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SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
A lightweight, powerful framework for multi-agent workflows
《Agentic Design Patterns》中文翻译版
The ultimate LLM/AI application development framework in Golang.
Pytorch Lightning Implement of Generative Recommenders
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
This repository contains implementations and illustrative code to accompany DeepMind publications
Build resilient language agents as graphs.
No fortress, purely open ground. OpenManus is Coming.
The Multi-Agent Framework, Runtime, and Control Plane. Build AI products that run in your cloud.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Production-ready platform for agentic workflow development.
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
Personal CRM. Remember everything about your friends, family and business relationships.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
A toolkit for developing and comparing reinforcement learning algorithms.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
C++ Parallel Computing and Asynchronous Networking Framework
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.