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awesome-LLM-resources

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汇总全球优质大模型学习资料，覆盖多模态生成、Agent、辅助编程、模型训练与推理、RAG 等方向，帮开发者快速找到教程、课程和实战资源。

🧑‍🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

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大模型资源多模态生成Agent模型训练RAG
对比 GitHubawesome-listbookcourselarge-language-modelsllama

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一份持续更新的 LLM 资源清单，帮工程师快速找到数据、微调、推理、Agent 等各环节值得用的开源项目

汇总全球优质大模型学习资料，覆盖多模态生成、Agent、辅助编程、模型训练与推理、RAG 等方向，帮开发者快速找到教程、课程和实战资源。

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  • 按数据、微调、推理、评估、RAG、Agent 等环节分类索引项目
  • 收录多模态生成、辅助编程、AI 审稿、小语言模型等专题资源
  • 汇总书籍、课程、教程、论文与社区等学习材料
  • 标注推荐与热门条目，便于快速筛选

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    目录

    推荐 Suggestion

    Podcast

    数据 Data

    [!NOTE]

    此处命名为数据，但这里并没有提供具体数据集，而是提供了处理获取大规模数据的方法

    1. AotoLabel: Label, clean and enrich text datasets with LLMs.
    2. LabelLLM: The Open-Source Data Annotation Platform.
    3. data-juicer: A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs!
    4. OmniParser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
    5. MinerU (🔥): MinerU is a one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.
    6. PDF-Extract-Kit: A Comprehensive Toolkit for High-Quality PDF Content Extraction.
    7. Parsera: Lightweight library for scraping web-sites with LLMs.
    8. Sparrow: Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images.
    9. Docling: Get your documents ready for gen AI.
    10. GOT-OCR2.0: OCR Model.
    11. LLM Decontaminator: Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.
    12. DataTrove: DataTrove is a library to process, filter and deduplicate text data at a very large scale.
    13. llm-swarm: Generate large synthetic datasets like Cosmopedia.
    14. Distilabel: Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
    15. Common-Crawl-Pipeline-Creator: The Common Crawl Pipeline Creator.
    16. Tabled: Detect and extract tables to markdown and csv.
    17. Zerox: Zero shot pdf OCR with gpt-4o-mini.
    18. DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception.
    19. TensorZero: make LLMs improve through experience.
    20. Promptwright: Generate large synthetic data using a local LLM.
    21. pdf-extract-api: Document (PDF) extraction and parse API using state of the art modern OCRs + Ollama supported models.
    22. pdf2htmlEX: Convert PDF to HTML without losing text or format.
    23. Extractous: Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
    24. MegaParse: File Parser optimised for LLM Ingestion with no loss.
    25. MarkItDown: Python tool for converting files and office documents to Markdown.
    26. datasketch: datasketch gives you probabilistic data structures that can process and search very large amount of data super fast, with little loss of accuracy.
    27. semhash: lightweight and flexible tool for deduplicating datasets using semantic similarity.
    28. ReaderLM-v2: a 1.5B parameter language model that converts raw HTML into beautifully formatted markdown or JSON.
    29. Bespoke Curator: Data Curation for Post-Training & Structured Data Extraction.
    30. LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). Extracts signals from prompts & responses, ensuring safety & security.
    31. Curator: Synthetic Data curation for post-training and structured data extraction.
    32. olmOCR: A toolkit for training language models to work with PDF documents in the wild.
    33. Easy Dataset (🔥): A powerful tool for creating fine-tuning datasets for LLM.
    34. BabelDOC: PDF scientific paper translation and bilingual comparison library.
    35. Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting.
    36. EasyDistill: Easy Knowledge Distillation for Large Language Models.
    37. ContextGem: a free, open-source LLM framework that makes it radically easier to extract structured data and insights from documents.
    38. OCRFlux: a lightweight yet powerful multimodal toolkit that significantly advances PDF-to-Markdown conversion, excelling in complex layout handling, complicated table parsing and cross-page content merging.
    39. DataFlow: Easy Data Preparation with latest LLMs-based Operators and Pipelines.
    40. DatasetLoom (multimodal): 一个面向多模态大模型训练的智能数据集构建与评估平台.
    41. Logics-Parsing
    42. DeepSeek-OCR
    43. PaddleOCR-VL
    44. Chandra: a highly accurate OCR model that converts images and PDFs into structured HTML/Markdown/JSON while preserving layout information.
    45. HunyuanOCR: a leading end-to-end OCR expert VLM powered by Hunyuan's native multimodal architecture.
    46. DeepSeek-OCR-2: Visual Causal Flow.
    47. PaddleOCR-VL-1.5 (🔥): Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing.
    48. GLM-OCR: a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture.

    微调 Fine-Tuning

    1. LLaMA-Factory (🔥): Unify Efficient Fine-Tuning of 100+ LLMs.
    2. 360-LLaMA-Factory: Unify Efficient Fine-Tuning of 100+ LLMs. (add Sequence Parallelism for supporting long context training)
    3. unsloth (🔥): 2-5X faster 80% less memory LLM finetuning.
    4. TRL: Transformer Reinforcement Learning.
    5. Firefly: Firefly: 大模型训练工具，支持训练数十种大模型
    6. Xtuner: An efficient, flexible and full-featured toolkit for fine-tuning large models.
    7. torchtune: A Native-PyTorch Library for LLM Fine-tuning.
    8. Swift: Use PEFT or Full-parameter to finetune 200+ LLMs or 15+ MLLMs.
    9. AutoTrain: A new way to automatically train, evaluate and deploy state-of-the-art Machine Learning models.
    10. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework (Support 70B+ full tuning & LoRA & Mixtral & KTO).
    11. Ludwig: Low-code framework for building custom LLMs, neural networks, and other AI models.
    12. mistral-finetune: A light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models.
    13. aikit: Fine-tune, build, and deploy open-source LLMs easily!
    14. H2O-LLMStudio: H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs.
    15. LitGPT: Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.
    16. LLMBox: A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.
    17. PaddleNLP: Easy-to-use and powerful NLP and LLM library.
    18. workbench-llamafactory: This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.
    19. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral).
    20. TinyLLaVA Factory: A Framework of Small-scale Large Multimodal Models.
    21. LLM-Foundry: LLM training code for Databricks foundation models.
    22. lmms-finetune: A unified codebase for finetuning (full, lora) large multimodal models, supporting llava-1.5, qwen-vl, llava-interleave, llava-next-video, phi3-v etc.
    23. Simplifine: Simplifine lets you invoke LLM finetuning with just one line of code using any Hugging Face dataset or model.
    24. Transformer Lab: Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
    25. Liger-Kernel: Efficient Triton Kernels for LLM Training.
    26. ChatLearn: A flexible and efficient training framework for large-scale alignment.
    27. nanotron: Minimalistic large language model 3D-parallelism training.
    28. Proxy Tuning: Tuning Language Models by Proxy.
    29. Effective LLM Alignment: Effective LLM Alignment Toolkit.
    30. Autotrain-advanced
    31. Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
    32. Vision-LLM Alignemnt: This repository contains the code for SFT, RLHF, and DPO, designed for vision-based LLMs, including the LLaVA models and the LLaMA-3.2-vision models.
    33. finetune-Qwen2-VL: Quick Start for Fine-tuning or continue pre-train Qwen2-VL Model.
    34. Online-RLHF: A recipe for online RLHF and online iterative DPO.
    35. InternEvo: an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.
    36. veRL (🔥): Volcano Engine Reinforcement Learning for LLM.
    37. Axolotl: Axolotl is designed to work with YAML config files that contain everything you need to preprocess a dataset, train or fine-tune a model, run model inference or evaluation, and much more.
    38. Oumi: Everything you need to build state-of-the-art foundation models, end-to-end.
    39. Kiln: The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.
    40. DeepSeek-671B-SFT-Guide: An open-source solution for full parameter fine-tuning of DeepSeek-V3/R1 671B, including complete code and scripts from training to inference, as well as some practical experiences and conclusions.
    41. MLX-VLM: MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
    42. RL-Factory: Train your Agent model via our easy and efficient framework.
    43. RM-Gallery: A One-Stop Reward Model Platform.
    44. ART: rain multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training.
    45. LMMs-Engine: A simple, any-to-any modality framework for pretraining and finetuning. Lean, flexible, and built for research.
    46. dLLM: a library that unifies the training and evaluation of diffusion language models, bringing transparency and reproducibility to the entire development pipeline. diffusion
    47. Miles: an enterprise-facing reinforcement learning framework for large-scale MoE post-training and production workloads.
    48. Skills: a collection of pipelines to improve "skills" of large language models (LLMs).
    49. Twinkle: a lightweight, client-server training framework engineered with modular, high-cohesion interfaces.
    50. NeMo AutoModel: Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support.
    51. VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.
    52. Soup: One-config CLI for LLM post-training (SFT/DPO/GRPO/KTO/ORPO). Layer streaming trains an 8B model on a 4 GB laptop GPU by streaming the frozen base from host RAM one decoder layer at a time.

    Agentic RL

    推理 Inference

    1. ollama (🔥): Get up and running with Llama 3, Mistral, Gemma, and other large language models.
    2. Open WebUI: User-friendly WebUI for LLMs (Formerly Ollama WebUI).
    3. Text Generation WebUI: A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
    4. Xinference: A powerful and versatile library designed to serve language, speech recognition, and multimodal models.
    5. LangChain: Build context-aware reasoning applications.
    6. LlamaIndex: A data framework for your LLM applications.
    7. lobe-chat: an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers, Multi-Modals (Vision/TTS) and plugin system.
    8. TensorRT-LLM: TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
    9. vllm (🔥): A high-throughput and memory-efficient inference and serving engine for LLMs.
    10. LlamaChat: Chat with your favourite LLaMA models in a native macOS app.
    11. NVIDIA ChatRTX: ChatRTX is a demo app that lets you personalize a GPT large language model (LLM) connected to your own content—docs, notes, or other data.
    12. LM Studio (🔥): Discover, download, and run local LLMs.
    13. chat-with-mlx: Chat with your data natively on Apple Silicon using MLX Framework.
    14. LLM Pricing: Quickly Find the Perfect Large Language Models (LLM) API for Your Budget! Use Our Free Tool for Instant Access to the Latest Prices from Top Providers.
    15. Open Interpreter: A natural language interface for computers.
    16. Chat-ollama: An open source chatbot based on LLMs. It supports a wide range of language models, and knowledge base management.
    17. chat-ui: Open source codebase powering the HuggingChat app.
    18. MemGPT: Create LLM agents with long-term memory and custom tools.
    19. koboldcpp: A simple one-file way to run various GGML and GGUF models with KoboldAI's UI.
    20. LLMFarm: llama and other large language models on iOS and MacOS offline using GGML library.
    21. enchanted: Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
    22. Flowise: Drag & drop UI to build your customized LLM flow.
    23. Jan: Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM).
    24. LMDeploy: LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
    25. RouteLLM: A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!
    26. MInference: About To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 while maintaining accuracy.
    27. Mem0: The memory layer for Personalized AI.
    28. SGLang (🔥): SGLang is yet another fast serving framework for large language models and vision language models.
    29. AirLLM: AirLLM optimizes inference memory usage, allowing 70B large language models to run inference on a single 4GB GPU card without quantization, distillation and pruning. And you can run 405B Llama3.1 on 8GB vram now.
    30. LLMHub: LLMHub is a lightweight management platform designed to streamline the operation and interaction with various language models (LLMs).
    31. YuanChat
    32. LiteLLM (🔥): Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, Groq etc.]
    33. GuideLLM: GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs).
    34. LLM-Engines: A unified inference engine for large language models (LLMs) including open-source models (VLLM, SGLang, Together) and commercial models (OpenAI, Mistral, Claude).
    35. OARC: ollama_agent_roll_cage (OARC) is a local python agent fusing ollama llm's with Coqui-TTS speech models, Keras classifiers, Llava vision, Whisper recognition, and more to create a unified chatbot agent for local, custom automation.
    36. g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains.
    37. MemoryScope: MemoryScope provides LLM chatbots with powerful and flexible long-term memory capabilities, offering a framework for building such abilities.
    38. OpenLLM: Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.
    39. Infinity: The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense embedding, sparse embedding, tensor and full-text.
    40. optillm: an OpenAI API compatible optimizing inference proxy which implements several state-of-the-art techniques that can improve the accuracy and performance of LLMs.
    41. LLaMA Box: LLM inference server implementation based on llama.cpp.
    42. ZhiLight: A highly optimized inference acceleration engine for Llama and its variants.
    43. DashInfer: DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures.
    44. LocalAI: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required.
    45. ktransformers: A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations.
    46. SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 14+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
    47. Chitu: High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
    48. TokenSwift: From Hours to Minutes: Lossless Acceleration of Ultra Long Sequence Generation.
    49. Cherry Studio (🔥): a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.
    50. Shimmy: Python-free Rust inference server — OpenAI-API compatible. GGUF + SafeTensors, hot model swap, auto-discovery, single binary.
    51. LlamaBarn: Run local LLMs on your Mac with a simple menu bar app.
    52. Parallax: a distributed model serving framework that lets you build your own AI cluster anywhere.
    53. xLLM: A high-performance inference engine for LLMs, optimized for diverse AI accelerators.
    54. Rapid-MLX: OpenAI-compatible local LLM inference server for Apple Silicon, 2-4x faster than Ollama.
    55. TokenSpeed: a speed-of-light LLM inference engine designed for agentic workloads, with TensorRT-LLM-level performance and vLLM-level usability. Our goal is to be the most performant inference engine for production agentic workloads.
    56. FreeToken: Unlock datacenter-class intelligence on the hardware you already own.
    57. NInfer: High-performance single-GPU inference for selected model checkpoints and GPUs.

    评估 Evaluation

    1. lm-evaluation-harness: A framework for few-shot evaluation of language models.
    2. opencompass (🔥): OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
    3. llm-comparator: LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed.
    4. EvalScope (🔥)
    5. Weave: A lightweight toolkit for tracking and evaluating LLM applications.
    6. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures.
    7. Evaluation guidebook: If you've ever wondered how to make sure an LLM performs well on your specific task, this guide is for you!
    8. Ollama Benchmark: LLM Benchmark for Throughput via Ollama (Local LLMs).
    9. VLMEvalKit: Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks.
    10. AGI-Eval
    11. EvalScope: A streamlined and customizable framework for efficient large model evaluation and performance benchmarking.
    12. DeepEval: a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems.
    13. Lighteval: Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends.
    14. QwQ/eval: QwQ is the reasoning model series developed by Qwen team, Alibaba Cloud.
    15. Evalchemy: A unified and easy-to-use toolkit for evaluating post-trained language models.
    16. MathArena: Evaluation of LLMs on latest math competitions.
    17. YourBench: A Dynamic Benchmark Generation Framework.
    18. MedEvalKit: A Unified Medical Evaluation Framework.
    19. OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards.

    体验 Usage

    1. LM Arena
    2. Design Arena
    3. Vals AI evaluation
    4. 蚂蚁数科

    知识库 RAG

    1. AnythingLLM: The all-in-one AI app for any LLM with full RAG and AI Agent capabilites.
    2. MaxKB: 基于 LLM 大语言模型的知识库问答系统。开箱即用，支持快速嵌入到第三方业务系统
    3. RAGFlow: An open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
    4. Dify: 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 you quickly go from prototype to production.
    5. FastGPT: A knowledge-based platform built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization.
    6. Langchain-Chatchat: 基于 Langchain 与 ChatGLM 等不同大语言模型的本地知识库问答
    7. QAnything: Question and Answer based on Anything.
    8. Quivr: A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.
    9. RAG-GPT: RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
    10. Verba: Retrieval Augmented Generation (RAG) chatbot powered by Weaviate.
    11. FlashRAG: A Python Toolkit for Efficient RAG Research.
    12. GraphRAG: A modular graph-based Retrieval-Augmented Generation (RAG) system.
    13. LightRAG: LightRAG helps developers with both building and optimizing Retriever-Agent-Generator pipelines.
    14. GraphRAG-Ollama-UI: GraphRAG using Ollama with Gradio UI and Extra Features.
    15. nano-GraphRAG: A simple, easy-to-hack GraphRAG implementation.
    16. RAG Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
    17. ragas: Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines.
    18. kotaemon: An open-source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind.
    19. RAGapp: The easiest way to use Agentic RAG in any enterprise.
    20. TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text.
    21. LightRAG: Simple and Fast Retrieval-Augmented Generation.
    22. TEN: the Next-Gen AI-Agent Framework, the world's first truly real-time multimodal AI agent framework.
    23. AutoRAG: RAG AutoML tool for automatically finding an optimal RAG pipeline for your data.
    24. KAG: KAG is a knowledge-enhanced generation framework based on OpenSPG engine, which is used to build knowledge-enhanced rigorous decision-making and information retrieval knowledge services.
    25. Fast-GraphRAG: RAG that intelligently adapts to your use case, data, and queries.
    26. Tiny-GraphRAG
    27. DB-GPT GraphRAG: DB-GPT GraphRAG integrates both triplet-based knowledge graphs and document structure graphs while leveraging community and document retrieval mechanisms to enhance RAG capabilities, achieving comparable performance while consuming only 50% of the tokens required by Microsoft's GraphRAG. Refer to the DB-GPT Graph RAG User Manual for details.
    28. Chonkie: The no-nonsense RAG chunking library that's lightweight, lightning-fast, and ready to CHONK your texts.
    29. RAGLite: RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite.
    30. KAG: KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs.
    31. CAG: CAG leverages the extended context windows of modern large language models (LLMs) by preloading all relevant resources into the model’s context and caching its runtime parameters.
    32. MiniRAG: an extremely simple retrieval-augmented generation framework that enables small models to achieve good RAG performance through heterogeneous graph indexing and lightweight topology-enhanced retrieval.
    33. XRAG: a benchmarking framework designed to evaluate the foundational components of advanced Retrieval-Augmented Generation (RAG) systems.
    34. Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation.
    35. RAG-Anything: All-in-One RAG System.

    智能体 Agents

    1. AutoGen: AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen AIStudio
    2. CrewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
    3. Coze
    4. AgentGPT: Assemble, configure, and deploy autonomous AI Agents in your browser.
    5. XAgent: An Autonomous LLM Agent for Complex Task Solving.
    6. MobileAgent: The Powerful Mobile Device Operation Assistant Family.
    7. Lagent: A lightweight framework for building LLM-based agents.
    8. Qwen-Agent: Agent framework and applications built upon Qwen2, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
    9. LinkAI: 一站式 AI 智能体搭建平台
    10. Baidu APPBuilder
    11. agentUniverse: agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications. Furthermore, through the community, they can exchange and share practices of patterns across different domains.
    12. LazyLLM: 低代码构建多Agent大模型应用的开发工具
    13. AgentScope: Start building LLM-empowered multi-agent applications in an easier way.
    14. AgentField: Open-source control plane for building and operating AI agents like APIs at scale, with routing, memory, observability, identity, auth, and policy controls.
    15. MoA: Mixture of Agents (MoA) is a novel approach that leverages the collective strengths of multiple LLMs to enhance performance, achieving state-of-the-art results.
    16. Agently: AI Agent Application Development Framework.
    17. OmAgent: A multimodal agent framework for solving complex tasks.
    18. Tribe: No code tool to rapidly build and coordinate multi-agent teams.
    19. CAMEL: First LLM multi-agent framework and an open-source community dedicated to finding the scaling law of agents.
    20. PraisonAI: PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration.
    21. IoA: An open-source framework for collaborative AI agents, enabling diverse, distributed agents to team up and tackle complex tasks through internet-like connectivity.
    22. llama-agentic-system : Agentic components of the Llama Stack APIs.
    23. Agent Zero: Agent Zero is not a predefined agentic framework. It is designed to be dynamic, organically growing, and learning as you use it.
    24. Agents: An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents.
    25. AgentScope: Start building LLM-empowered multi-agent applications in an easier way.
    26. FastAgency: The fastest way to bring multi-agent workflows to production.
    27. Swarm: Framework for building, orchestrating and deploying multi-agent systems. Managed by OpenAI Solutions team. Experimental framework.
    28. Agent-S: an open agentic framework that uses computers like a human.
    29. PydanticAI: Agent Framework / shim to use Pydantic with LLMs.
    30. Agentarium: open-source framework for creating and managing simulations populated with AI-powered agents.
    31. smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
    32. Cooragent: Cooragent is an AI agent collaboration community.
    33. Agno: Agno is a lightweight library for building Agents with memory, knowledge, tools and reasoning.
    34. Kortix: The open-source AI Operating System — agents, skills, memory and connectors live in a git repo you own, and every session runs on its own cloud computer.
    35. rowboat: Let AI build multi-agent workflows for you in minutes.
    36. EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents.
    37. ii-agent: a new open-source framework to build and deploy intelligent agents.
    38. OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.
    39. OpenManus: No fortress, purely open ground. OpenManus is Coming.
    40. JoyAgent-JDGenie: 业界首个开源高完成度轻量化通用多智能体产品.
    41. coze-studio: An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before.
    42. OxyGent: An advanced Python framework that empowers developers to quickly build production-ready intelligent systems.
    43. LazyCraft: LazyCraft 是一个基于 LazyLLM 构建的 AI Agent 应用开发与管理平台，旨在协助开发者以 低门槛、低成本 快速构建和发布大模型应用。
    44. OpenAgents: AI Agent Networks for Open Collaboration.
    45. SandBox: All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
    46. DeepAnalyze: First agentic LLM for autonomous data science, supporting specific data tasks (data preparation, analysis, modeling, visualization, and insight) and data-oriented deep research (produce analyst-grade research reports).
    47. Astron Agent: Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
    48. Youtu-Agent: A simple yet powerful agent framework that delivers with open-source models.
    49. MiroThinker: an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gemini Deep Research.
    50. Nexent: A zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required, using pure language to develop any agent you want.
    51. Yunjue-Agent: A Fully Reproducible, Zero-Start In-Situ Self-Evolving Agent System for Open-Ended Tasks.
    52. Hindsight: State-of-the-art long-term memory for AI agents by Vectorize. Open-source, self-hostable, with integrations for LangChain, CrewAI, LlamaIndex, MCP, and more.
    53. AgentsMesh: The AI Agent Workforce Platform. Self-hostable multi-agent orchestration with remote AI workstations (AgentPods), PTY sandbox + git worktree isolation, channels-based agent collaboration, built-in Kanban, and per-pod MCP server. Supports Claude Code, Codex CLI, Gemini CLI, Aider, OpenCode.
    54. BitFun: Open-source agentic development environment with a Rust/Tauri desktop app and CLI for coding, research, office work, browser and desktop automation, extensible through MCP, Skills, and custom agents.
    Harness
    1. pi: AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI.
    2. DeepSeek Harness: Everything is a Plugin.
    3. OpenSquilla: a token-efficient, microkernel AI agent.
    4. PenguinHarness: Your Automated Agent Builder, Right on Your Desktop / Server.
    5. FrontierAgent: an open-source agent runtime, terminal product, and evaluation suite for long-horizon research and file-based work.
    6. oh-my-agent: Vendor-agnostic harness that adds planner, engineer, reviewer and debugger roles to the coding agent you already use (Claude Code, Codex CLI, Cursor and others), from one portable .agents/ folder.

    研究 Research

    写作
    审稿
    PPT
    其他
    全自动科研

    代码 Coding

    1. Cloi CLI: Local debugging agent that runs in your terminal.
    2. Devin
    3. v0
    4. Blot.new
    5. cursor
    6. Windsurf
    7. cline
    8. Trae
    9. MGX
    10. Roo Code
    11. Kilo Code
    12. AugmentCode
    13. Claude Code (🔥)
    14. Claude Code (🔥) + Happy Coder / CodePilot / cc-connect
    15. Gemini CLI
    16. Serena
    17. Claudia
    18. OpenCode
    19. Kiro
    20. CodeBuddy
    21. Kiro
    22. CodeX (🔥)
    23. Kimi-CLI
    24. opencode
    25. Multica
    26. Atomic Agent
    27. DeepSeek Harness

    视频 Video

    模型

    [!NOTE] 🤝Awesome-Video-Diffusion

    1. HunyuanVideo
    2. CogVideo
    3. Wan2.1
    4. Open-Sora
    5. Open-Sora-Plan
    6. LTX-Video
    7. Step-Video-T2V
    8. Step1X-Edit Editing
    9. Wan2.1-VACE Editing
    10. ICEdit Editing
    11. mochi-1-preview
    12. Wan2.1-Fun
    13. Wan2.1-FLF2V 首尾帧
    14. MAGI-1 自回归模型
    15. SkyReels-V2
    16. FramePack
    17. Pusa-VidGen
    18. Wan2.2
    19. MoGA 长视频
    20. LongCat-Video
    21. HunyuanVideo-1.5
    22. LTX-2
    23. daVinci-MagiHuman
    24. LongLive
    25. JoyAI-Echo
    26. NAVA
    27. LTX-2.3 (🔥)
    28. LingBot-Video
    29. MiniMax-H3 (🔥)
    30. MAGI-2-preview
    31. LTX-2.5 (🔥)
    编辑
    1. Wan2.1-VACE-14B: https://huggingface.co/Wan-AI/Wan2.1-VACE-14B
    2. Ditto: https://github.com/EzioBy/Ditto
    3. Bernini (🔥): https://github.com/bytedance/Bernini
    4. JoyAI-Video-Edit: https://huggingface.co/jdopensource/JoyAI-Video-Edit
    训练
    推理
    实用工具
    • PySceneDetect: Python and OpenCV-based scene cut/transition detection program & library.
    • DOVER: Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives.
    • ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding.

    图片 Image

    生成
    编辑

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