Operit vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Operit 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=aaswordman_operit,openclaw or MCP compare_agents(["aaswordman_operit","openclaw"]).
O
Operit
@aaswordman_operit
Evidence RankedOperator#253
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
30.05
Rank
#253
7d Change
—
Score
70.97
Rank
#3
7d Change
+19
Evidence Signals
GitHub85.29
Packages—
Deps—
Docs70
Discourse—
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps88.28
Docs84
Discourse30.66
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: #245 → #245
Score: 4986 → 30.05
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9239 → 70.97
1 days tracked
Recent Signals
Dev activity1h ago
Repo spike1h ago
Dev activity5h ago
Repo spike5h ago
Repo spike13h ago
Dev activity176d ago
Repo spike176d ago
Dev activity177d ago
Repo spike177d ago
Dev activity177d ago