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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
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
The batteries-included agent harness.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
Multi-Agent Harness for Production AI
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents
Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.