Continue vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Continue 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=continue_dev,openai_openai_agents_python or MCP compare_agents(["continue_dev","openai_openai_agents_python"]).
Continue
@continue_dev
Evidence RankedBuilder#1405
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
13.88
Rank
#1405
7d Change
+3
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs—
Discourse—
Ecosystem6.5
Coverage: very_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: #1236 → #1236
Score: 340 → 13.88
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6725 → 72.2
1 days tracked
Recent Signals
Ecosystem mention114d ago
Dev activity59m ago
Repo spike59m ago
Dev activity4h ago
Dev activity8h ago
Repo spike12h ago