llm-agents-from-scratch vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares llm-agents-from-scratch 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=nerdai_llm_agents_from_scratch,openai_openai_agents_python or MCP compare_agents(["nerdai_llm_agents_from_scratch","openai_openai_agents_python"]).
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llm-agents-from-scratch
@nerdai_llm_agents_from_scratch
Evidence RankedOperator#289
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
26.51
Rank
#289
7d Change
—
Score
71.5
Rank
#3
7d Change
—
Evidence Signals
GitHub56.55
Packages—
Deps—
Docs85
Discourse—
Ecosystem—
Coverage: low
GitHub94.81
Packages100
Deps86.69
Docs71
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: #578 → #578
Score: 4095 → 26.51
1 days tracked
→ Flat
Rank: #59 → #59
Score: 6720 → 71.5
1 days tracked
Recent Signals
Dev activity17h ago
Dev activity21h ago
Dev activity1d ago
Dev activity3d ago
Dev activity3d ago
Repo spike1h ago
Repo spike5h ago
Repo spike9h ago
Repo spike13h ago
Repo spike17h ago