by JasonDocton · Agent Tool · ★ 128
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Lucid Memory 2.7ms retrieval. 743,000 memories/second. $0/query. Memory for AI that works like yours—local, instant, persistent. 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</
| Stars | 128 |
| Forks | 7 |
| Language | TypeScript |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 37.25/100 |
| Open Issues | 2 |
| Last Updated | 2026-02-20 |
| Created | 2026-01-30 |
| Platforms | node |
| Est. Tokens | ~17067k |
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lucid-memory is Memory for AI that works like yours—local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG. Finds what RAG misses. Zero cloud, zero cost.. It is categorized as a Agent Tool with 128 GitHub stars.
lucid-memory is primarily written in TypeScript. It covers topics such as agent-memory, agentic-ai, ai.
You can find installation instructions and usage details in the lucid-memory GitHub repository at github.com/JasonDocton/lucid-memory. The project has 128 stars and 7 forks, indicating an active community.
lucid-memory is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
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