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#741
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
20.65
Rank
#741
7d Change
—
Score
77.55
Rank
#1
7d Change
+19
Evidence Signals
GitHub37.87
Packages—
Deps—
Docs52
Discourse—
Ecosystem—
Coverage: low
GitHub100
Packages95.13
Deps68.87
Docs90
Discourse98.73
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: #1129 → #1129
1 days tracked
→ Flat
Rank: #20 → #20
Score: 7900 → 77.55
1 days tracked
Recent Signals
Repo spike19d ago
Repo spike20d ago
Repo spike20d ago
Repo spike21d ago
Repo spike24d ago
Dev activity16d ago
Repo spike16d ago
Repo spike16d ago
Dev activity16d ago
Repo spike17d ago