AutoGen: Multi-Agent Framework (Now Community-Maintained)
AutoGen is an open-source framework for building multi-agent AI applications. Microsoft Research pioneered it, and it was one of the first frameworks to make agent-to-agent conversation a first-class pattern. As of 2026, AutoGen is in maintenance mode and community-managed. Microsoft now recommends the newer Microsoft Agent Framework for new production work.
Important status note (May 2026)
AutoGen is no longer receiving new features from Microsoft. The project is community-managed. Microsoft's recommended path for new agent work is the Microsoft Agent Framework. If you have an existing AutoGen project, it still works. If you are starting fresh, evaluate alternatives first.
The 30-second version
- What: open-source multi-agent framework with code execution and conversational agents
- Who: teams already using AutoGen, or learners studying multi-agent patterns
- Price: free (MIT license)
- Best at: agent-to-agent conversation with code execution
- Verdict: good to know, but for new 2026 projects look at CrewAI, LangChain, or Microsoft Agent Framework first
What AutoGen actually is
AutoGen is a Python framework for building applications where multiple AI agents talk to each other. The classic pattern: a user-proxy agent kicks off the conversation, an assistant agent responds, and the two can pass code, tool calls, and intermediate results back and forth until the task is done.
The thing that set AutoGen apart in 2023-2024 was native code execution. Agents could write Python, run it in a sandbox, see the output, and adjust. That capability is still strong in 2026 but has been matched or extended by Claude Computer Use, OpenAI Code Interpreter, and the broader browser-agent category.
Per the Microsoft AutoGen GitHub repo, the framework is now in maintenance mode. Latest release is version 0.7.5 (September 30, 2025).
Key capabilities
- Multi-agent conversation primitives (assistant + user-proxy patterns)
- Native code execution in a sandbox
- Three API layers: Core, AgentChat, Extensions
- AutoGen Studio for no-code GUI agent building
- AutoGen Bench for benchmarking
- Open source under MIT (code) and CC-BY-4.0 (docs)
Pricing
AutoGen is free under the MIT license. You pay for the LLM API calls and any infrastructure you run the agents on. No first-party paid product.
Verified May 2026. Check the latest at github.com/microsoft/autogen.
Who AutoGen fits
- Teams with existing AutoGen production deployments (no need to migrate urgently)
- Researchers studying multi-agent conversation patterns
- Developers building code-heavy agent workflows who want the proven sandbox
Who AutoGen does not fit
- New projects in 2026 that need active framework support (use CrewAI, LangChain, or Microsoft Agent Framework)
- Non-developers (Python only; AutoGen Studio helps but is still developer-leaning)
- Production systems that want a vendor-backed roadmap
AutoGen vs CrewAI and Microsoft Agent Framework
| Axis | AutoGen | CrewAI | MS Agent Framework |
|---|---|---|---|
| Status | Maintenance mode | Active development | Active, Microsoft-backed |
| Primary metaphor | Conversational agents | Role-based teams | .NET + Python agents |
| Code execution | Built-in (strongest) | Via custom tools | Yes |
| Multi-agent native | Yes (core) | Yes (core) | Yes |
| Best for | Existing projects, research | New role-based work | Enterprise + Azure stacks |
Full breakdown of the two most active alternatives: AutoGen vs CrewAI.
Pros and cons
Pros:
- Battle-tested code execution sandbox
- Clean abstraction for agent-to-agent conversation
- Open source, no vendor lock-in
Cons:
- In maintenance mode; no new features from Microsoft
- Migration story to Microsoft Agent Framework still unclear in early 2026
- Smaller community than LangChain or CrewAI
How I'd use AutoGen on SellerShorts
I tested AutoGen in 2024 for a code-generation agent that wrote SQL queries against our analytics data. The conversational pattern worked well and the sandbox saved time. In 2026, I would not start a new project on AutoGen given the maintenance status. The agent I built still runs because it works, but the next one will use CrewAI or LangChain.
Try AutoGen
Get AutoGen on GitHub
Still useful for research and existing projects. For new builds in 2026, evaluate alternatives first.
Building agents for Amazon? See the Amazon AI hub for sector-specific picks.
Frequently asked questions
Is AutoGen still maintained?
AutoGen is in maintenance mode and community-managed as of 2026. Microsoft Research pioneered it but no longer adds new features. Microsoft now recommends the Microsoft Agent Framework for new production work. Existing AutoGen projects still run, but plan a migration if you start fresh today.
AutoGen vs CrewAI: which should I pick?
Both do multi-agent. AutoGen leans into open-ended agent conversations and code execution. CrewAI is laser-focused on role-based task delegation. For new projects in 2026, CrewAI is more actively developed and has clearer abstractions. AutoGen still has the deepest code-execution support.
What is AutoGen Studio?
AutoGen Studio is a no-code GUI for building AutoGen agents. It runs on top of the framework and lets non-developers compose agent teams. It is the easiest way to try AutoGen without writing Python.
Should I migrate from AutoGen to something else?
Not immediately. AutoGen 0.7.x is stable and runs in production. If your project is working, no need to rush. If you start a new agent project in 2026, evaluate Microsoft Agent Framework, CrewAI, or LangChain first.