NeuralMemory is a tool that allows AI agents to store and recall memories using a graph-based approach, mimicking human brain functionality without relying on external databases or APIs.
From the registry: Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
$ pip install neural-memory$ nmem init --fullPlease install the `neural-memory` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.11+** — Python 3.11 or higher (https://www.python.org/)
- **Install neural-memory** — pip install neural-memory Run: `pip install neural-memory`
- **Initialize** — Run nmem init --full to set up the brain Run: `nmem init --full`
Canonical MCP server config (stdio transport):
- command: `nmem-mcp`
- args: []
Note: Local-first graph-based memory with spreading activation. No API calls, no vector DB. Free tier fully offline.
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.