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

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.

A programming framework for agentic AI

Fast, small, and fully autonomous AI personal assistant infrastructure, ANY OS, ANY PLATFORM — deploy anywhere, swap anything 🦀

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Autonomous agents for everyone

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

Agentic AI Framework for Java Developers

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

45 tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script, cutting the system prompt in half, using Gemini CLI as Claude Code's minion, and Claude Code running itself in a container. Also includes the dx plugin.

TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

A model-driven approach to building AI agents in just a few lines of code.

The easiest way to use Agentic RAG in any enterprise

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

AgentScope Java: Agent-Oriented Programming for Building LLM Applications