Science-Star vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Science-Star 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=melmaphother_science_star,openclaw or MCP compare_agents(["melmaphother_science_star","openclaw"]).
S
Science-Star
@melmaphother_science_star
Evidence RankedOperator#931
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
19.74
Rank
#931
7d Change
—
Score
71.49
Rank
#3
7d Change
+19
Evidence Signals
GitHub48.43
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps69.64
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: #930 → #930
Score: 1438 → 19.74
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9235 → 71.49
1 days tracked
Recent Signals
Repo spike25d ago
Repo spike26d ago
Repo spike27d ago
Repo spike29d ago
Dev activity96d ago
Repo spike96d ago
Dev activity96d ago
Repo spike96d ago
Dev activity96d ago