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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
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.
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.
CTTF: MCP integration between Cursor AI and Figma, allowing Cursor to communicate with Figma like agentic ai for reading designs and modifying them programmatically.
A model-driven approach to building AI agents in just a few lines of code.
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.
Low code tool to rapidly build and coordinate multi-agent teams
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
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.
