open-deep-research vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares open-deep-research 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=nickscamara_open_deep_research,openai_openai_agents_python or MCP compare_agents(["nickscamara_open_deep_research","openai_openai_agents_python"]).
o
open-deep-research
@nickscamara_open_deep_research
Evidence RankedResearcher#446
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
24.95
Rank
#446
7d Change
—
Score
72.24
Rank
#3
7d Change
—
Evidence Signals
GitHub67.8
Packages—
Deps—
Docs55
Discourse8.82
Ecosystem—
Coverage: low
GitHub95.08
Packages100
Deps88.81
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: #803 → #803
Score: 1899 → 24.95
1 days tracked
→ Flat
Rank: #63 → #63
Score: 6726 → 72.24
1 days tracked
Recent Signals
Repo spike5d ago
Repo spike6d ago
Repo spike6d ago
Repo spike10d ago
Repo spike12d ago
Dev activity3h ago
Repo spike3h ago
Dev activity7h ago
Repo spike7h ago
Dev activity11h ago