GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
MM-REACT is an AI agent framework built upon LangChain.
Good fit when
- If you are working on complex AI workflows and have prior experience with LangChain projects.
- When your development team specifically wants to utilize frameworks backed by Microsoft.
Avoid when
- 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.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (962d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Microsoft. Display-only - separate from trust and ranking.
- Company
- Microsoft·GitHub org profile·Jul 11, 2026
- Employees
- 221,000·Wikidata (P1128 employees)·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
pip install MM-REACTSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository hosts MM-REACT, an AI agent framework developed by Microsoft and based on the langchain project for building complex AI workflows.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
MM-REACT code is bases on langchain.Source link
Tags
README
Getting Started MM REACT code is bases on langchain. Please refer to langchain for instructions on installation and documentation.
For agents
This page has a .md twin and JSON over the API.