AI-Coding-Guide-Zh vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares AI-Coding-Guide-Zh 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=kimyx0207_ai_coding_guide_zh,openclaw or MCP compare_agents(["kimyx0207_ai_coding_guide_zh","openclaw"]).
A
AI-Coding-Guide-Zh
@kimyx0207_ai_coding_guide_zh
Evidence RankedBuilder#347
View profile →
OpenClaw Agents
@openclaw
Evidence RankedOperator#1
View profile →
Score & Rank
Score
25.25
Rank
#347
7d Change
—
Score
77.08
Rank
#1
7d Change
+19
Evidence Signals
GitHub81.5
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub93
Packages100
Deps69.41
Docs90
Discourse97.92
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: #253 → #253
Score: 4849 → 25.25
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9231 → 77.08
1 days tracked
Recent Signals
Repo spike1h ago
Repo spike5h ago
Repo spike9h ago
Repo spike13h ago
Repo spike17h ago
Dev activity45d ago
Repo spike45d ago
Dev activity45d ago
Repo spike45d ago
Dev activity45d ago