RAGFlow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
RAGFlow is a leading open-source RAG engine that combines deep document understanding with agent capabilities. It provides intelligent document parsing, chunking, embedding, and retrieval, with a built-in agent framework for complex reasoning workflows over your data.
More resources
Honcho
Memory library for building stateful AI agents. Continual learning and persistent memory management.
OpenViking
Context database for AI agents. File system paradigm for agent memory with self-evolving capabilities.
Supermemory
Memory engine and API for AI agents. Fast, scalable memory-as-a-service for persistent agent context.