AI Prompt Runner for VSCode is a research prototype project that provides a VSCode extension to run prompts. Users can install the extension, set a secret key, and run prompts to get results for any project. The tool is designed for developers and researchers to experiment with AI prompts within the VSCode environment.

Agnaistic is an AI roleplay chat tool that allows users to interact with personalized characters using their favorite AI services. It supports multiple AI services, persona schema formats, and features such as group conversations, user authentication, and memory/lore books. Agnaistic can be self-hosted or run using Docker, and it provides a range of customization options through its settings.json file. The tool is designed to be user-friendly and accessible, making it suitable for both casual users and developers.

DIAL Chat is a default UI for AI DIAL, recommended for learning the capability of the headless system. It offers various features like IDP support, model comparison, DIAL extensions, conversation replays, and branding. Managed as a monorepo by NX tools, it provides documentation for DIAL Chat, Theming, Overlay, and Visualizer Connector. Users can find a user guide for the AI DIAL Chat application in the AI DIAL repository.

ai-digest is a CLI tool designed to aggregate your codebase into a single Markdown file for use with Claude Projects or custom ChatGPTs. It aggregates all files in the specified directory and subdirectories, ignores common build artifacts and configuration files, and provides options for whitespace removal and custom ignore patterns. The tool is useful for preparing codebases for AI analysis and assistance.

Buildware is a tool designed to help developers accelerate their code shipping process by leveraging AI technology. Users can build a code instruction system, submit an issue, and receive an AI-generated pull request. The tool is created by Mckay Wrigley and Tyler Bruno at Takeoff AI. Buildware offers a simple setup process involving cloning the repository, installing dependencies, setting up environment variables, configuring a database, and obtaining a GitHub Personal Access Token (PAT). The tool is currently being updated to include advanced features such as Linear integration, local codebase mode, and team support.

AI Deadlines is a web app that displays submission deadlines for top AI conferences like NeurIPS and ICLR. It helps researchers know when to submit their papers. The data is fetched from a GitHub repository and updated automatically using a CRON job. The project is based on an existing repository and features a new UI. Users can contribute by updating conference deadlines in the provided YAML file. The app can be run locally with Node.js and npm or deployed using Docker. It is built with Vite, TypeScript, React, shadcn-ui, and Tailwind CSS. The project is licensed under MIT.

ComfyUI Desktop is a packaged desktop application that allows users to easily use ComfyUI with bundled features like ComfyUI source code, ComfyUI-Manager, and uv. It automatically installs necessary Python dependencies and updates with stable releases. The app comes with Electron, Chromium binaries, and node modules. Users can store ComfyUI files in a specified location and manage model paths. The tool requires Python 3.12+ and Visual Studio with Desktop C++ workload for Windows. It uses nvm to manage node versions and yarn as the package manager. Users can install ComfyUI and dependencies using comfy-cli, download uv, and build/launch the code. Troubleshooting steps include rebuilding modules and installing missing libraries. The tool supports debugging in VSCode and provides utility scripts for cleanup. Crash reports can be sent to help debug issues, but no personal data is included.

This Python Telegram bot utilizes Google's `gemini-pro` LLM API to generate creative text formats based on user input. It's designed to be an engaging and interactive way to explore the capabilities of large language models. Key features include generating various text formats like poems, code, scripts, and musical pieces. The bot supports real-time streaming of the generation process, allowing users to witness the text unfold. Additionally, it can respond to messages with Bard's creative output and handle image-based inputs for multimodal responses. User authentication is optional, and the bot can be easily integrated with Docker or installed via pipenv.

Nitro is a high-efficiency C++ inference engine for edge computing, powering Jan. It is lightweight and embeddable, ideal for product integration. The binary of nitro after zipped is only ~3mb in size with none to minimal dependencies (if you use a GPU need CUDA for example) make it desirable for any edge/server deployment.

The LLM Engineer's Handbook is an official repository containing a comprehensive guide on creating an end-to-end LLM-based system using best practices. It covers data collection & generation, LLM training pipeline, a simple RAG system, production-ready AWS deployment, comprehensive monitoring, and testing and evaluation framework. The repository includes detailed instructions on setting up local and cloud dependencies, project structure, installation steps, infrastructure setup, pipelines for data processing, training, and inference, as well as QA, tests, and running the project end-to-end.

OpenCharacter is an open-source tool that allows users to create and run characters locally with local models or use the hosted version. The stack includes Next.js for frontend, TailwindCSS for styling, Drizzle ORM for database access, NextAuth for authentication, Cloudflare D1 for serverless databases, Cloudflare Pages for hosting, and ShadcnUI as the component library. Users can integrate OpenCharacter with OpenRouter by configuring the OpenRouter API key. The tool is fully scalable, composable, and cost-effective, with powerful tools like Wrangler for database management and migrations. No environment variables are needed, making it easy to use and deploy.

Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

Sandbox is an open-source cloud-based code editing environment with custom AI code autocompletion and real-time collaboration. It consists of a frontend built with Next.js, TailwindCSS, Shadcn UI, Clerk, Monaco, and Liveblocks, and a backend with Express, Socket.io, Cloudflare Workers, D1 database, R2 storage, Workers AI, and Drizzle ORM. The backend includes microservices for database, storage, and AI functionalities. Users can run the project locally by setting up environment variables and deploying the containers. Contributions are welcome following the commit convention and structure provided in the repository.

Gen AI Toolbox for Databases is an open source server that simplifies building Gen AI tools for interacting with databases. It handles complexities like connection pooling, authentication, and more, enabling easier, faster, and more secure tool development. The toolbox sits between the application's orchestration framework and the database, providing a control plane to modify, distribute, or invoke tools. It offers simplified development, better performance, enhanced security, and end-to-end observability. Users can install the toolbox as a binary, container image, or compile from source. Configuration is done through a 'tools.yaml' file, defining sources, tools, and toolsets. The project follows semantic versioning and welcomes contributions.

Sagentic.ai Agent Framework is a tool for creating AI agents with hot reloading dev server. It allows users to spawn agents locally by calling specific endpoint. The framework comes with detailed documentation and supports contributions, issues, and feature requests. It is MIT licensed and maintained by Ahyve Inc.

AilyticMinds Chatbot UI is an open-source AI chat app designed for easy deployment and improved backend compatibility. It provides a user-friendly interface for creating and hosting chatbots, with features like mobile layout optimization and support for various providers. The tool utilizes Supabase for data storage and management, offering a secure and scalable solution for chatbot development. Users can quickly set up their own instances locally or in the cloud, with detailed instructions provided for installation and configuration.

A curated list of AI coding tools, including code completion, refactoring, and assistants. This list includes both open-source and commercial tools, as well as tools that are still in development. Some of the most popular AI coding tools include GitHub Copilot, CodiumAI, Codeium, Tabnine, and Replit Ghostwriter.

This repository contains tools and libraries for building AIR platforms, runtimes and compilers.

This repository extends the LLVM framework to generate code for use with AMD/Xilinx AI Engine processors. AI Engine processors are in-order, exposed-pipeline VLIW processors focused on application acceleration for AI, Machine Learning, and DSP applications. The repository adds LLVM support for specific features like non-power of 2 pointers, operand latencies, resource conflicts, negative operand latencies, slot assignment, relocations, code alignment restrictions, and register allocation. It includes support for Clang, LLD, binutils, Compiler-RT, and LLVM-LIBC.

AI Prompt Runner for VSCode is a research prototype project that provides a VSCode extension to run prompts. Users can install the extension, set a secret key, and run prompts to get results for any project. The tool is designed for developers and researchers to experiment with AI prompts within the VSCode environment.

Leverage AI to generate pull request descriptions based on the diff & commit messages. Install the Chrome Extension to get started. The project uses Node.js and NPM. It provides developer documentation and usage guide. The extension can be installed on Chromium-based browsers by loading the unpacked `dist` directory. The core team includes Brian Douglas, Divyansh Singh, and Anush Shetty. Contributors can open issues and find good first issues in the Discord channel. The project uses @open-sauced/conventional-commit for commit utility and semantic-release for generating changelogs and releases. Join the community in Discord, watch videos on the YouTube Channel, and find resources on the Dev.to org. Licensed under MIT © Open Sauced.

LLM-ollama is a plugin that provides access to models running on an Ollama server. It allows users to query the Ollama server for a list of models, register them with LLM, and use them for prompting, chatting, and embedding. The plugin supports image attachments, embeddings, JSON schemas, async models, model aliases, and model options. Users can interact with Ollama models through the plugin in a seamless and efficient manner.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.