SuperLocalMemory V3.3 is a local AI memory system that enables agents to remember information across sessions without relying on cloud services. It utilizes advanced mathematical techniques for memory management and retrieval.
From the registry: Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.

$ python --version$ npm install -g superlocalmemory && slm setupPlease install the `superlocalmemory` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Node.js 14+** — Node.js version 14 or newer required Run: `node -v` (https://nodejs.org/)
- **Python 3.11+** — Python 3.11+ required (auto-installed during npm install) Run: `python --version`
- **Initial setup** — Run npm install -g superlocalmemory && slm setup && slm doctor Run: `npm install -g superlocalmemory && slm setup`
Canonical MCP server config (stdio transport):
- command: `slm`
- args: ["mcp"]
Note: Zero-cloud persistent AI memory with 35 MCP tools. Run: npm install -g superlocalmemory && slm setup. Mode A (default): zero cloud, no API keys, 74.8% accuracy. Mode C: +cloud LLM, 87.7%. Adaptive lifecycle, smart compression, 6-channel retrieval. ~500MB for embedding model.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI Agents Framework with Self Reflection and MCP support