Get SuperLocalMemory running in under 5 minutes.

• Python 3.11+ (python3 --version)
• Node.js 14+ (only if installing via npm)
• Any supported IDE (Claude Code, Cursor, VS Code, Windsurf, etc.)

npm (recommended):

npm install -g superlocalmemory

pip:

pip install superlocalmemory

See Installation for git clone, platform-specific notes, and troubleshooting.

slm setup # Choose mode A/B/C, configure provider
slm warmup # Pre-download embedding model (~500MB, optional)

Modes:

• A — Zero cloud. Data never leaves your machine. EU AI Act compliant. (default)
• B — Local LLM via Ollama. Still fully private.
• C — Cloud LLM for maximum accuracy (87.7% on LoCoMo).

Switch anytime: slm mode a, slm mode b, slm mode c.

Store something:

slm remember "Our API uses JWT tokens with 24-hour expiry. Refresh tokens last 30 days."

Recall it later:

slm recall "JWT token expiry"

You should see the stored memory returned with a relevance score.

slm status # System info — mode, DB path, size
slm health # Math layer health — Fisher-Rao, Sheaf, Langevin stats

Auto-configure all detected IDEs:

slm connect # Configure all detected IDEs
slm connect --list # See which IDEs are configured

Or add manually to your IDE's MCP config:

{
 "mcpServers": {
 "superlocalmemory": {
 "command": "slm",
 "args": ["mcp"]
 }
 }
}

See IDE Setup for per-IDE instructions.

slm dashboard # Opens at http://localhost:8765

17 tabs: memory browser, knowledge graph, recall lab, trust scores, math health, compliance, and more. Runs locally — no data leaves your machine.

• Quick Start Tutorial — Step-by-step for new users and V2 upgraders
• Installation — Full guide with platform notes and troubleshooting
• Modes Explained — Understand the three operating modes
• CLI Reference — Full command reference
• IDE Setup — Configure additional IDEs
• Auto-Memory — How auto-capture works
• Migration from V2 — Upgrade guide for existing V2 users

Part of Qualixar | Created by Varun Pratap Bhardwaj