by microsoft · Agent Tool · ★ 57.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AutoGen AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans. Important: if you are new to AutoGen, please checkout Microsoft Agent Framework. AutoGen will still be maintained and continue to receive bug fixes and critical security patches. Read our announcement. Installation AutoGen requires Python 3.10 or later. The current stable version can be found in the [releases](htt
| Stars | 57,107 |
| Forks | 8,599 |
| Language | Python |
| Category | Agent Tool |
| License | CC-BY-4.0 |
| Quality Score | 46.146/100 |
| Open Issues | 769 |
| Last Updated | 2026-04-15 |
| Created | 2023-08-18 |
| Platforms | python |
| Est. Tokens | ~9640k |
Looking for a autogen alternative? If you're comparing autogen with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The agent engineering platform.
Build resilient agents.
Universal memory layer for AI Agents
A lightweight, powerful framework for multi-agent workflows
Open-source AI coworker, with memory
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the too
Explore other popular agent tool tools:
autogen is A programming framework for agentic AI. It is categorized as a Agent Tool with 57.1k GitHub stars.
autogen is primarily written in Python. It covers topics such as agentic, agentic-agi, agents.
You can find installation instructions and usage details in the autogen GitHub repository at github.com/microsoft/autogen. The project has 57.1k stars and 8599 forks, indicating an active community.
autogen is released under the CC-BY-4.0 license, making it free to use and modify according to the license terms.
The top alternatives to autogen on Agent Skills Hub include langchain, langgraph, mem0. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.