HiClaw vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares HiClaw 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=agentscope_ai_hiclaw,openai_openai_agents_python or MCP compare_agents(["agentscope_ai_hiclaw","openai_openai_agents_python"]).
H
HiClaw
@agentscope_ai_hiclaw
Evidence RankedOperator#197
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
28.34
Rank
#197
7d Change
—
Score
71.13
Rank
#3
7d Change
—
Evidence Signals
GitHub80.93
Packages—
Deps—
Docs76
Discourse2.26
Ecosystem—
Coverage: low
GitHub94.78
Packages100
Deps85.87
Docs69
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: #256 → #256
Score: 4845 → 28.34
1 days tracked
→ Flat
Rank: #58 → #58
Score: 6718 → 71.13
1 days tracked
Recent Signals
Repo spike2h ago
Repo spike14h ago
Repo spike18h ago
Repo spike22h ago
Dev activity1d ago
Dev activity2h ago
Repo spike2h ago
Dev activity6h ago
Repo spike6h ago
Repo spike10h ago