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 local MCP server that semantically searches Markdown context files and extension context links, providing tools for context_search, context_read, and context_status.
MCP server that exposes project context, persistent memory, and agent identity via FAF formats, providing tools like context-aware callTool, remember/recall, and whoami through file-backed storage.
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.
Exposes a personal markdown-based second brain (Obsidian-style) as an MCP server, enabling agents to search, read, and write notes with privacy controls.