Local-first ambient memory for Mac that captures screen content, indexes it on-device, and provides MCP tools for searching memory, timeline, and open tasks.
Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.
Provides zero-knowledge, local-first persistent memory for AI assistants with on-device embeddings, cross-platform capture, and zero-RTT semantic recall.
Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.
A local-first file intelligence engine that indexes documents, code, and email on your machine using on-device models, and exposes that memory to any AI assistant over MCP for semantic search and structured fact retrieval.
Gives any AI tool persistent, searchable memory across sessions using hybrid semantic and keyword search, running 100% locally with no API keys or cloud dependencies.