Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

Codexia is a powerful GUI and Toolkit for Codex CLI, offering features like fork chat, file-tree integration, notepad, git diff, built-in pdf/csv/xlsx viewer, and more. It provides multi-file format support, flexible configuration with multiple AI providers, professional UX with responsive UI, security features like sandbox execution modes, and prioritizes privacy. The tool supports interactive chat, code generation/editing, file operations with sandbox, command execution with approval, multiple AI providers, project-aware assistance, streaming responses, and built-in web search. The roadmap includes plans for MCP tool call, more file format support, better UI customization, plugin system, real-time collaboration, performance optimizations, and token count.

The template-repo is a comprehensive development ecosystem with 6 AI agents, 14 MCP servers, and complete CI/CD automation running on self-hosted, zero-cost infrastructure. It follows a container-first approach, with all tools and operations running in Docker containers, zero external dependencies, self-hosted infrastructure, single maintainer design, and modular MCP architecture. The repo provides AI agents for development and automation, features 14 MCP servers for various tasks, and includes security measures, safety training, and sleeper detection system. It offers features like video editing, terrain generation, 3D content creation, AI consultation, image generation, and more, with a focus on maximum portability and consistency.

NeuroPilot is an open-source AI-powered education platform that transforms study materials into interactive learning resources. It provides tools like contextual chat, smart notes, flashcards, quizzes, and AI podcasts. Supported by various AI models and embedding providers, it offers features like WebSocket streaming, JSON or vector database support, file-based storage, and configurable multi-provider setup for LLMs and TTS engines. The technology stack includes Node.js, TypeScript, Vite, React, TailwindCSS, JSON database, multiple LLM providers, and Docker for deployment. Users can contribute to the project by integrating AI models, adding mobile app support, improving performance, enhancing accessibility features, and creating documentation and tutorials.

astrsk is a tool that pushes the boundaries of AI storytelling by offering advanced AI agents, customizable response formatting, and flexible prompt editing for immersive roleplaying experiences. It provides complete AI agent control, a visual flow editor for conversation flows, and ensures 100% local-first data storage. The tool is true cross-platform with support for various AI providers and modern technologies like React, TypeScript, and Tailwind CSS. Coming soon features include cross-device sync, enhanced session customization, and community features.

AI Engineering Academy aims to provide a structured learning path for individuals looking to learn Applied AI effectively. The platform offers multiple roadmaps covering topics like Retrieval Augmented Generation, Fine-tuning, and Deployment. Each roadmap equips learners with the knowledge and skills needed to excel in applied GenAI. Additionally, the platform will feature Hands-on End-to-End AI projects in the future.

Kelivo is a Flutter LLM Chat Client with modern design, dark mode, multi-language support, multi-provider support, custom assistants, multimodal input, markdown rendering, voice functionality, MCP support, web search integration, prompt variables, QR code sharing, data backup, and custom requests. It is built with Flutter and Dart, utilizes Provider for state management, Hive for local data storage, and supports dynamic theming and Markdown rendering. Kelivo is a versatile tool for creating and managing personalized AI assistants, supporting various input formats, and integrating with multiple search engines and AI providers.

Local Deep Research is a powerful AI-powered research assistant that performs deep, iterative analysis using multiple LLMs and web searches. It can be run locally for privacy or configured to use cloud-based LLMs for enhanced capabilities. The tool offers advanced research capabilities, flexible LLM support, rich output options, privacy-focused operation, enhanced search integration, and academic & scientific integration. It also provides a web interface, command line interface, and supports multiple LLM providers and search engines. Users can configure AI models, search engines, and research parameters for customized research experiences.

This repository is a collection of free resources and a roadmap designed to help individuals learn Machine Learning and Artificial Intelligence concepts by providing key concepts, building blocks, roles, a learning roadmap, courses, certifications, books, tools & frameworks, research blogs, applied blogs, practice problems, communities, YouTube channels, newsletters, and must-read papers. It covers a wide range of topics from supervised learning to MLOps, offering guidance on learning paths, practical experience, and job interview preparation.

A curated list of data science & AI guided projects to start building your portfolio. The repository contains guided projects covering various topics such as large language models, time series analysis, computer vision, natural language processing (NLP), and data science. Each project provides detailed instructions on how to implement specific tasks using different tools and technologies.

GROWI is a collaborative wiki platform that allows users to create hierarchical pages with markdown, edit simultaneously with multiple people, and support authentication with LDAP/Active Directory, OAuth, and SAML. It also integrates with Slack/Mattermost, IFTTT, and allows for plugin customization. GROWI is Docker and Docker Compose ready, supports multiple sites, HTTPS with Let's Encrypt proxy integration, and offers migration guides for on-premise installations. The tool is built with Node.js, npm, pnpm, Turborepo, and requires MongoDB, with optional dependencies on Redis and ElasticSearch for full-text search functionality.

DeepSeekAI is a browser extension plugin that allows users to interact with AI by selecting text on web pages and invoking the DeepSeek large model to provide AI responses. The extension enhances browsing experience by enabling users to get summaries or answers for selected text directly on the webpage. It features context text selection, API key integration, draggable and resizable window, AI streaming replies, Markdown rendering, one-click copy, re-answer option, code copy functionality, language switching, and multi-turn dialogue support. Users can install the extension from Chrome Web Store or Edge Add-ons, or manually clone the repository, install dependencies, and build the extension. Configuration involves entering the DeepSeek API key in the extension popup window to start using the AI-driven responses.

Aide is a Visual Studio Code extension that offers AI-powered features to help users master any code. It provides functionalities such as code conversion between languages, code annotation for readability, quick copying of files/folders as AI prompts, executing custom AI commands, defining prompt templates, multi-file support, setting keyboard shortcuts, and more. Users can enhance their productivity and coding experience by leveraging Aide's intelligent capabilities.

Cherry Studio is a desktop client that supports multiple Large Language Model (LLM) providers, available on Windows, Mac, and Linux. It allows users to create multiple Assistants and topics, use multiple models to answer questions in the same conversation, and supports drag-and-drop sorting, code highlighting, and Mermaid chart. The tool is designed to enhance productivity and streamline the process of interacting with various language models.

MCP Pointer is a local tool that combines an MCP Server with a Chrome Extension to allow users to visually select DOM elements in the browser and make textual context available to agentic coding tools like Claude Code. It bridges between the browser and AI tools via the Model Context Protocol, enabling real-time communication and compatibility with various AI tools. The tool extracts detailed information about selected elements, including text content, CSS properties, React component detection, and more, making it a valuable asset for developers working with AI-powered web development.

ABI (Agentic Brain Infrastructure) is a Python-based AI Operating System designed to serve as the core infrastructure for building an Agentic AI Ontology Engine. It empowers organizations to integrate, manage, and scale AI-driven operations with multiple AI models, focusing on ontology, agent-driven workflows, and analytics. ABI emphasizes modularity and customization, providing a customizable framework aligned with international standards and regulatory frameworks. It offers features such as configurable AI agents, ontology management, integrations with external data sources, data processing pipelines, workflow automation, analytics, and data handling capabilities.

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

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.

Weave is a toolkit for developing Generative AI applications, built by Weights & Biases. With Weave, you can log and debug language model inputs, outputs, and traces; build rigorous, apples-to-apples evaluations for language model use cases; and organize all the information generated across the LLM workflow, from experimentation to evaluations to production. Weave aims to bring rigor, best-practices, and composability to the inherently experimental process of developing Generative AI software, without introducing cognitive overhead.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

The VisionCraft API is a free API for using over 100 different AI models. From images to sound.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.