 | | OpenClaw | OpenRouter Auto | 88.10 | $3.01 | | Hermes Agent | Opus-4.7 | 92.65 | $6.66 | | OpenSquilla | Opus-4.7 | 93.85 | $4.84 | | OpenSquilla | {DeepSeek-V4 Flash, DeepSeek-V4 Flash, GLM-5.1, Opus-4.7} | 92.51 | $0.69 | | OpenSquilla | {MiniMax M2.5 (free), DeepSeek-V4 Flash, DeepSeek-V4 Flash, GLM-5.1} | 90.48 | $0.13 | Forced single-model OpenSquilla takes the top score, +1.3 over OpenClaw's Opus-4.7 run at 22% lower cost. The Opus-4.7-backstopped routing pool holds 99.96% of the 92.55 baseline score at $0.69. The OpenRouter Auto row is a query-level routing baseline measured under a separate protocol and is not directly comparable to the other rows. ### ClawMark 100 domain-specific business tasks across 13 domains, from clinical assistance and content operations to legal, HR, insurance, and real estate. Cost is average billed cost per task. | Framework | Model (pool) | Score | Cost per task | | --- | --- | ---: | ---: | | OpenClaw | GLM-5.1 | 71.2 | $0.62 | | OpenSquilla | GLM-5.1 | 77.0 | $0.87 | | OpenSquilla | {MiniMax M2.5 (free), DeepSeek-V4 Pro, GLM-5.1, GLM-5.1} | 70.6 | $0.39 | The harness alone adds 5.8 points to the same model, at higher cost — this is the one benchmark where the quality point sits above the baseline on price. The routing pool trades the gain back for a 37% cheaper task, landing near the GLM-5.1 direct run. ### ClawSWEBench 350 multilingual SWE-bench-style repair tasks from 8 languages and 43 repositories, with the task set, containers, prompts, turn limits, and timeouts all fixed. Cost is average billed cost per task. | Framework | Model (pool) | Resolve rate | Cost per task | | --- | --- | ---: | ---: | | OpenClaw | Opus-4.7 | 77.1% | $3.09 | | OpenClaw | GLM-5.2 | 74.3% | $0.87 | | OpenClaw | GLM-5.1 | 73.4% | $0.79 | | OpenClaw | Qwen3.7-Max | 73.1% | $1.25 | | OpenSquilla | GLM-5.2 | 79.4% | $0.95 | | OpenSquilla | GLM-5.1 | 74.9% | $0.87 | | OpenSquilla | {DeepSeek-V4 Flash, GLM-5.1, GLM-5.2} | 74.0% | $0.44 | Forced single-model GLM-5.2 resolves the most tasks: +5.1 points over OpenClaw's direct GLM-5.2 run, and ahead of OpenClaw's strongest single model at about 31% of its cost. The routing pool matches OpenClaw's GLM-5.2 run at half the cost, delegating 207 of the 350 tasks (59%) to the inexpensive DeepSeek-V4 Flash tier and escalating 139 to the top tier. ### DRACO 100 cross-domain deep-research tasks, graded on factual accuracy, completeness, objectivity, presentation quality, and citation quality. Cost is average billed cost per task; tokens are input plus output, in thousands. | Framework | Model (pool) | Score | Cost per task | Tokens (K) | | --- | --- | ---: | ---: | ---: | | OpenClaw | Opus-4.8 | 52.13 | $1.1420 | 54.2 | | OpenSquilla | Opus-4.8 | 52.36 | $0.6559 | 103.5 | | OpenSquilla | {DeepSeek-V4 Pro, GLM-5.2, Opus-4.8} | 52.33 | $0.3729 | 108.6 | The harness alone edges past OpenClaw's direct run while nearly halving cost; turning routing on keeps 99.94% of that score at 67% below the OpenClaw run. The routed run spends more tokens than the fixed one, so the saving comes from the price mix of the calls rather than from shorter prompts. ### Multi-model ensemble routing The high-accuracy mode drafts with several proposer models and fuses the drafts with an aggregator. Every row runs in the same OpenSquilla harness over DRACO, so the execution substrate is fixed and only the model allocation changes. | Search | Method | Score | Cost per task | Tokens (K) | | --- | --- | ---: | ---: | ---: | | DuckDuckGo | Fable 5 | 59.80 | $1.2122 | 93.7 | | DuckDuckGo | Opus-4.8 | 52.36 | $0.6559 | 103.5 | | DuckDuckGo | DeepSeek-V4 Pro | 50.32 | $0.1320 | 83.4 | | DuckDuckGo | GPT-5.5 | 50.22 | $0.4505 | 81.9 | | DuckDuckGo | Qwen3.7-Max | 49.34 | $0.0432 | 99.5 | | DuckDuckGo | GLM-5.2 | 48.28 | $0.1214 | 116.8 | | DuckDuckGo | Kimi K2.7 Code | 45.48 | $0.0676 | 86.3 | | DuckDuckGo | Gemini-3 Flash | 40.79 | $0.0117 | 9.5 | | DuckDuckGo | Multi-model ensemble routing (ours) | 60.82 | $0.3766 | 579.7 | | Brave | Fable 5 | 62.06 | $1.3241 | 106.7 | | Brave | Opus-4.8 | 59.11 | $1.6177 | 257.7 | | Brave | GPT-5.5 | 53.28 | $0.8407 | 189.4 | | Brave | Multi-model ensemble routing (ours) | 64.09 | $0.1218 | 500.1 | The ensemble outscores the strongest single model on both search providers: +1.02 points at 31% of its cost under DuckDuckGo, and +2.03 points at 90.8% lower cost under Brave. Fable 5 completed 94 of the 100 tasks under DuckDuckGo and 93 under Brave, and is scored on the tasks it completed; every other row completed all 100. Letting the router assemble the proposer set at run time, with only the aggregator fixed, comes within 0.51 points of the hand-picked configuration at 15.8% lower cost. The quality is paid for in tokens and wall-clock time, which parallel proposer execution, early stopping, and per-proposer budgets control. --- ## Troubleshooting <details> <summary>macOS desktop app keeps bouncing or reports AppTranslocation</summary> If macOS starts OpenSquilla from a temporary AppTranslocation path, quit OpenSquilla, drag the app into Applications if you are installing it, eject the DMG, then open OpenSquilla again. If an old OpenSquilla icon is still bouncing, force quit the old process first and reopen OpenSquilla. </details> <details> <summary>macOS: <code>Library not loaded: @rpath/libomp.dylib</code></summary> If startup logs `Library not loaded: @rpath/libomp.dylib` from `lightgbm/lib/lib_lightgbm.dylib`, OpenSquilla keeps running with direct single-model routing, but the bundled `SquillaRouter` runtime stays inactive until the macOS OpenMP runtime is installed. The desktop app bundles the native runtime it needs. If you used Quick terminal install or source install from a shell, install `libomp` with Homebrew and restart the gateway: ```sh brew install libomp opensquilla gateway restart ``` </details> <details> <summary>Windows: <code>DLL load failed</code> / Visual C++ runtime</summary> If startup logs `DLL load failed while importing onnxruntime_pybind11_state`, OpenSquilla keeps running with direct single-model routing, but the bundled `SquillaRouter` runtime stays inactive until the Visual C++ Redistributable for Visual Studio 2015–2022 (x64) is installed. The from-source PowerShell installer attempts to install the redistributable via `winget`. If you used Quick terminal install, or `winget` is unavailable, install it manually and restart PowerShell: <https://aka.ms/vs/17/release/vc_redist.x64.exe>. Then restore the recommended router: ```powershell opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY --router recommended opensquilla gateway restart ``` </details> --- ## Credits OpenSquilla is inspired by [OpenClaw](https://github.com/openclaw/openclaw). Bundled third-party content is attributed in [`THIRD_PARTY_NOTICES.md`](THIRD_PARTY_NOTICES.md). Community contributors are acknowledged in [`CONTRIBUTORS.md`](CONTRIBUTORS.md), including release-specific attribution notes for squash-merged or replayed work. --- ## Contributors Thanks to all the people who contribute to OpenSquilla. <a href="https://github.com/TokenRhythm/opensquilla/graphs/contributors"> <img src="https://contrib.rocks/image?repo=TokenRhythm/opensquilla&max=100&columns=10" alt="OpenSquilla contributors" /> </a> --- ## Contributing Contributions of every kind are welcome — bug reports, feature ideas, documentation, new provider or channel adapters, skills, and core runtime work. See [`CONTRIBUTING.md`](CONTRIBUTING.md), then open an issue or pull request on [GitHub](https://github.com/TokenRhythm/opensquilla). [Code of Conduct](CODE_OF_CONDUCT.md) · [Security](SECURITY.md) · [Privacy](PRIVACY.md) · [Code signing policy](docs/code-signing-policy.md) · [Third-party notices](THIRD_PARTY_NOTICES.md) · [Support](SUPPORT.md) · [License](LICENSE) (Apache-2.0) --- ## Citation If you use OpenSquilla in your research, please cite our technical report: ```bibtex @misc{opensquilla2026, title = {OpenSquilla: Token-Efficient Agent = Models + Routing Harness}, author = {{TokenRhythm Technologies}}, year = {2026}, month = aug, eprint = {aixiv.260822.000001}, archivePrefix = {aiXiv}, howpublished = {aiXiv preprint}, url = {https://aixiv.science/abs/aixiv.260822.000001}, note = {Version 1.0, under review} } ```

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