A local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to semantically search past conversations.
A local-first, privacy-first MCP server that passively indexes personal digital activity (screenshots, clipboard, notes, downloads, links) into a local database, enabling LLMs like Claude to access your context without cloud storage.
A local-first memory MCP server that enables storing, searching, and managing personal memories with hybrid keyword and semantic recall, all on-device.
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.
Local-first MCP server that turns project documentation and source code into durable, evidence-backed context for AI agents, with bounded retrieval and explicit gap reporting.