chatgpt-on-wechat vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares chatgpt-on-wechat 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=zhayujie_chatgpt_on_wechat,openai_openai_agents_python or MCP compare_agents(["zhayujie_chatgpt_on_wechat","openai_openai_agents_python"]).
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chatgpt-on-wechat
@zhayujie_chatgpt_on_wechat
Evidence RankedOperator#888
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
20.75
Rank
#888
7d Change
—
Score
72.53
Rank
#1
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs89
Discourse—
Ecosystem—
Coverage: very_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: #164 → #164
Score: 5336 → 20.75
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6734 → 72.53
1 days tracked
Recent Signals
No recent signals
Repo spike2h ago
Repo spike6h ago
Repo spike10h ago
Repo spike14h ago
Dev activity18h ago