Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
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1–24 of 59 · Most stars
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
21 Lessons, Get Started Building with Generative AI
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Learn how to develop, deploy and iterate on production-grade ML applications.
Your lightweight open-source personal agent.
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
No description provided by the repository host.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Self-hosted AI coding assistant
Build Real-Time Knowledge Graphs for AI Agents
An autonomous agent that conducts deep research on any data using any LLM providers
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Glamourous agentic coding for all 💘
🚀 The fast, Pythonic way to build MCP servers and clients.
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?