# Lucid Memory **2.7ms retrieval. 743,000 memories/second. $0/query.** Memory for AI that works like yours—local, instant, persistent. ```bash curl -fsSL https://lucidmemory.dev/install | bash ```

_{Works with Claude Code, OpenAI Codex & OpenCode · macOS & Linux · Windows instructions}

**New in 0.6.0:** Memory Consolidation — Lucid Memory is now self-maintaining. Background consolidation strengthens recent memories, decays stale ones, prunes weak associations, and manages visual memory lifecycle. New memories are checked against existing traces — similar content reinforces or updates rather than duplicating. 307 tests, 0 tsc errors. **New in 0.5.0:** Episodic Memory — Claude remembers not just what happened, but how it unfolded — reconstructing the story of your debugging session, not just the fix. "What was I working on before the auth refactor?" now has an answer. --- ## Why Lucid Memory? **We're not a vector database. We're the retrieval layer that makes vector databases obsolete for AI memory.** Pinecone stores vectors. We understand context.

	Lucid Memory	Claude-mem	Pinecone RAG	Traditional RAG
Retrieval Speed	✅ 2.7ms	~50ms	10-50ms	200-800ms
Token Efficiency	✅ 5x	1x (baseline)	2.5x	~2x
Recall @ Fixed Budget	✅ 82.5%	28.9%	55.3%	~50%
Storage Compression	✅ 5x (80% smaller)	1x	1x	1x

Topics: vector-embeddings

JasonDocton/lucid-memory