llm-codenames vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares llm-codenames 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=ilya_aby_llm_codenames,openai_openai_agents_python or MCP compare_agents(["ilya_aby_llm_codenames","openai_openai_agents_python"]).
l
llm-codenames
@ilya_aby_llm_codenames
Evidence RankedBuilder#1041
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
18.15
Rank
#1041
7d Change
—
Score
72.3
Rank
#3
7d Change
—
Evidence Signals
GitHub45.89
Packages—
Deps—
Docs6
Discourse—
Ecosystem—
Coverage: low
GitHub95.14
Packages100
Deps89.07
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: #580 → #580
Score: 4023 → 18.15
1 days tracked
→ Flat
Rank: #62 → #62
Score: 6728 → 72.3
1 days tracked
Recent Signals
Dev activity10d ago
Repo spike12d ago
Repo spike21d ago
Dev activity3h ago
Repo spike3h ago
Dev activity7h ago
Repo spike7h ago
Dev activity11h ago