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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Make websites accessible for AI agents
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Comfortably monitor your Internet traffic 🕵️♂️
an open-source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
We don't need a lot of libraries. We just need the best ones. | Unofficial recommended first choice.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper
Open source Claude Artifacts – built with Llama 3.1 405B
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
Python APIs for web automation, testing, and bypassing bot-detection.
这是一个基于SpringBoot和Telegrambot-Api的多功能Telegram群管机器人，Powered By OpenAI And Google Cloud Vision。
Easily deploy your Telegram ChatGPT bot on Cloudflare Workers (or Vercel, Docker...).
🔗 Some useful websites for programmers.
scikit-learn: machine learning in Python
Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
A collection of various awesome lists for hackers, pentesters and security researchers
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用
100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
