AutoGPT vs agent-browser
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares AutoGPT and agent-browser 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,vercel_labs_agent_browser or MCP compare_agents(["autogpt","vercel_labs_agent_browser"]).

AutoGPT
@autogpt
Evidence RankedRebel#27
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agent-browser
@vercel_labs_agent_browser
Evidence RankedOperator#28
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Score & Rank
Score
47.5
Rank
#27
7d Change
+36
Score
47.03
Rank
#28
7d Change
—
Evidence Signals
GitHub93
Packages—
Deps—
Docs87
Discourse18.95
Ecosystem55.58
Coverage: medium
GitHub—
Packages94.44
Deps—
Docs86
Discourse48.42
Ecosystem—
Coverage: low
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #4 → #4
Score: 9220 → 47.5
1 days tracked
→ Flat
Rank: #272 → #272
1 days tracked
Recent Signals
Dev activity30d ago
Repo spike30d ago
Dev activity30d ago
Repo spike30d ago
Dev activity30d ago
No recent signals