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

A programming framework for agentic AI

DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

Autonomous agents for everyone

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

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

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

CTTF: MCP integration between Cursor and Figma, allowing Cursor Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

The easiest way to use Agentic RAG in any enterprise

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

Seamlessly integrate LLMs as Python functions

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

KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Awesome list of 300+ agentic AI resources

Low code tool to rapidly build and coordinate multi-agent teams

Autonomous Agents (LLMs) research papers. Updated Daily.

TypeScript AI AI Function Calling Framework enhanced by compiler skills.

Hexabot is an open-source AI chatbot / agent builder. It allows you to create and manage multi-channel and multilingual chatbots / agents with ease.

Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.