Home/Compare/mage-ai vs AutoGPT

Comparison

mage-ai vs AutoGPT

Verdict

Pick mage-ai when license: mage-ai is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, mage-ai is Apache-2.0.

Markdown twin · mage-ai alternatives · AutoGPT alternatives

GraphCanon updated today

mage-ai logo

mage-ai

mage-ai/mage-ai

8.8kpushed Jul 2, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

Signalmage-aiAutoGPT
Maintenance
Active (12d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
Published findings
As of today · osv@v1
No lockfile (source not queried)
As of 4d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

mage-ai
8.8k
AutoGPT
185k

Forks

mage-ai
978
AutoGPT
46k

Open issues

mage-ai
617
AutoGPT
494

Language

mage-ai
Python
AutoGPT
Python

Adopt for

mage-ai
-
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

mage-ai
-
AutoGPT
-

Runtime

mage-ai
-
AutoGPT
-

License

mage-ai
Apache-2.0
AutoGPT
Other

Last pushed

mage-ai
Jul 2, 2026
AutoGPT
Jul 11, 2026

Categories

mage-ai
AI Agents, Developer Tools, LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

mage-ai
Active (82%)
AutoGPT
Very active (96%)

Days since push

mage-ai
12d
AutoGPT
0d

Open issues (now)

mage-ai
617
AutoGPT
494

OSV dependency advisories

mage-ai
Published findings
AutoGPT
No lockfile (source not queried)

Full report

Choose mage-ai if…

  • License: mage-ai is Apache-2.0, AutoGPT is Other.
  • Tags unique to mage-ai: data, data-engineering, data-integration, data-pipelines.
  • Also covers Developer Tools.
  • mage-ai ships Docker support for self-hosted deployment.

When NOT to use mage-ai

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose AutoGPT if…

  • License: AutoGPT is Other, mage-ai is Apache-2.0.
  • Tags unique to AutoGPT: agentic-ai, agents, ai, autonomous-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.

Explore

Sources

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

GitHub stars on cards: mage-ai 8.8k · AutoGPT 185k (synced Jul 15, 2026).

Common questions

What is the difference between mage-ai and AutoGPT?
mage-ai: 🧙 Build, run, and manage data pipelines for integrating and transforming data.. 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 mage-ai over AutoGPT?
Choose mage-ai over AutoGPT when License: mage-ai is Apache-2.0, AutoGPT is Other; Tags unique to mage-ai: data, data-engineering, data-integration, data-pipelines; Also covers Developer Tools; mage-ai ships Docker support for self-hosted deployment.
When should I choose AutoGPT over mage-ai?
Choose AutoGPT over mage-ai when License: AutoGPT is Other, mage-ai is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, ai, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid mage-ai?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. 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 mage-ai or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 8,770). Stars measure visibility, not whether either tool fits your constraints.
Are mage-ai and AutoGPT open source?
Yes - both are open-source projects on GitHub (mage-ai: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to mage-ai or AutoGPT?
GraphCanon lists graph-backed alternatives at mage-ai alternatives and AutoGPT alternatives (mage-ai 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, mage-ai or AutoGPT?
mage-ai: Active. 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 mage-ai and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mage-ai trust report; AutoGPT trust report.

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