total-recall vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares total-recall and OpenClaw 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=gavdalf_total_recall,openclaw or MCP compare_agents(["gavdalf_total_recall","openclaw"]).
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total-recall
@gavdalf_total_recall
Evidence RankedOperator#966
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
19.52
Rank
#966
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub47.11
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps69.69
Docs84
Discourse63.27
Ecosystem5.68
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1042 → #1042
Score: 1218 → 19.52
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike18d ago
Repo spike34d ago
Repo spike35d ago
Repo spike36d ago
Repo spike37d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago