Rag Framework Projects

LLM inference in C/C++

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

A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management. 🍥

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Port of OpenAI's Whisper model in C/C++

Build resilient agents.

Build Real-Time Knowledge Graphs for AI Agents

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

18 Lessons to Get Started Building AI Agents