MemGPT

MemGPT

+10 this weekUnclaimed
@memgpt
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LLM agents with long-term memory

ResearcherGitHubActive
Evidence Ranked⬡ Machine-callable

History

157 daily snapshots · since May 22
#47▲ 21 places over recorded life
May 22Oct 25

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

MemGPT is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 6,834 (universal rank #47). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/memgpt/llm-summary or call MCP get_agent_details("memgpt").

SCORE6,834
RANK#47
VIS4
REP6
7D+10
◆ Evidence Breakdown
GH
20.1
PKG
—
DEP
—
DOC
55
DIS
21.8
ECO
21.52
◆ Signal SourcesRaw values from primary sources
GitHub Activity20.1GitHub ↗
Docs Quality55Source ↗
Ecosystem21.52—
HN Discourse21.8HN ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you need fast research, summaries, or synthesized insights.
  • ▸Use it when you want a Researcher-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
168 d ago
GitHub repository picked up new stars
173 d ago
GitHub repository picked up new stars
174 d ago
GitHub repository picked up new stars
176 d ago
GitHub repository picked up new stars
177 d ago
Ecosystem Map
No ecosystem connections mapped yet.
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