AutoGen
AutoGen is Microsoft's open-source framework for building multi-agent AI systems where agents converse with each other, use tools, and collaborate to solve complex tasks. It supports flexible conversation patterns and human-in-the-loop workflows, making it a research-backed choice for orchestrating agent teams.
Overview
"AutoGen" is a "Open Source" resource curated by AI Resource Hub, filed under the AI Agents category and suited to Intermediate-level learners. It is provided by Microsoft, was last updated on 2026-07-24, and holds an editorial score of 4.5/5 from our team. Click "Visit Resource" on the right to open the original page.
Our Verdict
AutoGen is the research-grade starting point for engineering teams building serious multi-agent systems. Its conversation patterns — planners, coders, and critics swapping messages — plus sandboxed code execution and human-in-the-loop hooks cover workflows most frameworks barely touch. The trade-off is a fast-moving API that can break older tutorials and a steeper learning curve than single-agent tools. Free, open source, and model-agnostic, it is worth the ramp-up if agent teamwork is core to your product.
Tags
Key Features
- ▹Multi-agent conversations with tool use
- ▹Human-in-the-loop and code-execution agents
- ▹Works with many model providers
Pros
- +Battle-tested patterns for agent teamwork
- +Backed by Microsoft Research
- +Strong multi-agent conversation patterns for complex workflows
Cons
- −API surface has evolved quickly across versions
- −Steeper learning curve than single-agent frameworks
- −Evolving API means older tutorials go stale quickly
FAQ
Details
- Pricing
- Free and open source
- Author
- Microsoft
- Editorial score
- ★ 4.5 / 5
- Last updated
- Jul 24, 2026