Cloudflare VibeSDK is an open source full-stack AI webapp generator built on Cloudflare's developer platform. It allows companies to build AI-powered platforms, enables internal development for non-technical teams, and supports SaaS platforms to extend product functionality. The platform features AI code generation, live previews, interactive chat, modern stack generation, one-click deploy, and GitHub integration. It is built on Cloudflare's platform with frontend in React + Vite, backend in Workers with Durable Objects, database in D1 (SQLite) with Drizzle ORM, AI integration via multiple LLM providers, sandboxed app previews and execution in containers, and deployment to Workers for Platforms with dispatch namespaces. The platform also offers an SDK for programmatic access to build apps programmatically using TypeScript SDK.

AIClient-2-API is a versatile and lightweight API proxy designed for developers, providing ample free API request quotas and comprehensive support for various mainstream large models like Gemini, Qwen Code, Claude, etc. It converts multiple backend APIs into standard OpenAI format interfaces through a Node.js HTTP server. The project adopts a modern modular architecture, supports strategy and adapter patterns, comes with complete test coverage and health check mechanisms, and is ready to use after 'npm install'. By easily switching model service providers in the configuration file, any OpenAI-compatible client or application can seamlessly access different large model capabilities through the same API address, eliminating the hassle of maintaining multiple sets of configurations for different services and dealing with incompatible interfaces.

Groqqle 2.1 is a revolutionary, free AI web search and API that instantly returns ORIGINAL content derived from source articles, websites, videos, and even foreign language sources, for ANY target market of ANY reading comprehension level! It combines the power of large language models with advanced web and news search capabilities, offering a user-friendly web interface, a robust API, and now a powerful Groqqle_web_tool for seamless integration into your projects. Developers can instantly incorporate Groqqle into their applications, providing a powerful tool for content generation, research, and analysis across various domains and languages.

Figma Console MCP is a Model Context Protocol server that bridges design and development, giving AI assistants complete access to Figma for extraction, creation, and debugging. It connects AI assistants like Claude to Figma, enabling plugin debugging, visual debugging, design system extraction, design creation, variable management, real-time monitoring, and three installation methods. The server offers 53+ tools for NPX and Local Git setups, while Remote SSE provides read-only access with 16 tools. Users can create and modify designs with AI, contribute to projects, or explore design data. The server supports authentication via personal access tokens and OAuth, and offers tools for navigation, console debugging, visual debugging, design system extraction, design creation, design-code parity, variable management, and AI-assisted design creation.

LAYRA is the world's first visual-native AI automation engine that sees documents like a human, preserves layout and graphical elements, and executes arbitrarily complex workflows with full Python control. It empowers users to build next-generation intelligent systems with no limits or compromises. Built for Enterprise-Grade deployment, LAYRA features a modern frontend, high-performance backend, decoupled service architecture, visual-native multimodal document understanding, and a powerful workflow engine.

Coding Agent Template is a versatile tool for building AI-powered coding agents that support various coding tasks using Claude Code, OpenAI's Codex CLI, Cursor CLI, and opencode with Vercel Sandbox. It offers features like multi-agent support, Vercel Sandbox for secure code execution, AI Gateway integration, AI-generated branch names, task management, persistent storage, Git integration, and a modern UI built with Next.js and Tailwind CSS. Users can easily deploy their own version of the template to Vercel and set up the tool by cloning the repository, installing dependencies, configuring environment variables, setting up the database, and starting the development server. The tool simplifies the process of creating tasks, monitoring progress, reviewing results, and managing tasks, making it ideal for developers looking to automate coding tasks with AI agents.

Visionatrix is a project aimed at providing easy use of ComfyUI workflows. It offers simplified setup and update processes, a minimalistic UI for daily workflow use, stable workflows with versioning and update support, scalability for multiple instances and task workers, multiple user support with integration of different user backends, LLM power for integration with Ollama/Gemini, and seamless integration as a service with backend endpoints and webhook support. The project is approaching version 1.0 release and welcomes new ideas for further implementation.

Nanocoder is a local-first CLI coding agent that supports multiple AI providers with tool support for file operations and command execution. It focuses on privacy and control, allowing users to code locally with AI tools. The tool is designed to bring the power of agentic coding tools to local models or controlled APIs like OpenRouter, promoting community-led development and inclusive collaboration in the AI coding space.

Gemini CLI is an open-source AI agent that provides lightweight access to Gemini, offering powerful capabilities like code understanding, generation, automation, integration, and advanced features. It is designed for developers who prefer working in the command line and offers extensibility through MCP support. The tool integrates directly into GitHub workflows and offers various authentication options for individual developers, enterprise teams, and production workloads. With features like code querying, editing, app generation, debugging, and GitHub integration, Gemini CLI aims to streamline development workflows and enhance productivity.

Tingly Box is a tool that helps in deciding which model to call, compressing context, and routing requests efficiently. It offers secure, reliable, and customizable functional extensions. With features like unified API, smart routing, context compression, auto API translation, blazing fast performance, flexible authentication, visual control panel, and client-side usage stats, Tingly Box provides a comprehensive solution for managing AI models and tokens. It supports integration with various IDEs, CLI tools, SDKs, and AI applications, making it versatile and easy to use. The tool also allows seamless integration with OAuth providers like Claude Code, enabling users to utilize existing quotas in OpenAI-compatible tools. Tingly Box aims to simplify AI model management and usage by providing a single endpoint for multiple providers with minimal configuration, promoting seamless integration with SDKs and CLI tools.

Nuxt Editor Template is a Notion-like WYSIWYG editor built with Vue & Nuxt, featuring rich text editing, tables, AI-powered completions, real-time collaboration, and more. It includes features like inline completions, image upload, mentions, emoji picker, and markdown support. Users can deploy their own editor with Vercel and integrate AI assistance for writing. The template also supports Blob storage for image uploads and optional real-time collaboration using Y.js framework with PartyKit.

Nanocoder is a versatile code editor designed for beginners and experienced programmers alike. It provides a user-friendly interface with features such as syntax highlighting, code completion, and error checking. With Nanocoder, you can easily write and debug code in various programming languages, making it an ideal tool for learning, practicing, and developing software projects. Whether you are a student, hobbyist, or professional developer, Nanocoder offers a seamless coding experience to boost your productivity and creativity.

Persistent AI Memory System is a comprehensive tool that offers persistent, searchable storage for AI assistants. It includes features like conversation tracking, MCP tool call logging, and intelligent scheduling. The system supports multiple databases, provides enhanced memory management, and offers various tools for memory operations, schedule management, and system health checks. It also integrates with various platforms like LM Studio, VS Code, Koboldcpp, Ollama, and more. The system is designed to be modular, platform-agnostic, and scalable, allowing users to handle large conversation histories efficiently.

Zero is an open-source AI email solution that allows users to self-host their email app while integrating external services like Gmail. It aims to modernize and enhance emails through AI agents, offering features like open-source transparency, AI-driven enhancements, data privacy, self-hosting freedom, unified inbox, customizable UI, and developer-friendly extensibility. Built with modern technologies, Zero provides a reliable tech stack including Next.js, React, TypeScript, TailwindCSS, Node.js, Drizzle ORM, and PostgreSQL. Users can set up Zero using standard setup or Dev Container setup for VS Code users, with detailed environment setup instructions for Better Auth, Google OAuth, and optional GitHub OAuth. Database setup involves starting a local PostgreSQL instance, setting up database connection, and executing database commands for dependencies, tables, migrations, and content viewing.

OrChat is a powerful CLI tool for chatting with AI models through OpenRouter. It offers features like universal model access, interactive chat with real-time streaming responses, rich markdown rendering, agentic shell access, security gating, performance analytics, command auto-completion, pricing display, auto-update system, multi-line input support, conversation management, auto-summarization, session persistence, web scraping, file and media support, smart thinking mode, conversation export, customizable themes, interactive input features, and more.

DreamLayer AI is an open-source Stable Diffusion WebUI designed for AI researchers, labs, and developers. It automates prompts, seeds, and metrics for benchmarking models, datasets, and samplers, enabling reproducible evaluations across multiple seeds and configurations. The tool integrates custom metrics and evaluation pipelines, providing a streamlined workflow for AI research. With features like automated benchmarking, reproducibility, built-in metrics, multi-modal readiness, and researcher-friendly interface, DreamLayer AI aims to simplify and accelerate the model evaluation process.

Cloudflare VibeSDK is an open source full-stack AI webapp generator built on Cloudflare's developer platform. It allows companies to build AI-powered platforms, enables internal development for non-technical teams, and supports SaaS platforms to extend product functionality. The platform features AI code generation, live previews, interactive chat, modern stack generation, one-click deploy, and GitHub integration. It is built on Cloudflare's platform with frontend in React + Vite, backend in Workers with Durable Objects, database in D1 (SQLite) with Drizzle ORM, AI integration via multiple LLM providers, sandboxed app previews and execution in containers, and deployment to Workers for Platforms with dispatch namespaces. The platform also offers an SDK for programmatic access to build apps programmatically using TypeScript SDK.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.

This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.