FastAgent vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares FastAgent 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=hkuds_fastagent,openai_openai_agents_python or MCP compare_agents(["hkuds_fastagent","openai_openai_agents_python"]).
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FastAgent
@hkuds_fastagent
Evidence RankedOperator#960
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
19.77
Rank
#960
7d Change
—
Score
72.53
Rank
#1
7d Change
—
Evidence Signals
GitHub32.12
Packages—
Deps—
Docs53
Discourse—
Ecosystem—
Coverage: low
GitHub95.45
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: #1180 → #1180
Score: 885 → 19.77
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6734 → 72.53
1 days tracked
Recent Signals
Repo spike51d ago
Repo spike52d ago
Repo spike62d ago
Repo spike66d ago
Repo spike67d ago
Repo spike1h ago
Repo spike5h ago
Repo spike9h ago
Repo spike13h ago
Dev activity17h ago