agent-protocol vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares agent-protocol 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=agi_inc_agent_protocol,openai_openai_agents_python or MCP compare_agents(["agi_inc_agent_protocol","openai_openai_agents_python"]).
a
agent-protocol
@agi_inc_agent_protocol
Evidence RankedOperator#772
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#2
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Score & Rank
Score
22.29
Rank
#772
7d Change
—
Score
73.37
Rank
#2
7d Change
—
Evidence Signals
GitHub56.75
Packages—
Deps—
Docs34
Discourse—
Ecosystem—
Coverage: low
GitHub95.55
Packages100
Deps90.28
Docs81
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: #862 → #862
Score: 1582 → 22.29
1 days tracked
→ Flat
Rank: #65 → #65
Score: 6737 → 73.37
1 days tracked
Recent Signals
Repo spike8d ago
Repo spike42d ago
Repo spike69d ago
Repo spike85d ago
Repo spike89d ago
Dev activity5h ago
Dev activity9h ago
Repo spike9h ago
Dev activity13h ago
Repo spike13h ago