MetaClaw vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares MetaClaw 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=aiming_lab_metaclaw,openai_openai_agents_python or MCP compare_agents(["aiming_lab_metaclaw","openai_openai_agents_python"]).
M
MetaClaw
@aiming_lab_metaclaw
Evidence RankedOperator#515
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
26.01
Rank
#515
7d Change
—
Score
73.81
Rank
#1
7d Change
—
Evidence Signals
GitHub66.54
Packages—
Deps—
Docs59
Discourse—
Ecosystem—
Coverage: low
GitHub95.7
Packages100
Deps90.73
Docs84
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: #820 → #820
Score: 1770 → 26.01
1 days tracked
→ Flat
Rank: #69 → #69
Score: 6741 → 73.81
1 days tracked
Recent Signals
Repo spike19h ago
Repo spike3d ago
Repo spike4d ago
Repo spike4d ago
Repo spike4d ago
Repo spike3h ago
Dev activity11h ago
Repo spike11h ago
Dev activity15h ago
Repo spike15h ago