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Comparison

MM-REACT vs AutoGPT

Verdict

Pick MM-REACT when license: MM-REACT is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, MM-REACT is MIT.

Markdown twin · MM-REACT alternatives · AutoGPT alternatives

GraphCanon updated today

MM-REACT logo

MM-REACT

microsoft/MM-REACT

★ 967pushed Jan 31, 2024
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 185kpushed Jul 11, 2026

Trust & integrity

SignalMM-REACTAutoGPT
Maintenance
Dormant (891d since push)
As of today · github_public_v1
Very active (0d 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 today · none
No lockfile
As of today · none
MM-REACT trust reportAutoGPT trust reportTrust methodology

Tagline

MM-REACT
Official repo for MM-REACT
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

MM-REACT
967
AutoGPT
185k

Forks

MM-REACT
67
AutoGPT
46k

Open issues

MM-REACT
20
AutoGPT
494

Language

MM-REACT
Python
AutoGPT
Python

Adopt for

MM-REACT
-
AutoGPT
AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.

Persona

MM-REACT
-
AutoGPT
-

Runtime

MM-REACT
-
AutoGPT
-

License

MM-REACT
MIT
AutoGPT
Other

Last pushed

MM-REACT
Jan 31, 2024
AutoGPT
Jul 11, 2026

Categories

MM-REACT
LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

MM-REACT
Dormant (18%)
AutoGPT
Very active (96%)

Days since push

MM-REACT
891d
AutoGPT
0d

Open issues (now)

MM-REACT
20
AutoGPT
494

Full report

MM-REACT
Trust report
AutoGPT
Trust report

Choose MM-REACT if…

  • License: MM-REACT is MIT, AutoGPT is Other.
  • 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.
GitHubDetails

Choose AutoGPT if…

  • License: AutoGPT is Other, MM-REACT is MIT.
  • Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
  • Also covers AI Agents.
  • When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.

When NOT to use AutoGPT

  • Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
  • If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
GitHubDetails

Explore

MM-REACT trust report →AutoGPT trust report →LLM Frameworks category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: MM-REACT 967 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between MM-REACT and AutoGPT?
MM-REACT: Official repo for MM-REACT. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
When should I choose MM-REACT over AutoGPT?
Choose MM-REACT over AutoGPT when License: MM-REACT is MIT, AutoGPT is Other; Tags unique to MM-REACT: python; Leaner open-issue backlog (20).
When should I choose AutoGPT over MM-REACT?
Choose AutoGPT over MM-REACT when License: AutoGPT is Other, MM-REACT is MIT; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
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.
When should I avoid AutoGPT?
Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Is MM-REACT or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 967). Stars measure visibility, not whether either tool fits your constraints.
Are MM-REACT and AutoGPT open source?
Yes - both are open-source projects on GitHub (MM-REACT: MIT, AutoGPT: Other).
Where can I find alternatives to MM-REACT or AutoGPT?
GraphCanon lists graph-backed alternatives at MM-REACT alternatives and AutoGPT alternatives (MM-REACT markdown twin, AutoGPT 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, MM-REACT or AutoGPT?
MM-REACT: Dormant. AutoGPT: Very active. 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 AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MM-REACT trust report; AutoGPT trust report.