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memmd-mcp

by matamong
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memmd-mcp

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PyPI License Python

A shared memory layer for AI agents — one memory.md synced across Claude Desktop, Cursor, Claude Code, OpenAI Codex, and any MCP client. Auto-deduplication, contradiction resolution, and stale cleanup included.

TIP

Why memmd?

  • One memory, every client — Claude Desktop, Cursor, Claude Code, OpenAI Codex share the same memory.md

  • Zero external dependencies beyond mcp — no embeddings, no API keys, fully offline

  • Deterministic, rule-based — no LLM calls for memory management

  • Human-readable memory.md — inspect and edit anytime

Features

  • Deduplication — fingerprint + Jaccard similarity merges near-identical entries

  • Contradiction resolution — detects conflicting facts, keeps latest, archives old

  • Structured categories — Work Context · Projects · Personal Preferences · Archive

  • Section-aware recall — filter by category, keyword search with scoring

  • Stale cleanup — auto-archives old, unused entries on summarize()

  • Korean support — category aliases, fact patterns (~는 ~), stopwords

Related MCP server: Mnemoverse Memory

Quick Start

Install and run

uvx memmd-mcp

Add to your MCP client

{
  "mcpServers": {
    "memmd": {
      "command": "uvx",
      "args": ["memmd-mcp"],
      "env": {
        "MEMMD_MEMORY_PATH": "/absolute/path/to/memory.md"
      }
    }
  }
}
NOTE

Config location by client:

  • Claude Desktop — ~/Library/Application Support/Claude/claude_desktop_config.json

  • Claude Code — .claude/settings.json or user settings

  • Cursor — ~/.cursor/mcp.json

  • OpenAI Codex — ~/.codex/config.toml

Tools

Tool

Description

remember(content, category?)

Store with auto-dedupe and contradiction merge

recall(query)

Search with keyword scoring and category filters

forget(id)

Delete by ID

summarize()

Category overview + stale entry cleanup

How It Works

remember

  • Dedupes by SHA-1 fingerprint and Jaccard similarity (>0.82)

  • Extracts facts from key: value, key = value, key is value, key는 value

  • On conflict: latest value wins, old entry archived with history

recall

  • Keyword search with token-overlap scoring

  • Filters: category:Projects API token, section:"Work Context" deploy

  • Korean aliases accepted (category:프로젝트)

summarize

  • Per-category summary of recent entries

  • Archives stale entries (default: >120 days, <3 accesses, no recent recall)

memory.md Format

# memory.md

<!-- memmd:version=1 -->

## Work Context
<!-- memmd-entry {...json...} -->
Memory content

## Projects
...

## Personal Preferences
...

## Archive
...

Environment Variables

Variable

Default

Description

MEMMD_MEMORY_PATH

./memory.md

Path to memory file

MEMMD_STALE_DAYS

120

Days before stale cleanup (min: 7)

License

MIT

Install Server
A
license - permissive license
B
quality
D
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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