Open highlighted repo slot
Put your repository first
Promote a GitHub repo at the top of Awesome repository list views for 7 days.
Awesome List
A curated list of awesome LLM frameworks, libraries and software.
GitHub stars and default-branch commits for uhub/awesome-llm.
Open highlighted repo slot
Promote a GitHub repo at the top of Awesome repository list views for 7 days.
Incremental engine for long horizon agents 🌟 Star if you like it!
Connect your users to their apps
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Production ready toolkit to run AI locally
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
High-speed Large Language Model Serving for Local Deployment
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Automate your mobile devices with natural language commands - an LLM agnostic mobile Agent 🤖
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Parsel, BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
the LLM vulnerability scanner
The programming language for agents
Running large language models on a single GPU for throughput-oriented scenarios.
📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
The Open Standard for Generative UI
TypeChat is a library that makes it easy to build natural language interfaces using types.
Build effective agents using Model Context Protocol and simple workflow patterns
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Accessible large language models via k-bit quantization for PyTorch.
slime is an LLM post-training framework for RL Scaling.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.
Repo to accompany my mastering LLM engineering course
Fast, flexible LLM inference
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
AutoClip : AI-powered video clipping and highlight generation · 一款智能高光提取与剪辑的二创工具
Run LLMs with MLX
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Memory library for building stateful agents
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.