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Reviewed · Updated 2026-06-16

Autogen

Generative AI platform for creating autonomous agents and automating workflows.

Reviewed by the Conversion Gems editorial team ·
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Pricing
Free
Best for
Developers
Category
AI Agent Builders
The bottom line

A leading, free multi-agent framework that is great for prototypes - but now in maintenance mode, so plan for its successor on long-lived projects.

7.1
Our score
7.1 / 10
Conversion Gems editorial verdict
Free (MIT, open-source)
Features8/10
8 - async multi-agent orchestration, AgentChat, Studio, MCP and human-in-the-loop.
Value9/10
9 - free MIT; you pay only for LLM calls.
Ease of use5/10
5 - penalized: a developer framework needing API keys and code.
Ecosystem7/10
7 - large community and model-agnostic, but transitioning to a successor.
Support4/10
4 - penalized: maintenance mode, community-managed.
What it really is

Microsoft Research's open-source framework for building multi-agent AI systems, where LLM agents converse, delegate and loop in humans to solve tasks.

Our take

It pioneered chat-centric, asynchronous multi-agent orchestration and remains one of the fastest paths from an API key to a working agent team, with AutoGen Studio for low-code prototyping. The big 2026 caveat: it is now in maintenance mode (bug fixes only), with Microsoft steering new work to the Microsoft Agent Framework - so build with a migration plan.

Best for
Developers prototyping multi-agent LLM systems
Researchers exploring agent collaboration patterns
Small AI teams wanting a fast path to a working proof-of-concept
Not good for
New production projects needing long-term feature support (it is in maintenance mode)
Non-developers wanting a finished app
Enterprises with strict SLAs (evaluate the Microsoft Agent Framework instead)
Friction report
Time to value
Developer setup: pip install, add an LLM API key, and use AgentChat or AutoGen Studio; you pay only for the LLM calls.
Scale breakpoint
Maintenance mode means no new features, so production builds should plan to migrate to the Microsoft Agent Framework; reliability still depends on prompt and tool design.
Walled garden
Low lock-in - MIT, model-agnostic (OpenAI, Claude, Azure), with an MCP-based migration path.

Frequently Asked Questions

Alternatives

Step up

Microsoft Agent Framework - the enterprise-ready successor with long-term support.

Lighter alternative

CrewAI - simpler, structured multi-agent teams with fast time-to-production.

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Tags

#AIAgents#AIWorkflowAutomation#AgentFramework

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