memo

jagoff/memo
★ 0 stars Python AI/LLM Updated 1d ago
Persistent semantic memory for AI agents — 100% local on Apple Silicon (MLX). Markdown source of truth + sqlite-vec hybrid search, with an MCP server and CLI. No cloud, no keys.
View on GitHub → Try with Claude — $10 free →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "memo": {
      "command": "uvx",
      "args": [
        "memo"
      ]
    }
  }
}

Or install with pip: pip install memo

README Excerpt

<div align="center"> **Persistent semantic memory for AI agents — 100% local, MLX-native, Apple Silicon.** </div> <!-- mcp-name: io.github.jagoff/memo --> `memo` gives any MCP-aware agent (Claude Code, Codex, Devin, OpenCode, Cursor, Cline, Continue, …) a long-term memory that **runs entirely on your Mac**. Each memory is a plain Markdown file in an Obsidian-friendly folder; embeddings live in a single sqlite file; the LLM, embedder, and reranker run **in-process via [Apple MLX](https://github.c

Topics

ai-agentsapple-siliconclaude-codelocal-firstmcpmcp-servermemorymlxmodel-context-protocolobsidianqwenragsqlite-vec