RAGFlow is an open-source retrieval-augmented generation (RAG) engine that combines advanced document processing, vector search, and agentic AI capabilities into a unified platform. With 78.3k+ GitHub stars and active development, RAGFlow has become the go-to choice for enterprises building production-grade AI applications that require grounded, traceable, and reliable answers.
Firecrawl is the infrastructure layer that powers AI agents with clean, structured web data. With 110k+ GitHub stars and active development, it's become the go-to solution for developers building AI applications that need reliable access to real-time web information. Whether you're building autonomous research agents, lead
Discover Hermes Agent, the open-source autonomous AI framework by Nous Research that learns, grows, and automates tasks across 15+ platforms with 87.6k+ GitHub stars.
OpenAI Swarm is an educational framework for building lightweight, scalable multi-agent systems that prioritize ergonomic design and ease of testing. With 21.3k GitHub stars and active community engagement, Swarm represents OpenAI's approach to agent coordination through simple primitives: agents and handoffs. Unlike heavyweight orchestration frameworks, Swarm runs