An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone

Cool Papers - Immersive Paper Discovery

An agentic troubleshooting guide (TSG) automation framework for intelligent incident diagnosis. Automates troubleshooting procedures using multi-agent LLM coordination with DAG-based workflows, ena…

This repository hosts a collection of datasets for training and evaluating CUA / GUI agents.

A live stream development of RL tunning for LLM agents

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

UFO³: Weaving the Digital Agent Galaxy

Public repository for Agent Skills

The absolute trainer to light up AI agents.

Qianfan-VL: Domain-Enhanced Universal Vision-Language Models

🚀 The fast, Pythonic way to build MCP servers and clients

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Democratizing Reinforcement Learning for LLMs

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

Create and modify PDF documents in any JavaScript environment

Multi-agent collaboration framework

Roo Code gives you a whole dev team of AI agents in your code editor.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.

Just use pyecharts to imitate Echarts official example.

LLM-Ckpt-Explorer 是一个专为大语言模型（LLM）检查点文件设计的交互式命令行探索工具。它支持主流的训练框架（Megatron、HuggingFace 等）生成的模型检查点，提供直观的参数结构查看、统计分析和搜索功能，帮助研究人员和工程师深入理解模型架构和参数分布。

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.