fulling vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares fulling 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=fullagent_fulling,openclaw or MCP compare_agents(["fullagent_fulling","openclaw"]).
f
fulling
@fullagent_fulling
Evidence RankedBuilder#703
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
23.01
Rank
#703
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub68.08
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: #530 → #530
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 71.5
1 days tracked
Recent Signals
Repo spike20h ago
Repo spike11d ago
Repo spike14d ago
Repo spike20d ago
Repo spike23d ago
Dev activity125d ago
Repo spike125d ago
Dev activity125d ago
Repo spike125d ago
Dev activity125d ago