--- title: "autogen vs MM-REACT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-microsoft-mm-react" tools: ["microsoft-autogen", "microsoft-mm-react"] --- # autogen vs MM-REACT *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, MM-REACT is MIT; pick MM-REACT when license: MM-REACT is MIT, autogen is CC-BY-4.0. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [MM-REACT](https://multimodal-react.github.io/) has 967 stars, 67 forks, and 20 open issues, last pushed Jan 31, 2024. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [MM-REACT's repository](https://github.com/microsoft/MM-REACT). | | [autogen](/tools/microsoft-autogen.md) | [MM-REACT](/tools/microsoft-mm-react.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Official repo for MM-REACT | | Stars | 59,658 | 967 | | Forks | 8,983 | 67 | | Open issues | 945 | 20 | | Language | Python | Python | | Adopt for | AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. | - | | Persona | - | - | | Runtime | - | - | | License | CC-BY-4.0 | MIT | | Categories | AI Agents, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [MM-REACT](/tools/microsoft-mm-react.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 891d | | Open issues (now) | 945 | 20 | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/microsoft-mm-react/trust.md) | ## Decision facts: autogen - **Requirements:** Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure. - **Adopt for:** AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. ## Choose when ### Choose autogen if… - License: autogen is CC-BY-4.0, MM-REACT is MIT. - Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.. - Tags unique to autogen: agentic-agi, agents, ai, autogen. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose MM-REACT if… - License: MM-REACT is MIT, autogen is CC-BY-4.0. - Tags unique to MM-REACT: python. - Leaner open-issue backlog (20). ## When NOT to use autogen - If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. - When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. - You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ## When NOT to use MM-REACT - Last GitHub push was 892 days ago (dormant maintenance, Jan 31, 2024). Validate activity before betting a new project on MM-REACT. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between autogen and MM-REACT? autogen: A programming framework for agentic AI. MM-REACT: Official repo for MM-REACT. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over MM-REACT? Choose autogen over MM-REACT when License: autogen is CC-BY-4.0, MM-REACT is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I choose MM-REACT over autogen? Choose MM-REACT over autogen when License: MM-REACT is MIT, autogen is CC-BY-4.0; Tags unique to MM-REACT: python; Leaner open-issue backlog (20). ### When should I avoid autogen? If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ### When should I avoid MM-REACT? Last GitHub push was 892 days ago (dormant maintenance, Jan 31, 2024). Validate activity before betting a new project on MM-REACT. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or MM-REACT more popular on GitHub? autogen has more GitHub stars (59,658 vs 967). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and MM-REACT open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, MM-REACT: MIT). ### Where can I find alternatives to autogen or MM-REACT? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [MM-REACT alternatives](/tools/microsoft-mm-react/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [MM-REACT markdown twin](/tools/microsoft-mm-react/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/microsoft-autogen-vs-microsoft-mm-react.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or MM-REACT? autogen: Steady. MM-REACT: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for autogen and MM-REACT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [MM-REACT trust report](/tools/microsoft-mm-react/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-autogen`](/api/graphcanon/graph?tool=microsoft-autogen) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_