--- title: "MM-REACT vs ReAct" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-mm-react-vs-ysymyth-react" tools: ["microsoft-mm-react", "ysymyth-react"] --- # MM-REACT vs ReAct *GraphCanon updated Aug 17, 2026* ## Verdict Pick MM-REACT if mM-REACT is an AI agent framework built upon LangChain; pick ReAct if reAct enhances large language models by improving reasoning and executing actions through specific tasks using GPT-3. [MM-REACT](https://multimodal-react.github.io/) reports 967 GitHub stars, 66 forks, and 20 open issues, last pushed Jan 31, 2024. [ReAct](https://github.com/ysymyth/ReAct) has 4.1k stars, 396 forks, and 5 open issues, last pushed Feb 6, 2024. Figures are from public GitHub metadata via [MM-REACT's repository](https://github.com/microsoft/MM-REACT) and [ReAct's repository](https://github.com/ysymyth/ReAct). | | [MM-REACT](/tools/microsoft-mm-react.md) | [ReAct](/tools/ysymyth-react.md) | | --- | --- | --- | | Tagline | MM-REACT is an AI agent framework built upon langchain. | ReAct Prompting for decision-making with language models | | Stars | 967 | 4,109 | | Forks | 66 | 396 | | Open issues | 20 | 5 | | Language | Python | Jupyter Notebook | | Adopt for | MM-REACT is an AI agent framework built upon LangChain. | ReAct enhances large language models by improving reasoning and executing actions through specific tasks using GPT-3. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [MM-REACT](/tools/microsoft-mm-react.md) | [ReAct](/tools/ysymyth-react.md) | | --- | --- | --- | | Days since push | 926d | 923d | | Open issues (now) | 20 | 5 | | Stars delta | 0 (30d) | +50 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-mm-react/trust.md) | [trust report](/tools/ysymyth-react/trust.md) | ## Shared compatibility - **LangChain**: [MM-REACT](/tools/microsoft-mm-react.md) - LangChain integration; [ReAct](/tools/ysymyth-react.md) - LangChain integration ## Decision facts: MM-REACT - **Adopt for:** MM-REACT is an AI agent framework built upon LangChain. ## Decision facts: ReAct - **Adopt for:** ReAct enhances large language models by improving reasoning and executing actions through specific tasks using GPT-3. ## Choose when ### Choose MM-REACT if… - MM-REACT is primarily Python; ReAct is Jupyter Notebook. - Tags unique to MM-REACT: ai workflow frameworks, langchain, microsoft, python. - If you are working on complex AI workflows and have prior experience with LangChain projects. ### Choose ReAct if… - ReAct is primarily Jupyter Notebook; MM-REACT is Python. - Tags unique to ReAct: decision-making, large language models, llm, prompting. - Also covers LLM Frameworks. - When aiming for better decision-making in HotpotQA, alfworld environments, or WebShop scenarios with GPT-3 ## When NOT to use MM-REACT - Avoid if the dependency on LangChain introduces limitations or complexities that impede project goals. - Not suitable if a more lightweight, alternative AI agent framework is preferred for your specific needs. ## When NOT to use ReAct - If requiring extensive custom task integration beyond provided notebooks, LangChain's zero-shot ReAct agent may be more preferable - When PaLM outperforms GPT-3 on specific tasks or if an alternative model is preferred ## Common questions ### What is the difference between MM-REACT and ReAct? MM-REACT: MM-REACT is an AI agent framework built upon langchain.. ReAct: ReAct Prompting for decision-making with language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose MM-REACT over ReAct? Choose MM-REACT over ReAct when MM-REACT is primarily Python; ReAct is Jupyter Notebook; Tags unique to MM-REACT: ai workflow frameworks, langchain, microsoft, python; If you are working on complex AI workflows and have prior experience with LangChain projects. ### When should I choose ReAct over MM-REACT? Choose ReAct over MM-REACT when ReAct is primarily Jupyter Notebook; MM-REACT is Python; Tags unique to ReAct: decision-making, large language models, llm, prompting; Also covers LLM Frameworks; When aiming for better decision-making in HotpotQA, alfworld environments, or WebShop scenarios with GPT-3. ### When should I avoid MM-REACT? Avoid if the dependency on LangChain introduces limitations or complexities that impede project goals. Not suitable if a more lightweight, alternative AI agent framework is preferred for your specific needs. ### When should I avoid ReAct? If requiring extensive custom task integration beyond provided notebooks, LangChain's zero-shot ReAct agent may be more preferable When PaLM outperforms GPT-3 on specific tasks or if an alternative model is preferred ### Is MM-REACT or ReAct more popular on GitHub? ReAct has more GitHub stars (4,109 vs 967). Stars measure visibility, not whether either tool fits your constraints. ### Are MM-REACT and ReAct open source? Yes - both are open-source projects on GitHub (MM-REACT: MIT, ReAct: MIT). ### Where can I find alternatives to MM-REACT or ReAct? GraphCanon lists graph-backed alternatives at [MM-REACT alternatives](/tools/microsoft-mm-react/alternatives) and [ReAct alternatives](/tools/ysymyth-react/alternatives) ([MM-REACT markdown twin](/tools/microsoft-mm-react/alternatives.md), [ReAct markdown twin](/tools/ysymyth-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-mm-react-vs-ysymyth-react.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, MM-REACT or ReAct? MM-REACT: Dormant. 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 MM-REACT and ReAct? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [MM-REACT trust report](/tools/microsoft-mm-react/trust); [ReAct trust report](/tools/ysymyth-react/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-mm-react`](/api/graphcanon/graph?tool=microsoft-mm-react) - 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/_