Stars
Elevate your AI research writing, no more tedious polishing ✨
Open-source, self-hosted note-taking tool built for quick capture. Markdown-native, lightweight, and fully yours.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
An agentic skills framework & software development methodology that works.
📘 Home Assistant User documentation
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
A framework for efficient model inference with omni-modality models
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
结合知识库管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain v1 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
The ultimate training toolkit for finetuning diffusion models
Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!
Open Source AI Platform - AI Chat with advanced features that works with every LLM
Gin is a high-performance HTTP web framework written in Go. It provides a Martini-like API but with significantly better performance—up to 40 times faster—thanks to httprouter. Gin is designed for …
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Free and Open Source, Distributed, RESTful Search Engine
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
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
Awesome-RAG: Collect typical RAG papers and systems.