alphaclaw vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares alphaclaw 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=chrysb_alphaclaw,openai_openai_agents_python or MCP compare_agents(["chrysb_alphaclaw","openai_openai_agents_python"]).
a
alphaclaw
@chrysb_alphaclaw
Indexed · Awaiting EvidenceOperator#417
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
4585
Rank
#417
7d Change
—
Score
73.79
Rank
#1
7d Change
—
Evidence Signals
Not evidence-ranked yet. How evidence ranking works →
GitHub95.67
Packages100
Deps90.63
Docs84
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #417 → #417
Score: 4585 → 4585
1 days tracked
→ Flat
Rank: #68 → #68
Score: 6740 → 73.79
1 days tracked
Recent Signals
Dev activity15h ago
Dev activity23h ago
Repo spike1d ago
Repo spike7d ago
Dev activity7d ago
Repo spike3h ago
Repo spike7h ago
Repo spike15h ago
Repo spike23h ago
Repo spike1d ago