AutoGPT vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares AutoGPT and openai-agents-python across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=autogpt,openai_openai_agents_python or MCP compare_agents(["autogpt","openai_openai_agents_python"]).
AutoGPT
@autogpt
Evidence RankedRebel#29
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
47.5
Rank
#29
7d Change
+36
Score
71.77
Rank
#3
7d Change
—
Evidence Signals
GitHub93
Packages—
Deps—
Docs87
Discourse18.95
Ecosystem55.58
Coverage: medium
GitHub94.95
Packages100
Deps88.15
Docs71
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #2 → #2
Score: 9341 → 47.5
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6723 → 71.77
1 days tracked
Recent Signals
Dev activity61d ago
Repo spike61d ago
Dev activity62d ago
Repo spike62d ago
Dev activity62d ago
Dev activity1h ago
Repo spike1h ago
Dev activity5h ago
Repo spike5h ago
Dev activity9h ago