# 🤖 AI/ML Resources

Curated collection of AI/ML resources and tools to jumpstart your artificial intelligence and machine learning journey. Explore tutorials, datasets, libraries, and more!

PRs with additional resources or suggestions are much welcome!

## Resources 📕

### Learning Resources 📚

- [Neural Networks: Zero to Hero](https://karpathy.ai/zero-to-hero.html) - From Andrej Karpathy, former Director of AI at Tesla and now at OpenAI.
- [Full Stack LLM Bootcamp](https://fullstackdeeplearning.com/llm-bootcamp/) - From the creators of the [Full Stack Deep Learning](https://fullstackdeeplearning.com/) course and book.
- [All about LLMs](https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d) - A gist with great curated learning resources.
- [Transformers](https://www.youtube.com/watch?v=XfpMkf4rD6E) - Introduction to Transformers with Andrej Karpathy.
- [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/) - A great visual explanation of the Transformer architecture.
- [How ChatGPT really works](https://bootcamp.uxdesign.cc/how-chatgpt-really-works-explained-for-non-technical-people-71efb078a5c9) - A great initial explanation of how ChatGPT works.
- [ChatGPT Prompt Engineering for Developers!](https://www.deeplearning.ai/short-courses/chatgpt-prompt-eng/) - Great course by OpenAI employees.
- [Learn Prompting](https://learnprompting.org/) - Another great course (text-based) about prompting.
- [Prompt Engineering Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) - Guides, papers, lectures, and resources for prompt engineering.
- [Prompt Engineering](https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/) - Great post from Lilian Weng, Head of Applied AI Research at OpenAI.
- [MLOps Guide](https://github.com/Nyandwi/machine_learning_complete/blob/main/010_mlops/1_mlops_guide.md) - A guide on MLOps.
- [MLOps Zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp) - A great course on MLOps.
- [Gandalf](https://gandalf.lakera.ai/) - A fun way to learn about prompt injection.
- [Practical Deep Learning](https://course.fast.ai/) - A course designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems.
- [Let's build GPT](https://www.youtube.com/watch?v=kCc8FmEb1nY) - From Andrej Karpathy, Let's build GPT: from scratch, in code, spelled out.
- [AI Canon](https://a16z.com/2023/05/25/ai-canon/) - A great curated list of resources to get smarter about modern AI.
- [Generative AI Learning Path](https://www.cloudskillsboost.google/paths/118) - This learning path guides you through curated content on Generative AI products and technologies.
- [Rules of Machine Learning](https://developers.google.com/machine-learning/guides/rules-of-ml) - Intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices.
- [AI Companion App](https://github.com/a16z-infra/companion-app) - A tutorial stack to create and host AI companions that you can chat with on a browser or text via SMS.
- [Microsoft AI Lab](https://github.com/microsoft/ailab) - AI Lab helps a large, fast-growing community of developers get started on AI.
- [ML Course Notes](https://github.com/dair-ai/ML-Course-Notes) - A place to collaborate and share lecture notes on all topics related to machine learning, NLP, and AI.
- [Generative AI for Beginners](https://github.com/microsoft/generative-ai-for-beginners) - A 12-lesson course teaching everything you need to know to start building Generative AI applications.
- [ML YouTube Courses](https://github.com/dair-ai/ML-YouTube-Courses) - An index of some of the best and most recent machine learning courses available on YouTube.
- [ML Papers Explained](https://github.com/dair-ai/ML-Papers-Explained) - Explanations of key concepts in machine learning.
- [LLM Course](https://github.com/mlabonne/llm-course) - A course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
- [Open LLMs](https://github.com/eugeneyan/open-llms) - A list of open LLMs available for commercial use with their context lengths and licenses.
- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts) - A collection of prompt examples to be used with ChatGPT and other LLMs.
- [Hugging Face Course](https://github.com/huggingface/course) - Learn how to apply Transformers to various tasks in natural language processing and beyond.
- [Andrew Ng’s Machine Learning](https://www.coursera.org/learn/machine-learning) - A foundational course on machine learning.
- [Machine Learning Roadmap](https://github.com/mrdbourke/machine-learning-roadmap) - A roadmap connecting important concepts in machine learning.
- [Robert Miles AI Safety](https://www.youtube.com/@RobertMilesAI) - YouTube channel about AI safety.

### LLMs

- [OpenAI LLMs](https://openai.com/product/gpt-4) - OpenAI models.
- [Hugging Face](https://huggingface.co/) - The leading open-source AI community. Find trending models, datasets, and spaces.
- [Bloom](https://huggingface.co/bigscience/bloom) - An open-source multilingual model similar to GPT-3.
- [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) - A foundational large language model by Meta.
- [Llama 2](https://ai.meta.com/llama/) - The next generation of Meta's open-source large language model.
- [JARVIS](https://github.com/microsoft/JARVIS) - An interface for LLMs to connect numerous AI models.
- [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) - Evaluate and rank open-source LLMs.

### Modern LLM Models

#### Commercial Models
- [Claude](https://www.anthropic.com/claude) - Anthropic's family of frontier AI systems, known for long context windows and reasoning capabilities.
- [Gemini](https://deepmind.google/technologies/gemini/) - Google DeepMind's multimodal AI system available in Ultra, Pro, and Nano sizes.
- [GPT-4](https://openai.com/gpt-4) - OpenAI's most advanced system, with variants including GPT-4o (omni) and GPT-4 Turbo.

#### Open Source Models
- [Llama 3](https://ai.meta.com/llama/) - Meta's latest open foundation language model family, available in 8B and 70B parameters.
- [Mistral](https://mistral.ai/) - A family of open-source large language models, including Mistral 7B and Mixtral 8x7B.
- [Qwen](https://github.com/QwenLM/Qwen) - Alibaba's advanced LLM series with strong multilingual capabilities, available in various sizes.
- [DeepSeek](https://github.com/deepseek-ai/DeepSeek-LLM) - A powerful open-source language model trained on 2T tokens with strong coding capabilities.
- [Vicuna-13B](https://lmsys.org/blog/2023-03-30-vicuna/) - An open-source chatbot fine-tuned from LLaMA.
- [Yi](https://github.com/01-ai/Yi) - A series of large language models trained from scratch by 01.AI, available in 6B to 34B parameters.
- [Phi-3](https://www.microsoft.com/en-us/research/blog/phi-3-technical-report/) - Microsoft's small yet powerful models (3.8B and 14B) with strong reasoning capabilities.
- [Falcon](https://falconllm.tii.ae/) - Technology Innovation Institute's open-source LLM trained on 1 trillion tokens.
- [Falcon 2](https://falconllm.tii.ae/) - Technology Innovation Institute's latest open-source LLM with enhanced capabilities.
- [Orca 2](https://www.microsoft.com/en-us/research/blog/orca-2-teaching-small-language-models-how-to-reason/) - Microsoft's smaller models that demonstrate strong reasoning capabilities.
- [Gemma 2](https://ai.google.dev/gemma) - Google's lightweight models (9B, 27B) optimized for high-speed inference across hardware.
- [Command R/R+](https://cohere.com/command) - Cohere's models specifically designed for RAG and long-context tasks.
- [Granite](https://www.ibm.com/granite) - IBM's enterprise-focused models with efficient hybrid architectures.
- [Phi-4](https://www.microsoft.com/en-us/research/blog/phi-4/) - Microsoft's 16B parameter multimodal SLM with multilingual support and image understanding.
- [Qwen2.5/Qwen3](https://github.com/QwenLM/Qwen) - Alibaba's updated series (0.5B-72B, 128K context, 29+ languages) with specialized variants.
- [Grok-1.5](https://x.ai/) - xAI's model with vision capabilities and long context support.
- [StableLM](https://github.com/Stability-AI/StableLM) - Stability AI's language models for various scales and use cases.
- [Nemotron 3](https://www.nvidia.com/en-us/ai-data-science/products/nemotron/) - Nvidia's hybrid architecture model for cost-effective scaling.
- [Kimi K2](https://www.moonshot.cn/) - Chinese model with strong performance and long context capabilities.
- [ChatGLM/GLM](https://github.com/THUDM/ChatGLM3) - Tsinghua University's bilingual conversational model.
- [MiniMax](https://www.minimaxi.com/) - Chinese multimodal model with text and image capabilities.
- [Guidance](https://github.com/microsoft/guidance) - Control modern language models more effectively and efficiently.
- [TheBloke on Hugging Face](https://huggingface.co/TheBloke) - Compiles the best open-source models in various formats.
- [DemoGPT](https://github.com/melih-unsal/DemoGPT) - Create 🦜️🔗 LangChain apps by just using prompts.
- [Llama2 Web UI](https://github.com/liltom-eth/llama2-webui) - Run Llama 2 with Gradio web UI on GPU or CPU from anywhere.
- [llama.cpp](https://github.com/ggerganov/llama.cpp) - Run LLaMA model using 4-bit integer quantization on a MacBook and more.
- [LocalAI](https://github.com/mudler/LocalAI) - Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required.
- [LocalAGI](https://github.com/mudler/LocalAGI) - A small virtual assistant you can run locally, powered by LocalAI.
- [Ollama](https://github.com/jmorganca/ollama) - A backend that allows you to run large language models locally.
- [KoboldCpp](https://github.com/LostRuins/koboldcpp) - An easy-to-use AI text-generation software for GGML and GGUF models.
- [GPT4All](https://github.com/nomic-ai/gpt4all) - Open-source large language models that run locally on your CPU and nearly any GPU.
- [vLLM](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs.
- [ExLlama](https://github.com/turboderp/exllamav2) - A fast inference library for running LLMs locally on modern consumer-class GPUs.
- [Stable Beluga 2](https://huggingface.co/stabilityai/StableBeluga2) - A fine-tuned Llama2 70B model.
- [Claude](https://www.anthropic.com/) - An AI assistant from Anthropic with advanced reasoning and extended context.

### Chat and Agents

- [ChatGPT](https://chat.openai.com/) - The leading chatbot built on GPT-3.5 and GPT-4.
- [Bing Chat](https://www.bing.com/chat) - A conversational AI language model powered by Microsoft Bing.
- [Open-Assistant](https://github.com/LAION-AI/Open-Assistant) - Open-source chat agent that interacts with external sources.
- [Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT) - An experimental open-source attempt to make GPT-4 fully autonomous.
- [LoopGPT](https://github.com/farizrahman4u/loopgpt) - A modular reimplementation of Auto-GPT.
- [ThinkGPT](https://github.com/jina-ai/thinkgpt) - Implementing Chain-of-Thought reasoning for Large Language Models.
- [Transformers Agents](https://huggingface.co/docs/transformers/transformers_agents) - Provides a natural language API on top of transformers.
- [MetaGPT](https://github.com/geekan/MetaGPT) - The Multi-Agent Framework: Given one-line requirement, return PRD, design, tasks, repo.
- [GPT-Engineer](https://github.com/AntonOsika/gpt-engineer) - Specify what you want it to build; the AI asks for clarification and then builds it.
- [Khoj](https://github.com/khoj-ai/khoj) - An AI personal assistant for your digital brain.
- [Danswer](https://github.com/danswer-ai/danswer) - Open-source enterprise question-answering.
- [simpleaichat](https://github.com/minimaxir/simpleaichat) - Python package for easily interfacing with chat apps.
- [RealChar](https://github.com/Shaunwei/RealChar) - Create and chat with AI characters.
- [ChatGPT AutoExpert](https://github.com/spdustin/ChatGPT-AutoExpert) - Supercharged Custom Instructions for ChatGPT.
- [Bee Agent Framework](https://github.com/i-am-bee/bee-agent-framework) - Framework for building scalable agentic applications.
- [Local AI](https://github.com/louisgv/local.ai) - A desktop app for local, private, secured AI experimentation.
- [Serge](https://github.com/serge-chat/serge) - A chat interface crafted with llama.cpp for running GGUF models.
- [SillyTavern](https://github.com/SillyTavern/SillyTavern) - A chat UI for interacting with text generation AIs and roleplay characters.
- [TavernAI](https://github.com/TavernAI/TavernAI) - An atmospheric frontend for chat and story writing.
- [Maid](https://github.com/danemadsen/Maid) - A cross-platform Flutter app for interfacing with GGUF/llama.cpp models locally.
- [AgentGPT](https://github.com/reworkd/AgentGPT) - Configure and deploy autonomous AI agents.
- [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - A dev-first open-source autonomous AI agent framework.
- [BabyAGI](https://github.com/yoheinakajima/babyagi) - AI-powered task management system using OpenAI.
- [Open Interpreter](https://github.com/KillianLucas/open-interpreter/) - Open-source, locally running implementation of OpenAI's Code Interpreter.
- [AutoPR](https://github.com/irgolic/AutoPR) - Automated pull request workflow powered by AI.
- [Phind](https://www.phind.com/) - An AI search engine and assistant for programmers.
- [Character.AI](https://beta.character.ai/) - Create and chat with AI-powered characters.
- [Agent2Agent](https://google.github.io/A2A) - Google DeepMind's framework for multi-agent collaboration with LLMs.
- [CrewAI](https://github.com/crewAIInc/crewAI) - Framework for orchestrating role-playing, autonomous AI agents with collaborative intelligence.
- [CopilotKit](https://github.com/CopilotKit/CopilotKit) - Framework for building agent-native applications with Generative UI and human-in-the-loop workflows.
- [LangGraph](https://github.com/langchain-ai/langgraph) - Build resilient language agents as graphs with advanced state management.
- [Open-AutoGLM](https://github.com/zai-org/Open-AutoGLM) - Open phone agent model and framework for unlocking AI phone capabilities.
- [Mastra](https://github.com/mastra-ai/mastra) - Framework for building AI-powered applications and agents with modern TypeScript stack.
- [deer-flow](https://github.com/bytedance/deer-flow) - ByteDance's community-driven Deep Research framework combining LLMs with web search and tools.
- [openai-agents-python](https://github.com/openai/openai-agents-python) - OpenAI's lightweight, powerful framework for multi-agent workflows.
- [12-factor-agents](https://github.com/humanlayer/12-factor-agents) - Principles for building production-ready LLM-powered software agents.
- [DB-GPT](https://github.com/eosphoros-ai/DB-GPT) - AI Native Data App Development framework with AWEL and Agents.
- [elizaOS/eliza](https://github.com/elizaOS/eliza) - Autonomous agents for everyone with Discord, Slack, Telegram integration.
- [Microsoft AutoGen](https://github.com/microsoft/autogen) - Programming framework for agentic AI with multi-agent conversations.

### AI-Powered IDEs

- [Cursor](https://cursor.sh/) - AI-first code editor based on VSCode with powerful chat, edit, and generation capabilities.
- [Windsurf](https://codeium.com/windsurf) - AI agent-powered IDE that integrates with existing workflows, by Codeium.
- [Trae](https://www.trae.ai/) - Adaptive AI IDE that transforms how you work, collaborating with you to run faster.
- [Zed](https://zed.dev/) - High-performance, multiplayer code editor with AI features.

### Development

- [LangChain](https://github.com/hwchase17/langchain) - Framework for developing applications powered by LLMs.
- [Pinecone](https://www.pinecone.io/) - Long-term memory for models with a vector database.
- [Chroma](https://www.trychroma.com/) - The open-source alternative to Pinecone.
- [Plug-in-Play](https://github.com/edreisMD/plugnplai) - Simplify the integration of plugins into open-source LLMs.
- [GPTCache](https://github.com/zilliztech/GPTCache) - Caching for LLM responses. Useful for cost savings.
- [OpenAI Cookbook](https://github.com/openai/openai-cookbook) - A collection of examples and best practices for building with OpenAI.
- [GPTCache](https://github.com/zilliztech/GPTCache) - Semantic cache to store responses from LLM queries for cost savings.
- [Vercel AI SDK](https://github.com/vercel-labs/ai) - An open source library for building AI-powered user interfaces with React, Svelte, and Vue.
- [How to build an agent with LangChain](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_build_a_tool-using_agent_with_langchain.ipynb) - Great Jupyter notebook from OpenAI.
- [Mojo](https://docs.modular.com/mojo/) - A new programming language combining Python syntax with systems programming.
- [Semantic Kernel](https://github.com/microsoft/semantic-kernel) - SDK that enables integration of AI LLMs with conventional programming languages.
- [Langcorn](https://github.com/msoedov/langcorn) - API server for serving LangChain models with FastAPI.
- [smol developer](https://github.com/smol-ai/developer) - Your own personal junior developer :)
- [smol plugin](https://github.com/gmchad/smol-plugin) - Automatically generate OpenAI plugins by specifying your API in markdown.
- [Kor](https://eyurtsev.github.io/kor/tutorial.html) - A thin wrapper on top of LLMs to extract structured data.
- [tiktoken](https://github.com/openai/tiktoken) - A fast BPE tokenizer used with OpenAI's models.
- [OpenAI Function Calling](https://platform.openai.com/docs/guides/gpt/function-calling) - Standardize LLM output.
- [Vercel AI SDK](https://github.com/vercel-labs/ai) - Build AI-powered applications with React, Svelte, and Vue.
- [Code Interpreter API](https://github.com/shroominic/codeinterpreter-api) - Open-source implementation of ChatGPT Code Interpreter.
- [Unsloth](https://github.com/unslothai/unsloth) - Framework for fine-tuning Large Language Models.
- [Pezzo](https://github.com/pezzolabs/pezzo) - Developer-first LLMOps platform to streamline prompt design and version management.
- [Lunary](https://github.com/lunary-ai/lunary) - Production toolkit for LLMs focusing on observability and evaluations.
- [Ludwig](https://github.com/ludwig-ai/ludwig) - Low-code framework for building custom AI models.
- [Langroid](https://github.com/langroid/langroid) - Lightweight Python framework to build LLM-powered applications.
- [LLMware](https://github.com/llmware-ai/llmware) - Unified framework for developing LLM-based application patterns.
- [LLM App](https://github.com/pathwaycom/llm-app) - Production framework for building and serving AI applications.
- [LlamaIndex](https://github.com/jerryjliu/llama_index) - A data framework for building LLM applications over external data.
- [LMQL](https://lmql.ai/) - A query language for large language models.
- [Haystack](https://haystack.deepset.ai/) - Framework for building NLP applications with language models.
- [Prediction Guard](https://www.predictionguard.com/) - Integrate private, controlled, and compliant LLM functionality.
- [Portkey](https://portkey.ai/) - LLMOps platform to monitor, manage, and improve LLM-based apps.
- [OpenRouter](https://openrouter.ai/) - A unified API to access 100+ LLMs from different providers through a single interface.
- [Cline](https://github.com/cline/cline) - Autonomous coding agent right in your IDE, capable of creating/editing files and executing commands.
- [Screenpipe](https://github.com/mediar-ai/screenpipe) - Screen and voice AI recording for context-aware AI applications.
- [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) - Tool for fine-tuning LLMs with YAML configs supporting LoRA/QLoRA/full tuning.
- [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) - Web UI for fine-tuning LLaMA models with multi-GPU support.

### RAG (Retrieval-Augmented Generation)

- [RAGFlow](https://github.com/infiniflow/ragflow) - Leading open-source RAG engine fusing cutting-edge RAG with Agent capabilities.
- [GraphRAG](https://github.com/microsoft/graphrag) - Microsoft's modular graph-based RAG system for enhanced reasoning.
- [LightRAG](https://github.com/HKUDS/LightRAG) - Simple and fast Retrieval-Augmented Generation framework.
- [R2R](https://github.com/SciPhi-AI/R2R) - Production-ready AI retrieval system with agentic RAG and RESTful API.
- [Verba](https://github.com/weaviate/Verba) - RAG chatbot powered by Weaviate with customizable pipelines.
- [AutoRAG](https://github.com/Marker-Inc-Korea/AutoRAG) - RAG evaluation and optimization framework with AutoML-style automation.
- [Cognita](https://github.com/truefoundry/cognita) - Modular, open-source RAG framework for production applications.
- [RAG_Techniques](https://github.com/NirDiamant/RAG_Techniques) - Showcase of advanced RAG techniques and implementations.

### Model Context Protocol (MCP)

- [fastmcp](https://github.com/jlowin/fastmcp) - Fast, Pythonic way to build MCP servers and clients for AI applications.
- [mcp-for-beginners](https://github.com/microsoft/mcp-for-beginners) - Microsoft's open-source curriculum for MCP in multiple languages (.NET, Java, TypeScript, Python, Rust).
- [claude-flow](https://github.com/ruvnet/claude-flow) - Leading agent orchestration platform for Claude with MCP support and swarm intelligence.
- [fastapi_mcp](https://github.com/tadata-org/fastapi_mcp) - Expose FastAPI endpoints as Model Context Protocol tools with Auth.
- [mcp-chrome](https://github.com/hangwin/mcp-chrome) - Chrome extension-based MCP server for browser automation and content analysis.
- [mcp-use](https://github.com/mcp-use/mcp-use) - Easiest way to interact with MCP servers with custom agents.
- [mcp-go](https://github.com/mark3labs/mcp-go) - Go implementation of Model Context Protocol for seamless LLM integration.
- [mcp-agent](https://github.com/lastmile-ai/mcp-agent) - Build effective agents using Model Context Protocol and workflow patterns.
- [awesome-mcp-servers](https://github.com/appcypher/awesome-mcp-servers) - Curated list of Model Context Protocol servers.

### AI Workflow Automation

- [n8n](https://github.com/n8n-io/n8n) - Fair-code workflow automation platform with native AI capabilities and 400+ integrations.
- [Dify](https://github.com/langgenius/dify) - Production-ready platform for agentic workflow development with low-code interface.
- [activepieces](https://github.com/activepieces/activepieces) - AI Agents & MCPs & AI Workflow Automation with 400 MCP servers.
- [sim](https://github.com/simstudioai/sim) - Open-source platform to build and deploy AI agent workflows.

### AI Video Generation

- [Sora](https://openai.com/sora) - OpenAI's text-to-video model with narrative intelligence for creating realistic videos.
- [Kling AI](https://klingai.com/) - Filmmaker-friendly video generation with collaboration features, 1080p, 10s videos.
- [Luma AI (Dream Machine)](https://lumalabs.ai/dream-machine) - 4K HDR/EXR support for professional post-production quality video generation.
- [Runway Gen-4](https://runwayml.com/) - Filmmaking tools with camera controls, Act-One, and comprehensive editing suite.
- [Google Veo](https://deepmind.google/technologies/veo/) - Best all-arounder with strong prompt adherence, realism with audio, 1080p, 8s.
- [Pika](https://pika.art/) - Cost-effective video generation with creative controls and editing features.
- [Seedance Pro](https://seedance.co/) - Most reliable video generation with stunning realism and 12s native generations.
- [Minimax Hailuo](https://hailuoai.video/) - Good for object transformation with creative video effects.

### AI Search Engines

- [Perplexity AI](https://www.perplexity.ai/) - Conversational AI search with superior source citations and focus modes for different domains.
- [You.com](https://you.com/) - Productivity engine with multiple AI models (GPT-4, Claude 3, Gemini) and customizable search modes.
- [Andi Search](https://andisearch.com/) - Ranked #1 for factual accuracy in 2024 benchmarks with conversational interface.
- [Brave Search](https://search.brave.com/) - Independent search with AI Answer feature, zero tracking, and ad-free results.
- [Arc Search](https://arc.net/) - Mobile-first with "Browse for Me" feature that compiles information into custom webpages.
- [Consensus](https://consensus.app/) - Specialized in scientific and academic research search.
- [Wolfram Alpha](https://www.wolframalpha.com/) - Computational knowledge engine for scientific and mathematical queries.
- [Phind](https://www.phind.com/) - AI search engine for developers with multiple model choices and technical focus.

### Tools

- [Vault AI](https://github.com/pashpashpash/vault-ai) - Tool for uploading documents and asking questions about their content.
- [LangFlow](https://github.com/logspace-ai/langflow) - Visual prototyping and experimentation with LangChain.
- [Flowise](https://github.com/FlowiseAI/Flowise) - Visual tool to build your customized LLM flow.
- [PentestGPT](https://github.com/GreyDGL/PentestGPT) - A GPT-empowered penetration testing tool 🕵️.
- [TypingMind](https://www.typingmind.com/) - A better UI for ChatGPT.
- [privateGPT](https://github.com/imartinez/privateGPT) - Ask questions to your documents without an internet connection.
- [Quivr](https://github.com/StanGirard/quivr) - Dump all your files and thoughts into your Generative AI second brain and chat with it.
- [Stable Diffusion Web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) - A browser interface based on Gradio for Stable Diffusion.
- [h2oGPT](https://github.com/h2oai/h2ogpt) - Like privateGPT, but with GPU inference supported.
- [localGPT](https://github.com/PromtEngineer/localGPT) - Inspired by privateGPT, using Vicuna-7b and InstructorEmbeddings.
- [Promptflow](https://github.com/InsuranceToolkits/promptflow) - Create executable flowcharts linking LLMs, prompts, and functions.
- [Dify](https://github.com/langgenius/dify) - An open-source LLM app development platform.
- [txtai](https://github.com/neuml/txtai) - Semantic search and workflows powered by language models.
- [Unofficial OpenAI Status](https://openai-status.llm-utils.org/) - An in-depth OpenAI status page.
- [gpt-prompt-engineer](https://github.com/mshumer/gpt-prompt-engineer) - Generates, tests, and ranks prompts for your task.
- [rag-stack](https://github.com/psychic-api/rag-stack) - Deploy a private ChatGPT alternative hosted within your VPC.
- [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) - Open-source ChatGPT equivalent for open and closed-source LLMs.
- [DocsGPT](https://github.com/arc53/docsgpt) - Streamlines finding information in project documentation.
- [Dialoqbase](https://github.com/n4ze3m/dialoqbase) - Facilitate the creation of custom chatbots using a knowledge base.
- [FastGPT](https://github.com/labring/FastGPT) - Knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities.

#### ChatGPT Extensions

- [WebChatGPT](https://chrome.google.com/webstore/detail/webchatgpt-chatgpt-with-i/lpfemeioodjbpieminkklglpmhlngfcn) - Augment ChatGPT prompts with relevant web results.
- [GPT for Sheets and Docs](https://workspace.google.com/marketplace/app/gpt_for_sheets_and_docs/677318054654) - ChatGPT extension for Google Sheets and Docs.
- [YouTube Summary with ChatGPT](https://chrome.google.com/webstore/detail/youtube-summary-with-chat/nmmicjeknamkfloonkhcjmomieiodli) - Summarize YouTube videos with ChatGPT.
- [ChatGPT Prompt Genius](https://chrome.google.com/webstore/detail/chatgpt-prompt-genius/jjdnakkfjnnbbckhifcfchagnpofjffo) - Discover and share the best prompts for ChatGPT.
- [ChatGPT for Search Engines](https://chrome.google.com/webstore/detail/chatgpt-for-search-engine/eeeonhemodpkdckaljcjogdncpiiban) - Display ChatGPT responses alongside search results.

### Code Assistants

- [Refact](https://github.com/smallcloudai/refact) - Open-source AI coding assistant with code completion and chat.
- [Draw a UI](https://github.com/SawyerHood/draw-a-ui) - Draw a mockup and generate HTML using AI.
- [Continue](https://github.com/continuedev/continue) - Open-source autopilot for VS Code and JetBrains.
- [Sweep AI](https://github.com/sweepai/sweep) - AI junior developer that turns bugs and requests into code changes.
- [Cody](https://github.com/sourcegraph/cody) - Free, open-source AI coding assistant for code completion and Q&A.
- [Aider](https://github.com/paul-gauthier/aider) - Pair program with GPT-3.5/GPT-4 to edit code in your git repo.
- [AutoPR](https://github.com/irgolic/AutoPR) - Automated pull request workflow powered by AI.
- [bloop](https://github.com/BloopAI/bloop) - ChatGPT for your codebase; search and generate patches.
- [GitHub Copilot](https://github.com/features/copilot) - GitHub Copilot.
- [Ghostwriter](https://replit.com/site/ghostwriter) - AI-powered pair programmer by Replit.
- [Amazon CodeWhisperer](https://aws.amazon.com/codewhisperer/) - Build applications faster with ML-powered coding companion.
- [MutableAI](https://mutable.ai/) - AI-accelerated software development.
- [GPT-Code UI](https://github.com/ricklamers/gpt-code-ui) - Open-source implementation of ChatGPT Code Interpreter.

### Local AI Coding Agents & Assistants

#### Terminal/CLI-Based Coding Agents

- [OpenClaw](https://github.com/openclaw/openclaw) - Personal AI assistant that runs locally with autonomous task execution, plugin system, and multi-platform messaging integration.
- [Codex](https://github.com/openai/codex) - OpenAI's lightweight coding agent that runs in your terminal for autonomous code editing and execution.
- [Claude Code](https://www.anthropic.com/claude/code) - Anthropic's autonomous coding assistant with terminal integration and advanced reasoning.
- [Goose](https://github.com/block/goose) - Open-source, extensible AI agent from Block that goes beyond code suggestions with install, execute, edit, and test capabilities.
- [Roo Code](https://github.com/RooCodeInc/Roo-Code) - VS Code extension providing a whole dev team of AI agents with multiple modes, semantic indexing, and MCP support.
- [pi-mono](https://github.com/badlogic/pi-mono) - AI agent toolkit with coding agent CLI, unified LLM API, TUI & web UI libraries, and vLLM pods.

#### Desktop Applications & Unified Clients

- [Cherry Studio](https://github.com/CherryHQ/cherry-studio) - Agentic AI desktop with 300+ assistants, autonomous coding, and unified access to frontier LLMs.
- [AionUi](https://github.com/iOfficeAI/AionUi) - Free, local, open-source UI for multiple coding agents including Codex, Claude Code, Goose CLI, and more.
- [cc-switch](https://github.com/farion1231/cc-switch) - Cross-platform All-in-One assistant tool for Claude Code, Codex, OpenCode & Gemini CLI with skills management.
- [nanobot](https://github.com/HKUDS/nanobot) - Ultra-lightweight OpenClaw alternative with minimal resource requirements.
- [nanoclaw](https://github.com/gavrielc/nanoclaw) - Lightweight alternative to OpenClaw running in Apple containers for security with WhatsApp integration.

#### Agent Management & Orchestration

- [claude-squad](https://github.com/smtg-ai/claude-squad) - Manage multiple AI terminal agents like Claude Code, Aider, Codex, and Amp simultaneously.
- [vibe-kanban](https://github.com/BloopAI/vibe-kanban) - Kanban-style task management to get 10X more out of coding agents.
- [humanlayer](https://github.com/humanlayer/humanlayer) - Human-in-the-loop framework for AI coding agents solving hard problems in complex codebases.
- [oh-my-opencode](https://github.com/code-yeongyu/oh-my-opencode) - The best agent harness for orchestrating multiple coding agents.

#### Skills & Extensions

- [awesome-claude-skills](https://github.com/ComposioHQ/awesome-claude-skills) - Curated list of Claude Skills, resources, and tools for customizing Claude AI workflows.
- [awesome-openclaw-skills](https://github.com/VoltAgent/awesome-openclaw-skills) - Collection of OpenClaw Skills (formerly Moltbot/Clawdbot skills).
- [awesome-agent-skills](https://github.com/VoltAgent/awesome-agent-skills) - 300+ agent skills from official teams and community, compatible with Codex, Claude Code, Cursor, and others.
- [obsidian-skills](https://github.com/kepano/obsidian-skills) - Agent skills for Obsidian note-taking integration.
- [marketingskills](https://github.com/coreyhaines31/marketingskills) - Marketing skills for Claude Code and AI agents including CRO, copywriting, SEO, and analytics.

#### Infrastructure & Utilities

- [1Panel](https://github.com/1Panel-dev/1Panel) - Web interface for Linux servers to manage OpenClaw agents, LLMs, websites, databases, and containers.
- [LangBot](https://github.com/langbot-app/LangBot) - Production-grade platform for building agentic IM bots across Discord, Slack, Telegram, WeChat, and more.
- [memU](https://github.com/NevaMind-AI/memU) - Memory system for 24/7 proactive agents like openclaw with persistent context and scheduled jobs.
- [moltworker](https://github.com/cloudflare/moltworker) - Run OpenClaw on Cloudflare Workers for serverless deployment.
- [happy](https://github.com/slopus/happy) - Mobile and web client for Codex and Claude Code with realtime voice and encryption.
- [ccusage](https://github.com/ryoppippi/ccusage) - CLI tool for analyzing Claude Code/Codex usage from local JSONL files.

### Vector Databases

- [Weaviate](https://github.com/weaviate/weaviate) - An open-source vector database that's robust and scalable.
- [Milvus](https://github.com/milvus-io/milvus) - Open-source vector database for embedding similarity search.
- [Qdrant](https://github.com/qdrant/qdrant) - Vector similarity search engine and database.
- [Deep Lake](https://github.com/activeloopai/deeplake) - Database for AI optimized for deep-learning applications.
- [Chroma](https://github.com/chroma-core/chroma) - Open-source embedding database for AI applications.
- [LanceDB](https://github.com/lancedb/lancedb) - Developer-friendly vector database for AI applications.

### Stable Diffusion

- [Stable Diffusion Web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) - Browser interface for Stable Diffusion.
- [Midjourney](https://www.midjourney.com/) - Independent research lab exploring new mediums of thought.
- [InvokeAI](https://github.com/invoke-ai/InvokeAI) - Creative engine for Stable Diffusion models.
- [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - Powerful and modular Stable Diffusion GUI and backend.
- [Lama Cleaner](https://github.com/Sanster/lama-cleaner) - Image inpainting tool powered by SOTA AI models.
- [ControlNet](https://github.com/lllyasviel/ControlNet) - Neural network structure to control diffusion models by adding extra conditions.
- [Stable Diffusion XL](https://github.com/Stability-AI/generative-models) - Stability AI's advanced text-to-image model with improved quality and features.

### Audio Generation

#### AI Voice Cloning

- [Eleven Labs](https://beta.elevenlabs.io/) - AI voice generator with lifelike voices.
- [Resemble AI](https://www.resemble.ai/) - AI voice generator and voice cloning for text-to-speech.
- [Murf AI](https://murf.ai/) - Create voiceovers with lifelike AI voices.
- [Bark](https://github.com/suno-ai/bark) - Transformer-based text-to-audio model. #opensource
- [AudioCraft](https://github.com/facebookresearch/audiocraft) - A library for audio processing and generation with deep learning, including MusicGen for music generation.
- [Whisper](https://github.com/openai/whisper) - OpenAI's robust speech recognition model for transcription and translation.

#### Music Generation

- [Harmonai](https://www.harmonai.org/) - Open-source generative audio tools for music production.
- [Mubert](https://www.mubert.com/) - Royalty-free music ecosystem powered by AI.
- [MusicLM](https://google-research.github.io/seanet/musiclm/examples/) - Google's model for generating high-fidelity music from text.

### Marketing AI Tools

- [Jasper AI](https://www.jasper.ai/) - AI-powered tool for generating marketing content like blogs, emails, and ad copy.
- [Mutiny](https://www.mutinyhq.com/) - Personalization platform to improve website conversions using AI.
- [Clearbit](https://clearbit.com/) - Lead enrichment and data intelligence platform.
- [Adzooma](https://www.adzooma.com/) - AI-powered PPC campaign management platform.
- [Phrasee](https://www.phrasee.co/) - AI tool that generates optimized marketing copy.
- [Rupert AI](https://www.getrupert.com/) - AI tools for designers and marketers.
- [Persuva](https://persuva.ai) - AI-driven platform to create persuasive, high-converting ad copy at scale.

### Other

- [PromptBase](https://promptbase.com/) - Marketplace for buying and selling quality prompts for AI models.
- [Have I Been Trained?](https://haveibeentrained.com/) - Check if your image has been used to train AI art models.
- [GummySearch](https://gummysearch.com/) - AI-based customer research via Reddit.
- [Taplio](https://taplio.com/) - AI-powered LinkedIn tool.
- [PromptPal](https://promptpal.net) - Search for prompts and bots, then use them with your favorite AI.
- [Code to Flow](https://codetoflow.com) - Visualize code logic as flowcharts using AI.
- [AI-Flow](https://ai-flow.net/) - Connect multiple AI models easily.
- [Architecture Helper](https://architecturehelper.com) - Analyze building architecture and generate custom styles.
- [LM Studio](https://lmstudio.ai/) - Discover, download, and run local LLMs with a desktop app.
- [Ollama](https://ollama.ai/) - Run, create, and share large language models locally.
- [Jan](https://jan.ai/) - Open-source ChatGPT alternative that runs 100% offline on your computer.
- [PrivateGPT](https://github.com/imartinez/privateGPT) - Interact privately with your documents using the power of LLMs, 100% privately, no data leaves your execution environment.
- [LocalAI](https://github.com/go-skynet/LocalAI) - Self-hosted, community-driven, local OpenAI-compatible API.