AI/ML●●Solid
AI memory with biological decay (52% recall)
Ebbinghaus forgetting curve cuts token waste 84% while doubling recall versus Zep.
Big BrainShip It
SachitRafa
98531mo ago
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GitHub Repository
Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.
684 starsTypeScript
Hippo, biologically inspired memory for AI agents
by kitfunso·Apr 6, 2026·128 points·29 comments
AI Analysis
●●●BangerBig BrainZero to OneNiche Gem
Biological decay mechanics beat vector search for agent memory that actually forgets.
Strengths
- •Memory decay and strengthening model mimics human forgetting instead of storing everything
- •Portable markdown storage works across Claude Code, Cursor, and Codex without vendor lock-in
- •Explainable recall shows which terms matched and whether BM25 or embeddings contributed
Weaknesses
- •Requires Node.js 22.5+ which excludes some enterprise environments still on LTS
- •Optional embeddings need @xenova/transformers adding ~500MB for semantic search
Category
Target Audience
AI agent developers, multi-tool AI users (Claude Code, Cursor, Codex)
Similar To
Mem0 · LangChain Memory · Zep
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