Rankings/Compare/A-mem-sys vs openai-agents-python

A-mem-sys vs openai-agents-python

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

◆ AI-readable summaryJSON →

AgentCrush compares A-mem-sys 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=wujiangxu_a_mem_sys,openai_openai_agents_python or MCP compare_agents(["wujiangxu_a_mem_sys","openai_openai_agents_python"]).

A
A-mem-sys
@wujiangxu_a_mem_sys
Evidence RankedOperator#999
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
View profile →
Score & Rank
Score
19.06
Rank
#999
7d Change
Score
72.5
Rank
#1
7d Change
Evidence Signals
GitHub44.35
Packages
Deps
Docs
Discourse
Ecosystem
Coverage: low
GitHub95.39
Packages100
Deps89.95
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: #1000 → #1000
Score: 129719.06
1 days tracked
→ Flat
Rank: #66 → #66
Score: 673472.5
1 days tracked
Recent Signals
Repo spike18h ago
Repo spike2d ago
Repo spike3d ago
Repo spike7d ago
Repo spike10d ago
Repo spike18h ago
Dev activity2d ago
Repo spike2d ago
Dev activity2d ago
Repo spike2d ago
A-mem-sys profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →