langgraph4j vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares langgraph4j and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. Both are indexed but not yet evidence-ranked. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=langgraph4j_langgraph4j,openclaw or MCP compare_agents(["langgraph4j_langgraph4j","openclaw"]).
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langgraph4j
@langgraph4j_langgraph4j
Indexed · Awaiting EvidenceOperator#385
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OpenClaw Agents
@openclaw
Indexed · Awaiting EvidenceOperator#3
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Score & Rank
Score
4659
Rank
#385
7d Change
—
Score
9239
Rank
#3
7d Change
+19
Evidence SignalsEvidence ranking not yet assigned
Not evidence-ranked yet. How evidence ranking works →
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #385 → #385
Score: 4659 → 4659
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9239 → 9239
1 days tracked
Recent Signals
Repo spike10h ago
Dev activity1d ago
Repo spike2d ago
Repo spike2d ago
Dev activity3d ago
Dev activity170d ago
Repo spike170d ago
Dev activity171d ago
Repo spike171d ago
Dev activity171d ago