Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.
Git-native MCP server for managing AI context across sessions. Enables LLMs to access project and feature context via markdown files, preserving decisions and constraints.
Personal multi-LLM memory repository using Markdown as source of truth, SQLite FTS5 for retrieval, and MCP tools for search, context, and write proposals.
MCP server that gives AI coding agents a git-backed markdown wiki to read and update, enabling search, read, write, verify, ingest, promote, and lint operations on versioned knowledge documents with schema validation, staleness tracking, and contradiction detection.
A dynamic, governed memory layer for Markdown notes that serves knowledge to AI clients and humans through a secure MCP server, with scoped access, git-audited changes, and optional LLM-powered semantic search.
