awesome-agv vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares awesome-agv 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=irahardianto_awesome_agv,openai_openai_agents_python or MCP compare_agents(["irahardianto_awesome_agv","openai_openai_agents_python"]).
a
awesome-agv
@irahardianto_awesome_agv
Evidence RankedBuilder#480
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
24.38
Rank
#480
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub56.27
Packages—
Deps—
Docs60
Discourse—
Ecosystem—
Coverage: low
GitHub95.03
Packages100
Deps88.64
Docs74
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: #1039 → #1039
1 days tracked
→ Flat
Rank: #1244 → #1244
1 days tracked
Recent Signals
Dev activity9d ago
New release9d ago
Repo spike18d ago
Dev activity18d ago
New release18d ago
Dev activity14m ago
Repo spike14m ago
Dev activity4h ago
Repo spike4h ago
Dev activity8h ago