Home/Compare/autogen vs MM-REACT

Comparison

autogen vs MM-REACT

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.

Markdown twin · autogen alternatives · MM-REACT alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026
vs
MM-REACT logo

MM-REACT

microsoft/MM-REACT

967pushed Jan 31, 2024

Trust & integrity

SignalautogenMM-REACT
Maintenance
Steady (87d since push)
As of today · github_public_v1
Dormant (891d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of today · none

Tagline

autogen
A programming framework for agentic AI
MM-REACT
Official repo for MM-REACT

Stars

autogen
60k
MM-REACT
967

Forks

autogen
9.0k
MM-REACT
67

Open issues

autogen
945
MM-REACT
20

Language

autogen
Python
MM-REACT
Python

Adopt for

autogen
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.
MM-REACT
-

Persona

autogen
-
MM-REACT
-

Runtime

autogen
-
MM-REACT
-

License

autogen
CC-BY-4.0
MM-REACT
MIT

Last pushed

autogen
Apr 15, 2026
MM-REACT
Jan 31, 2024

Categories

autogen
AI Agents, LLM Frameworks
MM-REACT
LLM Frameworks

Trust and health

Maintenance

autogen
Steady (60%)
MM-REACT
Dormant (18%)

Days since push

autogen
87d
MM-REACT
891d

Open issues (now)

autogen
945
MM-REACT
20

Full report

MM-REACT
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: autogen 60k · MM-REACT 967 (synced Jul 11, 2026).

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 and MM-REACT alternatives (autogen markdown twin, MM-REACT markdown twin), 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 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; MM-REACT trust report.