mini-agi vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares mini-agi 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=muellerberndt_mini_agi,openai_openai_agents_python or MCP compare_agents(["muellerberndt_mini_agi","openai_openai_agents_python"]).
m
mini-agi
@muellerberndt_mini_agi
Evidence RankedOperator#500
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
24.11
Rank
#500
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub56.68
Packages—
Deps—
Docs56
Discourse—
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: #843 → #843
Score: 1731 → 24.11
1 days tracked
→ Flat
Rank: #62 → #62
Score: 6725 → 72.2
1 days tracked
Recent Signals
Repo spike11d ago
Repo spike41d ago
Repo spike49d ago
Repo spike73d ago
Repo spike2h ago
Dev activity5h ago
Repo spike5h ago
New release5h ago
Dev activity9h ago