Archives posts from X into a local SQLite database and provides tools for semantic analysis and natural language search. It enables agents to manage low-cost data ingestion and retrieve relevant posts using local embeddings and topic labeling.
Enables AI agents to securely search, analyze, and draft posts grounded in a local X/Twitter archive, with encrypted storage, scoped tool access, and full audit logging.
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.
A local-first knowledge base server that enables AI clients to store, retrieve, and manage documents using semantic search. Provides privacy-focused, offline-capable memory for AI assistants with tools for ingesting, querying, updating, and deleting knowledge.
Enables AI agents to consume, validate, search, and author Open Knowledge Format v0.2 Markdown bundles locally, with optional multi-bundle federation, graph navigation, provenance inspection, and proposal-based updates.
Privacy-first personal knowledge database for your AI that ingests data exports (Google Takeout first) and exposes them via MCP tools like search and list items. Runs locally with no cloud or telemetry.
