ReCode vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ReCode 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=foundationagents_recode,openai_openai_agents_python or MCP compare_agents(["foundationagents_recode","openai_openai_agents_python"]).
R
ReCode
@foundationagents_recode
Evidence RankedBuilder#741
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
View profile →
Score & Rank
Score
21.66
Rank
#741
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub47.19
Packages—
Deps—
Docs44
Discourse21.52
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: #954 → #954
Score: 1374 → 21.66
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6725 → 72.2
1 days tracked
Recent Signals
Repo spike14d ago
Repo spike15d ago
Repo spike23d ago
Repo spike33d ago
Repo spike33d ago
Dev activity40m ago
Repo spike40m ago
Dev activity4h ago
Dev activity8h ago
Repo spike12h ago