A privacy-first personal context engine that ingests personal photos and message exports, extracts cited facts, and serves a queryable profile over MCP for natural-language questions like 'when did I last see Sarah?'.
A Model Context Protocol server that stores personal context as structured Markdown files with a knowledge graph, enabling AI agents to query identity, devices, servers, and projects on-demand.
Local, private memory layer for notes and files with temporal reasoning and citation. Enables agents to query and persist memories via the Model Context Protocol.
Provides a self-tending knowledge base for AI agents, automatically harvesting session transcripts into facts and state notes, and injecting relevant context into new sessions via MCP hooks.
A Model Context Protocol server that exposes personal data tools for Spotify listening history, movie ratings, and GitHub repos, enabling natural language queries from MCP clients.
