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 orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
MCP Toolbox for Databases enables your agent to connect to your database.
MCP Toolbox for Databases enables your agent to connect to your database.