An MCP server that gives AI assistants persistent memory across sessions. It stores project context, decisions, and progress in structured markdown files as well as a knowledge graph and sequential thinking for better memory storage.
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 self-hosted MCP server that gives AI agents shared, long-term memory over a git-backed folder of markdown, enabling persistent knowledge search, read, and write without a database.
Provides local-first, project-aware durable memory for coding agents, with a human-reviewed Markdown vault, MCP daemon, and dashboard for managing and retrieving shared knowledge.