Starred repositories
为 A股投资者打造的全球产业链资讯看板 · 12 大赛道一一对应 A股板块(半导体/AI/机器人/新能源车…)，覆盖 100+ 权威源，用你自己的大模型每日提炼中文「今日要点」+ 翻译 · 全程本地、零 API key · Local AI news dashboard tracking the global industry signals behind China A-share sec…
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
The agent that grows with you
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构…
An agentic skills framework & software development methodology that works.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
⛰️A General Hill-climbing AI harness that helps you move from Current State to Ideal State in both Life and Work.
Elegant reading of real-time and hottest news
D2X | Modern C++ Core Language Features - "A C++ tutorial project focused on practical"
Universal package infrastructure with OS-like SubOS isolation - Multi-version · Rootless · Decentralized Index · Agent-ready.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
全网最全-2025年AI领域最值得关注的两百位博主和一手信息源盘点
Lets make video diffusion practical!
💯2026年 系统架构设计师（软考高级）备考资源库+配套免费刷题软件。
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
FlagScale is a large model toolkit based on open-sourced projects.
FlagGems is an operator library for large language models implemented in the Triton Language.
A collection of memory efficient attention operators implemented in the Triton language.
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
这个仓库主要是收集CoW(chatgpt-on-wechat)与DoW(dify-on-wechat)的插件，欢迎补充加入看到、用过或新开发的插件。
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation