Enables AI assistants to query local conversation transcripts and relationship data via a local MCP server, allowing retrieval of past conversations and facts about people.
A read-only MCP server that gives AI access to a local journal vault of transcribed handwritten diaries, offering tools to search entries, read them, and retrieve profile, timeline, and people information.
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?'.
An MCP server that provides tools for privacy-oriented context API including encrypted fact storage, commitment-based proofs, and semantic search, enabling users, AI agents, and back-office systems to securely manage and prove personal facts without exposing raw data.
A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.
Exposes a private social memory archive to AI assistants via MCP, enabling read-only queries about the user's posts, people, and preferences with tools like search, whoami, and timeline.