Open-AutoGLM vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Open-AutoGLM 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=zai_org_open_autoglm,openai_openai_agents_python or MCP compare_agents(["zai_org_open_autoglm","openai_openai_agents_python"]).
O
Open-AutoGLM
@zai_org_open_autoglm
Evidence RankedOperator#1114
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
16.9
Rank
#1114
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs56
Discourse6.77
Ecosystem—
Coverage: 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: #775 → #775
Score: 2206 → 16.9
1 days tracked
→ Flat
Rank: #62 → #62
Score: 6725 → 72.2
1 days tracked
Recent Signals
No recent signals
Repo spike2h ago
Dev activity5h ago
Repo spike5h ago
New release5h ago
Dev activity9h ago