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Awesome List
A curated list of awesome LLM frameworks, libraries and software.
GitHub stars and default-branch commits for uhub/awesome-llm.
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Promote a GitHub repo at the top of Awesome repository list views for 7 days.
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
21 Lessons, Get Started Building with Generative AI
🐙 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, MiniMax-H3, Gemma 4, FLUX and more.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
No description.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A modular graph-based Retrieval-Augmented Generation (RAG) system
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.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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?
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
✅(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】
Local, open-source AI app builder for power users ✨ v0 / Lovable / Replit / Bolt alternative 🌟 Star if you like it!
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
📋 A list of open LLMs available for commercial use.
Pocket Flow: Codebase to Tutorial
Access large language models from the command-line
The official GitHub page for the survey paper "A Survey of Large Language Models".
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
The best way to get AI coding agents to solve hard problems in complex codebases.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
An Open-Source Asynchronous Coding Agent
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!
Build effective agents using Model Context Protocol and simple workflow patterns
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Build autonomous AI agents in Python.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Run LLMs with MLX
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Play ChatGPT and other LLM with Xiaomi AI Speaker
Efficient Triton Kernels for LLM Training
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.
MaiSaka, an LLM-based intelligent agent, is a digital lifeform devoted to understanding you and interacting in the style of a real human. She does not pursue perfection, nor does she seek efficiency; instead, she values warmth, authenticity, and genuine connection.
A visual playground for agentic workflows: Iterate over your agents 10x faster
Implement a reasoning LLM in PyTorch from scratch, step by step
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x