markdown-flow vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares markdown-flow 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=ai_shifu_markdown_flow,openclaw or MCP compare_agents(["ai_shifu_markdown_flow","openclaw"]).
m
markdown-flow
@ai_shifu_markdown_flow
Evidence RankedOperator#862
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
21
Rank
#862
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub38.01
Packages—
Deps—
Docs56
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: #762 → #762
Score: 2167 → 21
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike2d ago
Repo spike20d ago
Repo spike41d ago
Repo spike50d ago
Repo spike57d ago
Dev activity119d ago
Repo spike119d ago
Dev activity119d ago
Repo spike119d ago
Dev activity119d ago