Stars
Fast, small, and fully autonomous AI personal assistant infrastructure, ANY OS, ANY PLATFORM — deploy anywhere, swap anything 🦀
A dingtalk bot channel plugin for clawdbot
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
12 Lessons to Get Started Building AI Agents
♏ 一款浏览器端的 Markdown 编辑器，支持所见即所得（富文本）、即时渲染（类似 Typora）和分屏预览模式。An In-browser Markdown editor, support WYSIWYG (Rich Text), Instant Rendering (Typora-like) and Split View modes.
Official Python SDK for the Agent2Agent (A2A) Protocol
Build effective agents using Model Context Protocol and simple workflow patterns
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
[READ-ONLY] A collection of prompts for enhancing productivity with large language models.
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Build Real-Time Knowledge Graphs for AI Agents
A lightweight LMM-based Document Parsing Model
很多镜像都在国外。比如 gcr 。国内下载很慢，需要加速。致力于提供连接全世界的稳定可靠安全的容器镜像服务。
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Supercharge Your LLM Application Evaluations 🚀
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
The official Python SDK for Model Context Protocol servers and clients