Five years of daily AI use. Your system won't feel it. Infinite memory for Claude Code, Cursor, Windsurf & 17+ AI tools.

SuperLocalMemory gives AI assistants persistent memory across sessions. v3.4.5 "Scale-Ready" — 1 million memories. Zero slowdown. No cloud. No APIs. No data leaves your machine.

Tiered storage auto-classifies every memory as active, warm, cold, or archived. Graph pruning removes redundant connections. Optional acceleration backends (CozoDB, LanceDB) for graph + vector operations. Tested on 1.18 million real graph edges with under 2-second recall. Migration is automatic: pip install -U superlocalmemory && slm restart. View details →

One npm install and your AI memory is fully automatic:

• Auto-recall at session start — your context is there before you ask
• Auto-observe during coding — decisions and changes captured silently
• Auto-save at session end — full summary with git context
• Zero setup — hooks install themselves, no config needed
• Zero risk — every hook fails silently, never blocks your workflow

SLM learns from your usage patterns and gets smarter over time — at zero token cost. Every recall generates learning signals. After 20+ signals, the system starts optimizing retrieval for YOUR specific patterns. After 200+, a full ML model trains on your data. No other memory system learns without spending LLM tokens. Read more →

npm install -g superlocalmemory # or: pip install superlocalmemory
slm setup # Choose mode A/B/C
slm warmup # Pre-download embedding model (optional)

That's it. Your AI now remembers you.