fastagency
Take multi-agent AutoGen workflows to production, fast.
ag2 — проект с открытым исходным кодом из категории «ИИ-агенты» от ag2ai (ag2ai/ag2 на GitHub). У него 4 983 звезды на GitHub и 739 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 8 октября 2026.
The open-source AgentOS, formerly known as AutoGen.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Agents converse and collaborate.
An operating layer for agents.
People can join the conversation.
Born at Microsoft Research.
Discord and ongoing development.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/ag2ai/ag2.git
cd ag2Create a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at ag2ai/ag2 and has attracted 739 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
AG2 shines when tasks decompose across cooperating agents. For a single focused agent, a lighter framework may be simpler - reach for AG2 when collaboration is the point.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Take multi-agent AutoGen workflows to production, fast.
A programming framework for agentic AI
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Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
A memory operating system for long-term, personalized AI agents.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если ag2 вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
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Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
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DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к ag2 — продолжайте изучать полку по обе стороны от него.
Exa's MCP server for web search and crawling — give your AI agent a live, high-quality web index.
The unofficial Home Assistant MCP server — control and automate your smart home from any AI assistant.
Talk to your computer — an open-source voice interface.
Build production-ready agentic workflows from natural language — agents that operate browsers and computers.
An open agent framework with a native terminal TUI, ReAct and Agent Team modes — one command to run.
Examples and integrations for Zep — the memory layer for AI agents.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.