The react-native-ai repository allows users to run Large Language Models (LLM) locally in a React Native app using the Universal MLC LLM Engine with compatibility for Vercel AI SDK. Please note that this project is experimental and not ready for production. The repository is licensed under MIT and was created with create-react-native-library.

Cedar OS is an open-source framework that bridges the gap between AI agents and React applications, enabling the creation of AI-native applications where agents can interact with the application state like users. It focuses on providing intuitive and powerful ways for humans to interact with AI through features like full state integration, real-time streaming, voice-first design, and flexible architecture. Cedar OS offers production-ready chat components, agentic state management, context-aware mentions, voice integration, spells & quick actions, and fully customizable UI. It differentiates itself by offering a true AI-native architecture, developer-first experience, production-ready features, and extensibility. Built with TypeScript support, Cedar OS is designed for developers working on ambitious AI-native applications.

The AI Tutor RAG System repository contains Jupyter notebooks supporting the RAG course, focusing on enhancing AI models with retrieval-based methods. It covers foundational and advanced concepts in retrieval-augmented generation, including data retrieval techniques, model integration with retrieval systems, and practical applications of RAG in real-world scenarios.

Slidev AI is a web app that leverages LLM (Large Language Model) technology to make creating Slidev-based online presentations elegant and effortless. It is designed to help engineers and academics quickly produce content-focused, minimalist PPTs that are easily shareable online. This project serves as a reference implementation for OpenMCP agent development, a production-ready presentation generation solution, and a template for creating domain-specific AI agents.

Spec Workflow MCP is a Model Context Protocol (MCP) server that offers structured spec-driven development workflow tools for AI-assisted software development. It includes a real-time web dashboard and a VSCode extension for monitoring and managing project progress directly in the development environment. The tool supports sequential spec creation, real-time monitoring of specs and tasks, document management, archive system, task progress tracking, approval workflow, bug reporting, template system, and works on Windows, macOS, and Linux.

The ai-app-lab is a high-code Python SDK Arkitect designed for enterprise developers with professional development capabilities. It provides a toolset and workflow set for developing large model applications tailored to specific business scenarios. The SDK offers highly customizable application orchestration, quality business tools, one-stop development and hosting services, security enhancements, and AI prototype application code examples. It caters to complex enterprise development scenarios, enabling the creation of highly customized intelligent applications for various industries.

Nekro Agent is an AI chat plugin and proxy execution bot that is highly scalable, offers high freedom, and has minimal deployment requirements. It features context-aware chat for group/private chats, custom character settings, sandboxed execution environment, interactive image resource handling, customizable extension development interface, easy deployment with docker-compose, integration with Stable Diffusion for AI drawing capabilities, support for various file types interaction, hot configuration updates and command control, native multimodal understanding, visual application management control panel, CoT (Chain of Thought) support, self-triggered timers and holiday greetings, event notification understanding, and more. It allows for third-party extensions and AI-generated extensions, and includes features like automatic context trigger based on LLM, and a variety of basic commands for bot administrators.

This repository is a comprehensive collection of practical examples, tutorials, and recipes for building powerful LLM-powered applications. From simple chatbots to advanced AI agents, these projects serve as a guide for developers working with various AI frameworks and tools. Powered by Nebius AI Studio - your one-stop platform for building and deploying AI applications.

Bifrost is a high-performance AI gateway that unifies access to multiple providers through a single OpenAI-compatible API. It offers features like automatic failover, load balancing, semantic caching, and enterprise-grade functionalities. Users can deploy Bifrost in seconds with zero configuration, benefiting from its core infrastructure, advanced features, enterprise and security capabilities, and developer experience. The repository structure is modular, allowing for maximum flexibility. Bifrost is designed for quick setup, easy configuration, and seamless integration with various AI models and tools.

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.

JADX-AI-MCP is a plugin for the JADX decompiler that integrates with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. It allows for quick analysis, vulnerability detection, and AI code modification, all in real time. The tool combines JADX-AI-MCP and JADX MCP SERVER to analyze Android APKs effortlessly. It offers various prompts for code understanding, vulnerability detection, reverse engineering helpers, static analysis, AI code modification, and documentation. The tool is part of the Zin MCP Suite and aims to connect all android reverse engineering and APK modification tools with a single MCP server for easy reverse engineering of APK files.

Fast-DLLM is a diffusion-based Large Language Model (LLM) inference acceleration framework that supports efficient inference for models like Dream and LLaDA. It offers fast inference support, multiple optimization strategies, code generation, evaluation capabilities, and an interactive chat interface. Key features include Key-Value Cache for Block-Wise Decoding, Confidence-Aware Parallel Decoding, and overall performance improvements. The project structure includes directories for Dream and LLaDA model-related code, with installation and usage instructions provided for using the LLaDA and Dream models.

The OpenVINO Build and Deploy repository provides pre-built components and code samples to accelerate the development and deployment of production-grade AI applications across various industries. With the OpenVINO Toolkit from Intel, users can enhance the capabilities of both Intel and non-Intel hardware to meet specific needs. The repository includes AI reference kits, interactive demos, workshops, and step-by-step instructions for building AI applications. Additional resources such as Jupyter notebooks and a Medium blog are also available. The repository is maintained by the AI Evangelist team at Intel, who provide guidance on real-world use cases for the OpenVINO toolkit.

LMForge is an end-to-end LLMOps platform designed for multi-model agents. It provides a comprehensive solution for managing and deploying large language models efficiently. The platform offers tools for training, fine-tuning, and deploying various types of language models, enabling users to streamline the development and deployment process. With LMForge, users can easily experiment with different model architectures, optimize hyperparameters, and scale their models to meet specific requirements. The platform also includes features for monitoring model performance, managing datasets, and collaborating with team members, making it a versatile tool for researchers and developers working with language models.

llama.ui is an open-source desktop application that provides a beautiful, user-friendly interface for interacting with large language models powered by llama.cpp. It is designed for simplicity and privacy, allowing users to chat with powerful quantized models on their local machine without the need for cloud services. The project offers multi-provider support, conversation management with indexedDB storage, rich UI components including markdown rendering and file attachments, advanced features like PWA support and customizable generation parameters, and is privacy-focused with all data stored locally in the browser.

E2B Infra is a cloud runtime for AI agents. It provides SDKs and CLI to customize and manage environments and run AI agents in the cloud. The infrastructure is deployed using Terraform and is currently only deployable on GCP. The main components of the infrastructure are the API server, daemon running inside instances (sandboxes), Nomad driver for managing instances (sandboxes), and Nomad driver for building environments (templates).

The react-native-ai repository allows users to run Large Language Models (LLM) locally in a React Native app using the Universal MLC LLM Engine with compatibility for Vercel AI SDK. Please note that this project is experimental and not ready for production. The repository is licensed under MIT and was created with create-react-native-library.

Pixeltable is a Python library designed for ML Engineers and Data Scientists to focus on exploration, modeling, and app development without the need to handle data plumbing. It provides a declarative interface for working with text, images, embeddings, and video, enabling users to store, transform, index, and iterate on data within a single table interface. Pixeltable is persistent, acting as a database unlike in-memory Python libraries such as Pandas. It offers features like data storage and versioning, combined data and model lineage, indexing, orchestration of multimodal workloads, incremental updates, and automatic production-ready code generation. The tool emphasizes transparency, reproducibility, cost-saving through incremental data changes, and seamless integration with existing Python code and libraries.

Generative AI JS is a JavaScript library that provides tools for creating generative art and music using artificial intelligence techniques. It allows users to generate unique and creative content by leveraging machine learning models. The library includes functions for generating images, music, and text based on user input and preferences. With Generative AI JS, users can explore the intersection of art and technology, experiment with different creative processes, and create dynamic and interactive content for various applications.

Chrome AI is a Vercel AI provider for Chrome's built-in model (Gemini Nano). It allows users to create language models using Chrome's AI capabilities. The tool is under development and may contain errors and frequent changes. Users can install the ChromeAI provider module and use it to generate text, stream text, and generate objects. To enable AI in Chrome, users need to have Chrome version 127 or greater and turn on specific flags. The tool is designed for developers and researchers interested in experimenting with Chrome's built-in AI features.

ZetaForge is an open-source AI platform designed for rapid development of advanced AI and AGI pipelines. It allows users to assemble reusable, customizable, and containerized Blocks into highly visual AI Pipelines, enabling rapid experimentation and collaboration. With ZetaForge, users can work with AI technologies in any programming language, easily modify and update AI pipelines, dive into the code whenever needed, utilize community-driven blocks and pipelines, and share their own creations. The platform aims to accelerate the development and deployment of advanced AI solutions through its user-friendly interface and community support.

Atidraw is a web application that allows users to create, enhance, and share drawings using Cloudflare R2 and Cloudflare AI. It features intuitive drawing with signature_pad, AI-powered enhancements such as alt text generation and image generation with Stable Diffusion, global storage on Cloudflare R2, flexible authentication options, and high-performance server-side rendering on Cloudflare Pages. Users can deploy Atidraw with zero configuration on their Cloudflare account using NuxtHub.

The 'Free LLM API resources' repository provides a comprehensive list of services offering free access or credits for API-based LLM usage. It includes various providers with details on model names, limits, and notes. Users can find information on legitimate services and their respective usage restrictions to leverage LLM capabilities without incurring costs. The repository aims to assist developers and researchers in accessing AI models for experimentation, development, and learning purposes.

The AI Engineering Hub is a repository that provides in-depth tutorials on LLMs and RAGs, real-world AI agent applications, and examples to implement, adapt, and scale in projects. It caters to beginners, practitioners, and researchers, offering resources for all skill levels to experiment and succeed in AI engineering.

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.