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neural-memory-mcp

v4.43.0

Published

Persistent memory for AI agents — 57 MCP tools, spreading activation recall, neuroscience-inspired consolidation. Works with Claude, GPT, Gemini.

Vulnerabilities

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Links

Git

Maintainers

vietnam11399vietnam11399

Keywords

mcpmodel-context-protocolaimemoryagentsclaudespreading-activationknowledge-graphpersistent-memoryneuroscience

Readme

neural-memory-mcp

Persistent memory for AI agents — 56 MCP tools, spreading activation recall, neuroscience-inspired consolidation.

Install

pip install neural-memory

Run as MCP server

npx neural-memory-mcp

Configure in Claude Code

Add to your .mcp.json:

{
  "mcpServers": {
    "neural-memory": {
      "command": "nmem-mcp",
      "args": []
    }
  }
}

Features

  • 56 MCP tools — remember, recall, consolidate, review, visualize, and more
  • Spreading activation recall — graph traversal, not vector similarity RAG
  • 10 neuroscience algorithms — Hebbian learning, hippocampal replay, lateral inhibition
  • Tiered memory — HOT/WARM/COLD with auto-tier promotion
  • 3 storage backends — SQLite, PostgreSQL, InfinityDB (Pro)
  • Cloud sync — Cloudflare Workers hub with encryption
  • 6100+ tests, Python 3.11+, MIT licensed

Links