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rwnalds/engram

by Various

Self-hosted MCP server + dashboard giving Claude Code, Cursor & Hermes agents shared long-term memory over a git-backed markdown vault. Agent-native, Obsidian-compatible second bra

R

MCP

rwnalds/engram

Added 13 July 2026

#agent-memory #ai-agents #anthropic #claude-code #cursor #git #knowledge-base #knowledge-graph

Overview

A self-hosted MCP server and dashboard that gives Claude Code, Cursor, and Hermes agents shared long-term memory over a git-backed markdown vault. It uses markdown RAG without a vector database and is compatible with Obsidian.

Best for

Best for
Developers who want a simple, self-hosted memory layer for multiple AI agents

Use cases

  • Give Claude Code persistent memory across sessions
  • Share context between Cursor and Hermes agents
  • Maintain a git-versioned knowledge base for agents

How to use

Install

bun install && bun dev

Tools exposed

  • bun

Tested with

Claude Code, Codex, Hermes, openclaw, Cursor, Cline, Windsurf, Claude Desktop

Notes

A self-hosted MCP server and dashboard that gives Claude Code, Cursor, and Hermes agents shared long-term memory over a git-backed markdown vault. It uses markdown RAG without a vector database and is compatible with Obsidian.

3 stars on GitHub. Last updated 2026-07-13. Licensed MIT.

Use cases

  • Give Claude Code persistent memory across sessions
  • Share context between Cursor and Hermes agents
  • Maintain a git-versioned knowledge base for agents

Pros

  • Self-hosted gives full control over data and privacy
  • No vector database reduces infrastructure complexity
  • Git-backed vault provides versioning and rollback

Cons

  • Low star count (3) indicates early stage or limited adoption
  • Requires self-hosting and ongoing maintenance
  • Markdown RAG may be less performant than vector search for large datasets

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Self-hosted gives full control over data and privacy
  • No vector database reduces infrastructure complexity
  • Git-backed vault provides versioning and rollback

Cons

  • Low star count (3) indicates early stage or limited adoption
  • Requires self-hosting and ongoing maintenance
  • Markdown RAG may be less performant than vector search for large datasets
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