AI Skill Hub 强烈推荐:OpenSquilla智能代理框架 是一款优质的AI工具。已获得 1.0k 颗 GitHub Star,AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的AI工具解决方案,这是一个值得深入了解的选择。
OpenSquilla智能代理框架 是一款基于 Python 开发的开源工具,专注于 MCP协议、AI代理、Token优化 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
OpenSquilla智能代理框架 是一款基于 Python 开发的开源工具,专注于 MCP协议、AI代理、Token优化 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:pip 安装(推荐)
pip install opensquilla
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install opensquilla
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/opensquilla/opensquilla
cd opensquilla
pip install -e .
# 验证安装
python -c "import opensquilla; print('安装成功')"
# 命令行使用
opensquilla --help
# 基本用法
opensquilla input_file -o output_file
# Python 代码中调用
import opensquilla
# 示例
result = opensquilla.process("input")
print(result)
# opensquilla 配置文件示例(config.yml) app: name: "opensquilla" debug: false log_level: "INFO" # 运行时指定配置文件 opensquilla --config config.yml # 或通过环境变量配置 export OPENSQUILLA_API_KEY="your-key" export OPENSQUILLA_OUTPUT_DIR="./output"
<p align="center"> <img src="assets/opensquilla-long-logo.png" alt="OpenSquilla logo" width="500"> </p>
<p align="center"> <b>Same budget, more capability, better results.</b><br> A microkernel AI agent for your CLI, Web UI, and chat channels. </p>
<p align="center"> <a href="https://github.com/opensquilla/opensquilla/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/opensquilla/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/opensquilla/opensquilla/releases"><img src="https://img.shields.io/github/v/release/opensquilla/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> </p>
<p align="center"> <b>English</b> · <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> </p>
---
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 OpenRouter, OpenAI, Anthropic, Ollama, DeepSeek, Gemini, Qwen/DashScope, and 20+ other LLM providers with no change to your code or config schema.
OpenSquilla 0.4.1 is the current release.
For task-oriented product documentation, start with the OpenSquilla Product Guide or the documentation index.
---
OpenSquilla 0.4.1 is a maintenance release for the desktop and Control UI line:
- Desktop reliability - packaged gateway checks now cover Coding mode, code-task, and SquillaRouter startup, and desktop window/artifact handling is more stable. - Six-language client support - the Control UI and desktop client support English, Simplified Chinese, Japanese, French, German, and Spanish across first-paint and settings surfaces. - Coding mode and router packaging - desktop builds fail fast if router assets are missing or still Git LFS pointers, preventing degraded release packages. - Telemetry and Windows polish - install telemetry skips CI and test environments, and Windows desktop assets use the OpenSquilla logo. - Mainline governance - ordinary pull requests and release integration are aligned around main, with maintainer branches reserved for release, hotfix, staging, integration, and sandbox work.
Full notes: CHANGELOG.md · docs/releases/0.4.1.md.
OpenSquilla 0.2.1 is a maintenance release focused on release-package startup and long-running agent reliability:
- Windows portable startup — the portable launcher better detects and bootstraps the Visual C++ runtime needed by the bundled ONNX router. - Long-running agent turns — tool-heavy WebUI sessions recover more cleanly from oversized tool results, malformed tool calls, artifact delivery handoffs, and degraded final responses. - Cleaner WebUI output — generated artifact markers are kept out of normal chat replay while delivered files remain visible. - Memory recall scoring — local and OpenAI-compatible embedding vectors are normalized before semantic search, and strong keyword matches remain usable when vector scores are low.
Full notes: CHANGELOG.md · release notes.
This release expands OpenSquilla across migration, CLI chat, channels, scheduling, and long-running tool work:
- Migration path from existing agent homes — opensquilla migrate previews and applies imports from existing OpenClaw/Hermes homes, including memory, persona files, skills, MCP/channel config, conflict handling, and migration reports. - Usable chat CLI — opensquilla chat has a stable terminal UI, streaming output, queued input, slash-mode discovery, tool/status strips, and more deterministic live prompt behavior. - Cross-surface cron automation — cron jobs now cover structured schedules, timezone-aware exact/every/cron runs, channel or webhook delivery, failure destinations, manual runs, and WebUI/CLI/RPC parity. - Better Feishu and Discord channels — channel adapters expose clearer capability metadata, safer DM/group handling, native file and artifact paths, and improved attachment/thread behavior while privileged actions stay scoped. - Sturdier long-running turns — failed turns are kept out of provider replay, malformed tool calls are handled more safely, and approval-gated retries wait for operator decisions. - Smarter context and tool budgeting — provider-budget compaction, prompt cache preservation, bounded tool results, and side-effect-aware concurrency make large tool-heavy sessions more predictable. - Web UI and release polish — recency ordering, table layout, mobile controls, duplicate notifications, setup forms, release URLs, and install paths are tightened for 0.2.0.
Full notes: CHANGELOG.md · release notes.
---
| 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 — 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. OpenSquilla is an MCP client, and can also run as an MCP server — opensquilla mcp-server run needs the mcp extra (install opensquilla[recommended,mcp]). 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, 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. |
MetaSkill docs: docs/features/meta-skills.md, docs/features/meta-skill-user-guide.md, and docs/authoring/meta-skills.md.
---
| Requirement | Windows portable | Quick terminal install | Install from source | Develop from source |
|---|---|---|---|---|
| Python 3.12+ | bundled | via uv | via uv or system | via uv |
| Git + Git LFS | — | — | required | required |
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 Windows portable launcher and the from-source PowerShell installer install 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). 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 signed 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.
OpenSquilla runs on Windows, macOS, and Linux. Pick the path that matches your use case.
Desktop installers, Windows portable, 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).
Release install commands use published GitHub release assets. The Windows portable zip also has a /releases/latest/download/ alias for the current release. Python wheel installs use versioned wheel filenames because installers validate the version embedded in the wheel filename.
For 0.4.1 desktop use, prefer the signed desktop installers from the GitHub Release: OpenSquilla-0.4.1-mac-arm64.dmg on macOS and OpenSquilla-0.4.1-win-x64.exe on Windows. The Windows portable zip remains available as a legacy compatibility package for scripts and portable-folder workflows.
| Path | Audience | When to use |
|---|---|---|
| [Desktop installers](#desktop-installers) **(recommended desktop)** | macOS and Windows users | Signed packaged desktop app |
| [Windows portable](#windows-portable-no-python) | Windows users | Legacy compatibility; no Python toolchain; one-zip launch |
| [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 |
The 0.4.1 desktop installers package the Vue control console and gateway runtime in an Electron shell.
Quit any running OpenSquilla desktop app before upgrading. Existing ~/.opensquilla/config.toml and session data are reused.
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.
1. Install uv — skip if uv --version already works.
Linux / macOS:
curl -LsSf https://astral.sh/uv/install.sh | sh
. "$HOME/.local/bin/env"
Windows 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.
uv tool install --python 3.12 "opensquilla[recommended] @ https://github.com/opensquilla/opensquilla/releases/download/v0.4.1/opensquilla-0.4.1-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 if the router runtime reports a native-library load error.
3. Configure and run.
opensquilla onboard
opensquilla gateway run
[!NOTE] Ifopensquillais not found right after a freshuvinstall, 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/opensquilla/opensquilla/releases/download/v0.4.1/opensquilla-0.4.1-py3-none-any.whl.
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 instead if you intend to modify the code.
git lfs install
git clone https://github.com/opensquilla/opensquilla.git
cd opensquilla
git lfs pull --include="src/opensquilla/squilla_router/models/**"
macOS / Linux
bash scripts/install_source.sh
Windows 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, falling back to python -m pip install --user when uv is unavailable. Open a new terminal if opensquilla is not on PATH after install.
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
OPENSQUILLA_INSTALL_EXTRAS=matrix bash scripts/install_source.sh # macOS / Linux
powershell -ExecutionPolicy Bypass -File ./scripts/install_source.ps1 -Extras matrix # Windows
<details> <summary>Install from source — terminal prerequisites and installer options</summary>
Install prerequisites (Git, Git LFS, uv) from a terminal
Windows PowerShell:
winget install --id Git.Git -e
winget install --id GitHub.GitLFS -e
powershell -ExecutionPolicy Bypass -c "irm https://astral.sh/uv/install.ps1 | iex"
git lfs install
macOS (Homebrew):
brew install git git-lfs uv
git lfs install
Debian / Ubuntu:
sudo apt update && sudo apt install -y git git-lfs
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; then install uv with the curl command above. PATH changes from these installers apply to new terminal sessions.
Installer environment variables and PATH checks
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>
Remove OpenSquilla with opensquilla uninstall. It keeps your data by default and removes only the program:
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:
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. See docs/cli.md for the full reference.
---
OpenSquilla uses anonymous installation telemetry to estimate install counts, version adoption, and runtime compatibility. Data is sent on first gateway startup and once per OpenSquilla version. Uploads use a short timeout and never block startup.
What is sent:
- schema version - locally generated stable install_id digest - OpenSquilla version - event type (install or version_seen) - install method (pip, source, docker, desktop, or unknown) - operating system, OS version, CPU architecture, and Python major/minor version - first-seen and sent timestamps - CI/test-environment marker (ci_environment)
The install_id is a local one-way SHA-256 digest derived from usable MAC addresses, then local IP addresses when no MAC is available, with a random persisted fallback. Raw MAC/IP values are not uploaded.
What is not sent: usernames, hostnames, paths, API keys, provider config, chat/session/memory/agent content, file names, or file contents. Source IP may be visible to HTTP servers at the transport layer, but is not part of the payload.
To opt out:
OPENSQUILLA_TELEMETRY_DISABLED=true
Advanced deployments can use their own endpoint:
OPENSQUILLA_TELEMETRY_ENDPOINT=https://example.com/v1/install
---
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.
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
export OPENROUTER_API_KEY="sk-..."
opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY
Windows 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):
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.
<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 signed 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:
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 Windows portable launcher and the from-source PowerShell installer attempt 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:
opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY --router recommended
opensquilla gateway restart
</details>
---
OpenSquilla以Token优化见长的MCP代理框架,架构清晰、社区活跃。Token效率提升方案实用,适合成本敏感型应用,但文档深度有待加强。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
总体来看,OpenSquilla智能代理框架 是一款质量优秀的AI工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | opensquilla |
| 原始描述 | 开源MCP工具:OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence den。⭐1.0k · Python |
| Topics | MCP协议AI代理Token优化深度学习基础模型 |
| GitHub | https://github.com/opensquilla/opensquilla |
| License | Apache-2.0 |
| 语言 | Python |
收录时间:2026-05-18 · 更新时间:2026-05-19 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。