autogen

Python and .NET framework for multi-agent apps, now in maintenance mode

Stars: 61.4k
License: CC-BY-4.0
Last commit: Apr 2026
Last release: Sep 2025
Language: Python

Checked 13 Oct 2026 on GitHub.

Overview

AutoGen is a layered framework for building multi-agent applications: a Core API for event-driven message passing, an AgentChat API for two-agent and group-chat patterns, and an Extensions API for model clients, MCP tools and code execution. It also ships AutoGen Studio, a no-code prototyping UI on port 8080, and AgentBench. The project is in maintenance mode and community managed; Microsoft points new users to Microsoft Agent Framework.

Who it is for: Developers with existing AutoGen code or prototyping multi-agent apps in Python

Strengths

Layered design: Core, AgentChat and Extensions APIs let you pick the abstraction level
Core runtime supports local and distributed execution, with Python and .NET packages
MCP tool support through McpWorkbench, e.g. the Playwright MCP server
Includes AutoGen Studio for no-code prototyping and a benchmarking suite

Weaknesses

Maintenance mode: no new features, only bug fixes, security patches and docs
Maintainers recommend Microsoft Agent Framework for new projects
AutoGen Studio is explicitly not production-ready and has no built-in authentication
Support is community-only and response times may be slow

What it needs

no GPU
Needs Python 3.10+, OpenAI API key (for the quickstart samples), Node.js/npx (for the Playwright MCP example)
Models: OpenAI, Azure OpenAI
port 8080

Head to head

Also in Agent frameworks and SDKs

See all 4

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1	langchainPython framework for building LLM agents and apps from interoperable components147.8k starsMIT	88 out of 100
2	browser-usePython library that lets an LLM agent control a web browser Live demo ↗ (opens in a new tab)117.8k starsMIT	83 out of 100
3	metagptPython multi-agent framework that turns one-line requirements into a software repo Live demo ↗ (opens in a new tab)70.8k starsMIT	33 out of 100

How to choose

Pick by language first (Python or TypeScript), then by how much the framework hides.
Check how it handles tool errors and retries; that is where agents break in production.
Look for tracing hooks so you can see each step later.

Health

Releases: None in the last 12 monthsLast one 378 days ago
Top contributor: 100% of commits2 of 2 in the last 12 months
Security advisories: NoneOn GitHub, in the last 12 months
OpenSSF Scorecard: 5.5 out of 10 ↗ (opens in a new tab)Run by OpenSSF on 5 Oct 2026

Read from GitHub, deps.dev and OpenSSF on 13 Oct 2026. Bots and coding-agent accounts are left out of the commit counts. Not part of the score: how we check.

License in plain words

CC-BY-4.0 Custom terms

Use it at work: Check
Change it and rebrand it: Check
Sell it or host it for others: Check

Your part: GitHub could not match these terms to a standard license. Read the license before you use it at work, rebrand it or host it for others.

A plain summary, not legal advice. Read the license on GitHub ↗ (opens in a new tab)

For maintainers

Show this rank in your README. It updates twice a day.

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Best of Open-Source AI on GitHub

Each review comes from the project's README and facts we check on GitHub. The fix form opens with autogen filled in.