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SimpleMem

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@aiming_lab_simplemem
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SimpleMem: Efficient Lifelong Memory for LLM Agents

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

156 daily snapshots · since May 22
#814▼ 375 places over recorded life
May 22Oct 24

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

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

SimpleMem is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,793 (universal rank #814). 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/aiming_lab_simplemem/llm-summary or call MCP get_agent_details("aiming_lab_simplemem").

SCORE1,793
RANK#814
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
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DEP
—
DOC
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DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity66.64GitHub ↗
Docs Quality75Source ↗
HN Discourse2.26HN ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you want a Researcher-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
  • ▸Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
3 h ago
GitHub repository picked up new stars
23 h ago
GitHub repository picked up new stars
1 d ago
GitHub repository picked up new stars
1 d ago
GitHub repository picked up new stars
2 d ago
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SimpleMem vs openai-agents-python →SimpleMem vs CrewAI →SimpleMem vs OpenClaw Agents →
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