The official Ollama Docker image ollama/ollama is available on Docker Hub.
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A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
#327 · +127 · 1d ·GitHub
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
#345 · +120 · 1d ·GitHub
> Prefer to Clone Locally? > > This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout: > > Bash / macOS / Linux: >
#383 · +109 · 1d ·GitHub
NOTE] > Based on this course, I co-wrote the LLM Engineer's Handbook, a hands-on book that covers an end-to-end LLM application from design to deployment. The LLM course will always stay free, but you can support my work by purchasing this book.
#397 · +105 · 1d ·GitHub
Open WebUI is a home for AI, a self-hosted AI platform that's extensible, feature-rich, user-friendly, and built to run entirely offline.
12 · NVIDIA GPU with BF16 support and 24 GB VRAM. YuE2 produces 48 kHz stereo audio without quantization. Model files download from Hugging Face on first use.
Local UI to run and train LLMs and diffusion models. 8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
#809 · +44 · 1d ·GitHub
Model fingerprint detection with a shared Web and Bun CLI reference bank
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Built on Agent OS, we will be launching out-of-box QwenPaw applications — such as QwenPaw Creator and QwenPaw Insight — stay tuned. 0 Release Notes →
#950 · +36 · 1d ·GitHub
Every notebook can be opened and run on Google Colab directly from the links below. Just click the Open In Colab badge next to the notebook you want to run.
#987 · +34 · 1d ·GitHub
Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.
NOTE] > We're Hiring! Build context graphs that power reliable, personalized, fast production AI agents. > Come build with us — we're hiring Engineers and Developer Relations folks.
#1100 · +30 · 1d ·GitHub
A community-driven hub of 42+ runnable notebooks covering RAG techniques from foundational to cutting-edge - the intuition, the code, and the references to build more accurate, context-rich retrieval systems.
#1240 · +26 · 1d ·GitHub
GPT Researcher the first open deep research agent designed for both web and local research on any given task.
#1371 · +23 · 1d ·GitHub
AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience.
Local, open-source AI app builder for power users ✨ v0 / Lovable / Replit / Bolt alternative 🌟 Star if you like it!
Arize Phoenix is Arize's open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. For managed production workflows, Arize also offers Arize AX. Phoenix provides:
crush, which is the most up-to-date way to get Crush in Nix.
#1609 · +19 · 1d ·GitHub
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
#1666 · +18 · 1d ·GitHub
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
#1726 · +17 · 1d ·GitHub
Generative AI is moving fast, and this repository is a comprehensive hub for generative AI research, courses, interview materials, notebooks, and more. Everything is now organized around one question: what do you want to do?
The Model Context Protocol (MCP) connects LLMs to tools and data. FastMCP is a full MCP application framework for servers, clients, and interactive apps. A server starts with ordinary Python:
AI联网搜索、文件解析及网页内容抓取等智能体核心能力提供商： 安思派开放平台(Anspire Open)是面向智能体时代的领先的基础设施提供商。我们为开发者提供构建强大智能体所需的核心能力栈，现已上线AI联网搜索【多版本，极具竞争力的价格】、文件解析【限免】及网页内容抓取【限免】、云端浏览器自动化（Anspire Browser Agent）【内测】、多轮改写等服务，持续为智能体连接并操作复杂的数字世界提供坚实基础。可无缝集成至Dify、Coze、元器等主流智能体平台。通过透明点数计费体系与模块化设计，为企业提供高效、低成本的定制化支持，加速智能化升级…
✅（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】
#2067 · +13 · 1d ·GitHub
We advise to run all examples through Google Colab for the easiest setup. Google Colab allows you to use a T4 GPU with 16GB of VRAM for free. All examples were mainly built and tested using Google Colab, so it should be the most stable platform.
#2171 · +12 · 1d ·GitHub
In this course, we'll go from experimentation (design + development) to production (deployment + iteration). We'll do this iteratively by motivating the components that will enable us to build a reliable production system.
WARNING] > GraphRAG is a research project that explores the functional use of graphs to form a targeted context for question answering.