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 (88,583 stars, stable)
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without reb (152,593 stars, stable)
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server. (66,507 stars, stable)
Persistent Context Across Sessions for Every Agent โ Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Cla (90,879 stars, stable)
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu โ one CLI, zero API fees. (72,220 stars, stable)