github search·aiming-lab-simplemem
aiming-lab/SimpleMem
aiming-lab/SimpleMem: Long-term memory is essential for LLM agents that operate across multiple sessions, yet existing memory systems treat retrieval infrastructure as fixed: stored content evolves while scoring functions, fusion strategies, and answer-generation policies remain frozen at deploymen...
AgentScore
27.2-0.14
-0.14 vs 24h ago
Adoption19.7
Quality0.0
Momentum50.1
Community47.5
Quality unrated · weight redistributed
CapabilitiesCode GenerationResearch
DeploymentIde Plugin
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars+0.2%3.5k→ 59.1
Pillar = mean of 1 scaled value = 19.7.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs, MCP registry listing
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Score envelope last computed 3h ago.