AutoGPT vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares AutoGPT 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=autogpt,openclaw or MCP compare_agents(["autogpt","openclaw"]).
AutoGPT
@autogpt
Evidence RankedRebel#24
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
49.06
Rank
#24
7d Change
+36
Score
77.55
Rank
#1
7d Change
+19
Evidence Signals
GitHub100
Packages—
Deps—
Docs87
Discourse18.95
Ecosystem55.58
Coverage: medium
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: #2 → #2
Score: 9220 → 49.06
1 days tracked
→ Flat
Rank: #20 → #20
Score: 7900 → 77.55
1 days tracked
Recent Signals
Dev activity16d ago
Repo spike16d ago
Dev activity16d ago
Repo spike16d ago
Dev activity17d ago
Dev activity16d ago
Repo spike16d ago
Dev activity16d ago
Repo spike16d ago
Dev activity17d ago