🧠High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
Enables persistent knowledge graph management with entities, observations, relations, temporal queries, and graph traversal via Model Context Protocol.
On-device memory layer with retrieval-augmented search, hooks, and MCP server for AI agents to persist and recall context across sessions without cloud dependencies.
Enables local structured extraction, classification, and summarization of text with automatic context management and caching, keeping data on your machine.
Enables local AI inference for Claude and Cursor through 22 APIs, including summarization, translation, review, classification, RAG, and more, with all data processed on-device.
A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
