Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

A lightweight, lightning-fast, in-process vector database

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.