agent-shell vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares agent-shell 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=xenodium_agent_shell,openai_openai_agents_python or MCP compare_agents(["xenodium_agent_shell","openai_openai_agents_python"]).
a
agent-shell
@xenodium_agent_shell
Evidence RankedBuilder#427
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
26.69
Rank
#427
7d Change
—
Score
72.54
Rank
#1
7d Change
—
Evidence Signals
GitHub68.61
Packages—
Deps—
Docs63
Discourse—
Ecosystem—
Coverage: low
GitHub95.47
Packages100
Deps90.05
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: #381 → #381
Score: 4635 → 26.69
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6735 → 72.54
1 days tracked
Recent Signals
Repo spike15h ago
Repo spike19h ago
Dev activity23h ago
Repo spike1d ago
Repo spike1d ago
Dev activity2h ago
Repo spike2h ago
Repo spike7h ago
Dev activity11h ago
Repo spike11h ago