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#1108
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
View profile →
Score & Rank
Score
16.76
Rank
#1108
7d Change
—
Score
71.65
Rank
#3
7d Change
—
Evidence Signals
GitHub30.57
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub94.87
Packages100
Deps87.55
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: #1154 → #1154
Score: 893 → 16.76
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6721 → 71.65
1 days tracked
Recent Signals
Repo spike31d ago
Repo spike39d ago
Repo spike44d ago
Repo spike3h ago
Repo spike7h ago
Repo spike11h ago
Repo spike19h ago
Repo spike23h ago