We0 is a web project generation tool that offers browser-based debugging, high-fidelity design restoration, importing historical projects, integration with WeChat Mini Program Developer Tools, and multi-platform support. It supports code generation, design-to-code conversion, open-source projects, WeChat Mini Program Tools preview, existing projects, and Deepseek. The tool uses pnpm as the package management tool and requires Node.js version 18.20. Users can install and configure the tool for web development and utilize quick start methods for building the web editor. Additionally, instructions are provided for installing and using the client version on Mac, along with troubleshooting tips. For any questions or support, users can contact [email protected] or join the WeChat group chat.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

A simple standalone viewer for reading prompt from Stable Diffusion generated image outside the webui. The tool supports macOS, Windows, and Linux, providing both GUI and CLI functionalities. Users can interact with the tool through drag and drop, copy prompt to clipboard, remove prompt from image, export prompt to text file, edit or import prompt to images, and more. It supports multiple formats including PNG, JPEG, WEBP, TXT, and various tools like A1111's webUI, Easy Diffusion, StableSwarmUI, Fooocus-MRE, NovelAI, InvokeAI, ComfyUI, Draw Things, and Naifu(4chan). Users can download the tool for different platforms and install it via Homebrew Cask or pip. The tool can be used to read, export, remove, and edit prompts from images, providing various modes and options for different tasks.

Open Assistant API is an open-source, self-hosted AI intelligent assistant API compatible with the official OpenAI interface. It supports integration with more commercial and private models, R2R RAG engine, internet search, custom functions, built-in tools, code interpreter, multimodal support, LLM support, and message streaming output. Users can deploy the service locally and expand existing features. The API provides user isolation based on tokens for SaaS deployment requirements and allows integration of various tools to enhance its capability to connect with the external world.

The llama-recipes repository provides a scalable library for fine-tuning Llama 2, along with example scripts and notebooks to quickly get started with using the Llama 2 models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama 2 and other tools in the LLM ecosystem. The examples here showcase how to run Llama 2 locally, in the cloud, and on-prem.

AgentBench is a benchmark designed to evaluate Large Language Models (LLMs) as autonomous agents in various environments. It includes 8 distinct environments such as Operating System, Database, Knowledge Graph, Digital Card Game, and Lateral Thinking Puzzles. The tool provides a comprehensive evaluation of LLMs' ability to operate as agents by offering Dev and Test sets for each environment. Users can quickly start using the tool by following the provided steps, configuring the agent, starting task servers, and assigning tasks. AgentBench aims to bridge the gap between LLMs' proficiency as agents and their practical usability.

Pipecat is an open-source framework designed for building generative AI voice bots and multimodal assistants. It provides code building blocks for interacting with AI services, creating low-latency data pipelines, and transporting audio, video, and events over the Internet. Pipecat supports various AI services like speech-to-text, text-to-speech, image generation, and vision models. Users can implement new services and contribute to the framework. Pipecat aims to simplify the development of applications like personal coaches, meeting assistants, customer support bots, and more by providing a complete framework for integrating AI services.

TTS Generation WebUI is a comprehensive tool that provides a user-friendly interface for text-to-speech and voice cloning tasks. It integrates various AI models such as Bark, MusicGen, AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and MAGNeT. The tool offers one-click installers, Google Colab demo, videos for guidance, and extra voices for Bark. Users can generate audio outputs, manage models, caches, and system space for AI projects. The project is open-source and emphasizes ethical and responsible use of AI technology.

The RAG ChatBot project combines Lama.cpp, Chroma, and Streamlit to build a Conversation-aware Chatbot and a Retrieval-augmented generation (RAG) ChatBot. The RAG Chatbot works by taking a collection of Markdown files as input and provides answers based on the context provided by those files. It utilizes a Memory Builder component to load Markdown pages, divide them into sections, calculate embeddings, and save them in an embedding database. The chatbot retrieves relevant sections from the database, rewrites questions for optimal retrieval, and generates answers using a local language model. It also remembers previous interactions for more accurate responses. Various strategies are implemented to deal with context overflows, including creating and refining context, hierarchical summarization, and async hierarchical summarization.

Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.

Page Assist is an open-source Chrome Extension that provides a Sidebar and Web UI for your Local AI model. It allows you to interact with your model from any webpage.

Outspeed is a PyTorch-inspired SDK for building real-time AI applications on voice and video input. It offers low-latency processing of streaming audio and video, an intuitive API familiar to PyTorch users, flexible integration of custom AI models, and tools for data preprocessing and model deployment. Ideal for developing voice assistants, video analytics, and other real-time AI applications processing audio-visual data.

The Google Generative AI SDK for Dart enables developers to utilize cutting-edge Large Language Models (LLMs) for creating language applications. It provides access to the Gemini API for generating content using state-of-the-art models. Developers can integrate the SDK into their Dart or Flutter applications to leverage powerful AI capabilities. It is recommended to use the SDK for server-side API calls to ensure the security of API keys and protect against potential key exposure in mobile or web apps.

Airflint is a tool designed to enforce best practices for all your Airflow Directed Acyclic Graphs (DAGs). It is currently in the alpha stage and aims to help users adhere to recommended practices when working with Airflow. Users can install Airflint from PyPI and integrate it into their existing Airflow environment to improve DAG quality. The tool provides rules for function-level imports and jinja template syntax usage, among others, to enhance the development process of Airflow DAGs.

This repository contains a demo application showcasing the usage of the SDXL Lightning API by fal.ai. The application also demonstrates the functionality of the fal.realtime client. To get started, users need to have a Fal AI API key for model access. The setup involves adding the API key to the .env.local file, installing dependencies using 'npm install', and running the application with 'npm run dev'.

We0 is a web project generation tool that offers browser-based debugging, high-fidelity design restoration, importing historical projects, integration with WeChat Mini Program Developer Tools, and multi-platform support. It supports code generation, design-to-code conversion, open-source projects, WeChat Mini Program Tools preview, existing projects, and Deepseek. The tool uses pnpm as the package management tool and requires Node.js version 18.20. Users can install and configure the tool for web development and utilize quick start methods for building the web editor. Additionally, instructions are provided for installing and using the client version on Mac, along with troubleshooting tips. For any questions or support, users can contact [email protected] or join the WeChat group chat.

AgentConnect is an open-source implementation of the Agent Network Protocol (ANP) aiming to define how agents connect with each other and build an open, secure, and efficient collaboration network for billions of agents. It addresses challenges like interconnectivity, native interfaces, and efficient collaboration. The architecture includes authentication, end-to-end encryption modules, meta-protocol module, and application layer protocol integration framework. AgentConnect focuses on performance and multi-platform support, with plans to rewrite core components in Rust and support mobile platforms and browsers. The project aims to establish ANP as an industry standard and form an ANP Standardization Committee. Installation is done via 'pip install agent-connect' and demos can be run after cloning the repository. Features include decentralized authentication based on did:wba and HTTP, and meta-protocol negotiation examples.

AgentConnect is an open-source implementation of the Agent Network Protocol (ANP) aiming to define how agents connect with each other and build an open, secure, and efficient collaboration network for billions of agents. It addresses challenges like interconnectivity, native interfaces, and efficient collaboration by providing authentication, end-to-end encryption, meta-protocol handling, and application layer protocol integration. The project focuses on performance and multi-platform support, with plans to rewrite core components in Rust and support Mac, Linux, Windows, mobile platforms, and browsers. AgentConnect aims to establish ANP as an industry standard through protocol development and forming a standardization committee.

Air-light is a minimalist WordPress starter theme designed to be an ultra minimal starting point for a WordPress project. It is built to be very straightforward, backwards compatible, front-end developer friendly and modular by its structure. Air-light is free of weird "app-like" folder structures or odd syntaxes that nobody else uses. It loves WordPress as it was and as it is.

A frontend for Trading Strategy protocol.

AirPower4T is a development base library based on Vue3 TypeScript Element Plus Vite, using decorators, object-oriented, Hook and other front-end development methods. It provides many common components and some feedback components commonly used in background management systems, and provides a lot of enums and decorators.

Juggle is a low-code tool for interface orchestration, which can quickly orchestrate simple APIs into a complex interface. The orchestrated interface can be directly used by the front end, greatly improving development efficiency and reducing development costs.

Enterprise Commerce is a Next.js commerce starter that helps you launch your high-performance Shopify storefront in minutes, not weeks. It leverages the power of Vector Search and AI to deliver a superior online shopping experience without the development headaches.

ai2html is an open-source script for Adobe Illustrator that converts your Illustrator documents into html and css.

nlux is an open-source Javascript and React JS library that makes it super simple to integrate powerful large language models (LLMs) like ChatGPT into your web app or website. With just a few lines of code, you can add conversational AI capabilities and interact with your favourite LLM.

Leafer UI is a colorful UI drawing framework developed based on Leafer, which can be used to combine AI drawing and generate interfaces. It provides commonly used UI drawing components and out-of-the-box functions, which is convenient for data exchange with products such as Figma and Sketch, and provides unified and rich interactive events for cross-platform development, such as drag, rotate, and zoom gestures. 1.0.0-rc.21 has been released 🎉🎉🎉, check the changelog. At present, the product has gradually stabilized, and the official version is coming soon. Thanks to all the friends who participated~ If you want to start using it right away, please check the quick installation. If you have any questions or suggestions, you can submit them here or join the technical exchange group. If you only need drawing functions, the lighter leafer-draw (46KB min+gzip) is recommended. 🌟 Remember to go to GitHub / Gitee to light up your little stars ✨ ✨ ✨