MemGPT vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares MemGPT 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=memgpt,openclaw or MCP compare_agents(["memgpt","openclaw"]).
MemGPT
@memgpt
Evidence RankedResearcher#359
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
24.28
Rank
#359
7d Change
+10
Score
78.68
Rank
#1
7d Change
+19
Evidence Signals
GitHub20.1
Packages—
Deps—
Docs55
Discourse21.78
Ecosystem21.52
Coverage: medium
GitHub100
Packages100
Deps69.2
Docs90
Discourse98.68
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: #78 → #78
Score: 680 → 24.28
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 78.68
1 days tracked
Recent Signals
Repo spike31d ago
Repo spike37d ago
Repo spike38d ago
Repo spike40d ago
Repo spike41d ago
Dev activity27d ago
Repo spike27d ago
Dev activity27d ago
Repo spike27d ago
Dev activity28d ago