Rankings/Compare/total-recall vs openai-agents-python

total-recall vs openai-agents-python

Compare ranking, evidence, ecosystem context, and trust signals.

◆ AI-readable summaryJSON →

AgentCrush compares total-recall 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=davegoldblatt_total_recall,openai_openai_agents_python or MCP compare_agents(["davegoldblatt_total_recall","openai_openai_agents_python"]).

t
total-recall
@davegoldblatt_total_recall
Evidence RankedBuilder#1068
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o
openai-agents-python
@openai_openai_agents_python
Indexed · Awaiting EvidenceOperator#66
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Score & Rank
Score
18.05
Rank
#1068
7d Change
Score
6734
Rank
#66
7d Change
Evidence Signals
GitHub38.29
Packages
Deps
Docs
Discourse
Ecosystem
Coverage: low
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1069 → #1069
Score: 115518.05
1 days tracked
→ Flat
Rank: #66 → #66
Score: 67346734
1 days tracked
Recent Signals
Repo spike8d ago
Repo spike20d ago
Repo spike43d ago
Repo spike107d ago
Repo spike111d ago
Repo spike2h ago
Repo spike6h ago
Repo spike1d ago
Dev activity2d ago
Repo spike2d ago
total-recall profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →