tibot vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares tibot 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=van100j_tibot,openclaw or MCP compare_agents(["van100j_tibot","openclaw"]).
t
tibot
@van100j_tibot
Evidence RankedOperator#1091
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
17.07
Rank
#1091
7d Change
—
Score
76.67
Rank
#1
7d Change
+19
Evidence Signals
GitHub30.43
Packages—
Deps—
Docs24
Discourse—
Ecosystem—
Coverage: low
GitHub93
Packages100
Deps69.48
Docs90
Discourse94.15
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: #1142 → #1142
Score: 929 → 17.07
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9232 → 76.67
1 days tracked
Recent Signals
No recent signals
Dev activity59d ago
Repo spike59d ago
Dev activity59d ago
Repo spike59d ago
Dev activity59d ago