Microsoft AutoGen

★ 61.5k

open-multi-agent

★ 7.0k

Microsoft AutoGen vs open-multi-agent

Q: Which is better, Microsoft AutoGen or open-multi-agent?

By GitHub stars, Microsoft AutoGen has more community adoption, but the best choice depends on your specific use case.

Microsoft AutoGen: AutoGen is a versatile framework for developing multi-agent AI applications that can operate autonomously or in collaboration with humans. It offers a layered, extensible design, including Core and AgentChat APIs, along with developer tools like AutoGen Studio for no-code GUI development and AutoGen Bench for performance evaluation.; open-multi-agent: OMA (Open Multi-Agent) is a self-hosted TypeScript runtime for single agents, task pipelines and goal-planned teams. Consequential actions pause for durable approvals bound to a hash of what the reviewer saw, and every run leaves a record that can be verified offline.

TL;DR

Microsoft AutoGenMulti-Agent · ★ 61.5k

When to choose:

You maintain an existing AutoGen v0.2 or v0.4 system, or want to run research artefacts built on it such as Magentic-One and AutoGen Bench.
You want to reference its layered event-driven architecture while planning a migration to Microsoft Agent Framework.

When to skip:

You are starting a brand-new project; Microsoft states AutoGen is in maintenance mode with no new features and recommends Microsoft Agent Framework.
You expect AutoGen Studio to be a turnkey production web app (the README notes Studio is for prototyping only).

Read Microsoft AutoGen full review →

open-multi-agentMulti-Agent · ★ 7.0k

Run agents that must get human sign-off before writing files or running shell

Read open-multi-agent full review →

Side-by-Side Comparison

Field

Microsoft AutoGen

open-multi-agent

Features

Microsoft AutoGen

01Framework for multi-agent AI applications

02Supports autonomous or human-collaborative agents

03Layered and extensible design (Core, AgentChat, Extensions APIs)

04No-code GUI for workflow prototyping (AutoGen Studio)

05Benchmarking suite for agent performance (AutoGen Bench)

open-multi-agent

01runAgent, runTasks and runTeam execution modes

02Durable approvals that survive restarts and fail closed on tampering

03Run records verifiable offline, byte for byte

04Works with hosted, local (Ollama, vLLM) and Chinese model providers

05No telemetry and no hosted control plane

Use Cases

Microsoft AutoGen

↳Developing multi-agent AI applications

↳Building specialized AI assistants (e.g., web browsing, domain experts)

↳Prototyping multi-agent workflows using a no-code GUI

open-multi-agent

↳Run agents that must get human sign-off before writing files or running shell

↳Build PR review or security analysis agents with audit trails

↳Embed a multi-agent team in an existing Node.js backend

Best For

Microsoft AutoGen

Most PopularEssentialTrending

open-multi-agent

EssentialTrending

FAQ

What is the difference between Microsoft AutoGen and open-multi-agent?

Both Microsoft AutoGen and open-multi-agent are in the Multi-Agent category. Microsoft AutoGen has 61.5k stars, while open-multi-agent has 7.0k stars.

Which is better, Microsoft AutoGen or open-multi-agent?

The best choice depends on your use case. Choose Microsoft AutoGen if Developing multi-agent AI applications, and open-multi-agent if Run agents that must get human sign-off before writing files or running shell.

Is Microsoft AutoGen free or open source?

Yes, Microsoft AutoGen is open source on GitHub (MIT).

Is open-multi-agent free or open source?

Yes, open-multi-agent is open source on GitHub (MIT).

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Alternatives to Microsoft AutoGen →Alternatives to open-multi-agent →Microsoft AutoGen details →open-multi-agent details →Microsoft AutoGen vs CrewAI →Microsoft AutoGen vs agent-framework →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

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