AIエージェント
Unla
Unla MCP Gateway: turn existing APIs and MCP servers into MCP endpoints with zero code changes.
★ 2.2k スターMIT
ガイドを見る →composioは、ComposioHQが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: ComposioHQ/composio）。GitHubスターは30,467、フォークは4,847で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
Over a thousand tool integrations so agents can turn intent into action.
Start with one concrete task rather than a grand architecture.
Clone the repo and check the examples folder for a quickstart.
Install packages, set environment variables, and point it at your model.
Execute the demo workflow, then adapt it to your own data.
Broad coverage of apps and APIs.
Agents discover the right tool at runtime.
Handles OAuth and credentials for integrations.
A safe place for agents to execute.
Fits JS/TS agent stacks.
Free for commercial products.
Download the source and move into the project folder.
git clone https://github.com/ComposioHQ/composio.git
cd composioPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildComposioHQ/composio is its home on GitHub, with 4847 forks so far. The contributors tab and recent commits show how actively it is maintained.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
The open-source core is free; hosted plans or premium connectors may cost money - check the pricing page.
MCP servers are a standard protocol for tools; Composio is a managed platform with auth, search, and 1000+ ready integrations. Use MCP for open standards, Composio for breadth with less plumbing.
Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.
Unla MCP Gateway: turn existing APIs and MCP servers into MCP endpoints with zero code changes.
Microsoft's GUI agent that grew into UFO³ — orchestrating agents across Windows, Linux and mobile devices.
SEO, GEO, and marketing skills your agents can use.
Living architecture documentation that both your team and AI agents can read.
Turn papers, text, or topics into editable research figures and slides.
Chinese guide to building production-grade AI agents with LangChain and LangGraph.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — composioが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でcomposioとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
A lightweight, container-isolated personal AI agent for WhatsApp, Telegram, Slack and more
A Python simulation platform for robotics and embodied AI — fast physics, rendering and learning
The memory API that gives AI apps instant, lasting context.
The batteries-included agent harness from the LangChain team.
Real-time knowledge graphs that give agents a memory with structure.
An autonomous research agent that plans, searches and writes cited reports from any data source