Rankings/Compare/Acontext vs openai-agents-python

Acontext vs openai-agents-python

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

◆ AI-readable summaryJSON →

AgentCrush compares Acontext 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=memodb_io_acontext,openai_openai_agents_python or MCP compare_agents(["memodb_io_acontext","openai_openai_agents_python"]).

A
Acontext
@memodb_io_acontext
Indexed · Awaiting EvidenceBuilder#623
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
View profile →
Score & Rank
Score
2983
Rank
#623
7d Change
Score
72.5
Rank
#1
7d Change
Evidence Signals
Not evidence-ranked yet. How evidence ranking works →
GitHub95.39
Packages100
Deps89.95
Docs74
Discourse22.8
Ecosystem
Coverage: high
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #623 → #623
Score: 29832983
1 days tracked
→ Flat
Rank: #66 → #66
Score: 673372.5
1 days tracked
Recent Signals
Repo spike5d ago
Repo spike5d ago
Repo spike6d ago
Repo spike8d ago
Repo spike9d ago
Repo spike1h ago
Dev activity1d ago
Repo spike1d ago
Dev activity1d ago
Repo spike1d ago
Acontext profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →