Awesome-Agent-Projects vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Awesome-Agent-Projects 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=pengshuang_awesome_agent_projects,openai_openai_agents_python or MCP compare_agents(["pengshuang_awesome_agent_projects","openai_openai_agents_python"]).
A
Awesome-Agent-Projects
@pengshuang_awesome_agent_projects
Evidence RankedOperator#1093
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
18.18
Rank
#1093
7d Change
—
Score
73.79
Rank
#1
7d Change
—
Evidence Signals
GitHub30.57
Packages—
Deps—
Docs37
Discourse—
Ecosystem—
Coverage: low
GitHub95.67
Packages100
Deps90.63
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: #1181 → #1181
Score: 900 → 18.18
1 days tracked
→ Flat
Rank: #67 → #67
Score: 6739 → 73.79
1 days tracked
Recent Signals
Repo spike96d ago
Repo spike100d ago
Repo spike135d ago
Repo spike143d ago
Repo spike149d ago
Repo spike2h ago
Dev activity6h ago
Repo spike6h ago
Repo spike14h ago
Repo spike22h ago