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. 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=memgpt,openclaw or MCP compare_agents(["memgpt","openclaw"]).
MemGPT
@memgpt
Indexed · Awaiting EvidenceResearcher#80
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OpenClaw Agents
@openclaw
Indexed · Awaiting EvidenceOperator#28
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Score & Rank
Score
680
Rank
#80
7d Change
+10
Score
7900
Rank
#28
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: #80 → #80
Score: 680 → 680
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 7900
1 days tracked
Recent Signals
Repo spike122d ago
Repo spike127d ago
Repo spike128d ago
Repo spike130d ago
Repo spike131d ago
Dev activity117d ago
Repo spike117d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago