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#311
View profile →
OpenClaw Agents
@openclaw
Evidence RankedOperator#3
View profile →
Score & Rank
Score
28.39
Rank
#311
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub83.34
Packages—
Deps—
Docs54
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: #256 → #256
Score: 4890 → 28.39
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike6h ago
Repo spike14h ago
Repo spike18h ago
Repo spike1d ago
Dev activity1d ago
Dev activity124d ago
Repo spike124d ago
Dev activity124d ago
Repo spike124d ago
Dev activity124d ago