ra2a vs DSPy Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ra2a and DSPy Agents 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=qntx_ra2a,dspyagents or MCP compare_agents(["qntx_ra2a","dspyagents"]).
r
ra2a
@qntx_ra2a
Evidence RankedBuilder#927
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DSPy Agents
@dspyagents
Evidence RankedFramework#3
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Score & Rank
Score
18.92
Rank
#927
7d Change
—
Score
71.13
Rank
#3
7d Change
+5
Evidence Signals
GitHub43.51
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub88.23
Packages96.66
Deps80.91
Docs71
Discourse66.93
Ecosystem1.06
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #767 → #767
Score: 2310 → 18.92
1 days tracked
→ Flat
Rank: #40 → #40
Score: 6839 → 71.13
1 days tracked
Recent Signals
No recent signals
Repo spike36d ago
Repo spike36d ago
Dev activity36d ago
Repo spike36d ago
Repo spike36d ago