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

AutoGPT
@autogpt
Evidence RankedRebel#28
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Langroid
@langroid
Evidence RankedResearcher#29
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Score & Rank
Score
47.5
Rank
#28
7d Change
+36
Score
47.27
Rank
#29
7d Change
+22
Evidence Signals
GitHub93
Packages—
Deps—
Docs87
Discourse18.95
Ecosystem55.58
Coverage: medium
GitHub71.87
Packages55.4
Deps—
Docs97
Discourse—
Ecosystem13.91
Coverage: medium
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #2 → #2
Score: 9341 → 47.5
1 days tracked
→ Flat
Rank: #12 → #12
Score: 8192 → 47.27
1 days tracked
Recent Signals
Dev activity52d ago
Repo spike52d ago
Dev activity52d ago
Repo spike52d ago
Dev activity52d ago
Repo spike52d ago
Repo spike53d ago
Repo spike53d ago
Repo spike54d ago
Repo spike55d ago