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SuperLocalMemory V3

The first local-only AI memory to break 74% retrieval on LoCoMo. No cloud. No APIs. No data leaves your machine.

SuperLocalMemory gives AI assistants persistent memory across sessions. Install once, and your AI remembers your projects, preferences, decisions, and debugging history — forever.

Quick Start

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.

Three Operating Modes

Mode	What It Does	Cloud Required
A: Local Guardian	Zero cloud. Your data never leaves your machine. EU AI Act compliant. 74.8% on LoCoMo.	No
B: Smart Local	Local LLM via Ollama for answer synthesis. Still fully private.	No
C: Full Power	Cloud LLM for maximum accuracy (87.7% on LoCoMo).	Yes

Dashboard

V3 Dashboard Screenshots

Key Features

• Works in 17+ IDEs — Claude Code, Cursor, VS Code, Windsurf, Gemini CLI, JetBrains, and more
• 4-channel retrieval — Semantic + keyword + entity graph + temporal for maximum accuracy
• Mathematical foundations — Fisher-Rao similarity, sheaf consistency, Langevin lifecycle
• Trust scoring — Bayesian trust per agent and per fact
• EU AI Act compliant — Mode A satisfies data sovereignty by architecture
• 85% open-domain — highest of any system evaluated, including cloud-powered ones
• 1400+ tests — production-grade reliability
• Multi-profile — isolated memory contexts for work, personal, clients

Documentation

Page	What You'll Learn
Installation	Full install guide — npm, pip, git clone
Quick Start Tutorial	Step-by-step for new users and V2 upgraders
Getting Started	Install + first memory in 5 minutes
Modes Explained	A vs B vs C — which is right for you
CLI Reference	All 15 slm commands with examples
MCP Tools	All 24 MCP tools for IDE integration
IDE Setup	Per-IDE configuration guide
Migration from V2	Upgrade guide for existing users
Auto-Memory	How auto-capture and auto-recall work
Architecture Overview	How the system works
Mathematical Foundations	The math behind the memory
Compliance	EU AI Act, GDPR, retention policies
FAQ	Common questions answered

Research Papers

• V3 Paper: Information-Geometric Foundations for Agent Memory (arXiv) | Zenodo
• V2 Paper: Privacy-Preserving Multi-Agent Memory (arXiv)

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Part of Qualixar | Created by Varun Pratap Bhardwaj