A local MCP server that enables AI agents to securely read, write, search, and edit JSON and Markdown files through a gated permission-scoped interface with configurable access modes.
Provides a file-first personal memory layer for AI agents, enabling them to store and retrieve memories as markdown files with an SQLite index. The MCP server offers read-only search by default, with optional write tools for manual memory addition and conflict resolution.
A stateless MCP server providing persistent, structured project memory for AI coding agents via a markdown folder. It allows agents to record decisions, plans, and notes, which are stored and synced with git.
An MCP server that enables verified agents to retrieve from, propose changes to, and share capabilities around a human-owned Markdown/Git knowledge base, ensuring curation, exact-byte approval, and Git-based promotion.
An MCP server that gives AI models a persistent notebook backed by a folder of Markdown files, with tools to discover, read, write, edit, and delete notes.