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
Universal memory layer for AI Agents
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.
Build multi-modal Agents with memory, knowledge and tools.
Long-term memory for AI Agents