ai-memory — Persistent Memory for Any AI

Name: ai-memory — Persistent Memory for Any AI
Author: alphaonedev

@alphaonedev

About ai-memory — Persistent Memory for Any AI

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories locally in SQLite, ranks by 6-factor scoring, returns results in TOON compact format (79% smaller than JSON). 17 MCP tools, 20 HTTP endpoints, 25 CLI commands. 4 tiers from keyword to autonomous

#mcp #memory #ai #sqlite #rust #llm #embeddings #vector-search #cli #knowledge-management #local-first #open-source #claude #chatgpt #cursor #ollama

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "memory": {
      "command": "ai-memory",
      "args": [
        "--db",
        "~/.claude/ai-memory.db",
        "mcp",
        "--tier",
        "semantic"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is ai-memory?

ai-memory is a persistent memory system for AI assistants that uses zero context tokens until recall. It returns only relevant memories using six-factor scoring and TOON format, reducing response size by 79% compared to JSON. It is designed for use with multiple AI platforms including Claude, Codex, Gemini, and others.

How to use ai-memory?

Install ai-memory via cargo install ai-memory. Then use its 17 MCP tools such as memory_store, memory_recall, memory_search, and memory_list. The default tier is semantic; you can switch to keyword, smart (with Ollama), or autonomous (with Ollama) as needed.

Key features of ai-memory

Zero token cost until memory_recall is called
TOON format responses are 79% smaller than JSON
Six

Comments

More Memory & Knowledge MCP servers

Dash Api Docs Mcp Server

Kapeli

MCP server for Dash, the macOS API documentation browser

167

Notion MCP Server

makenotion

Official Notion MCP Server

4.5K

RAG Documentation MCP Server

hannesrudolph

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

267

mcp-local-rag

nkapila6

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

128

Jupyter Notebook MCP Server (for Cursor)

jbeno

Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files

157