LlamaPen is a no-install needed GUI tool for Ollama, featuring a web-based interface accessible on both desktop and mobile. It allows easy setup and configuration, renders markdown, text, and LaTeX math, provides keyboard shortcuts for quick navigation, includes a built-in model and download manager, supports offline and PWA, and is 100% free and open-source. Users can chat with complete privacy as all chats are stored locally in the browser, ensuring near-instant chat load times. The tool also offers an optional cloud service, LlamaPen API, for running up-to-date models if unable to run locally, with a subscription option for increased rate limits and access to more expensive models.

Gabber is a real-time AI engine that supports graph-based apps with multiple participants and simultaneous media streams. It allows developers to build powerful and developer-friendly AI applications across voice, text, video, and more. The engine consists of frontend and backend services including an editor, engine, and repository. Gabber provides SDKs for JavaScript/TypeScript, React, Python, Unity, and upcoming support for iOS, Android, React Native, and Flutter. The roadmap includes adding more nodes and examples, such as computer use nodes, Unity SDK with robotics simulation, SIP nodes, and multi-participant turn-taking. Users can create apps using nodes, pads, subgraphs, and state machines to define application flow and logic.

lluminous is a fast and light open chat UI that supports multiple providers such as OpenAI, Anthropic, and Groq models. Users can easily plug in their API keys locally to access various models for tasks like multimodal input, image generation, multi-shot prompting, pre-filled responses, and more. The tool ensures privacy by storing all conversation history and keys locally on the user's device. Coming soon features include memory tool, file ingestion/embedding, embeddings-based web search, and prompt templates.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

BlinkID SDK wrapper for React Native provides best-in-class ID scanning software for cross-platform apps built with React Native. It offers complete guidance on installing and linking BlinkID library with iOS and Android apps. The SDK requires a valid license key for scanning, with offline data extraction. It supports React Native v0.71.2 and includes installation and linking instructions for iOS and Android. The repository also contains a script to create a sample React Native project and dependencies. Video tutorials demonstrate using documentVerificationOverlay and CombinedRecognizer for scanning various document types.

DataLine is an AI-driven data analysis and visualization tool designed for technical and non-technical users to explore data quickly. It offers privacy-focused data storage on the user's device, supports various data sources, generates charts, executes queries, and facilitates report building. The tool aims to speed up data analysis tasks for businesses and individuals by providing a user-friendly interface and natural language querying capabilities.

WebWhiz is an open-source tool that allows users to train ChatGPT on website data to build AI chatbots for customer queries. It offers easy integration, data-specific responses, regular data updates, no-code builder, chatbot customization, fine-tuning, and offline messaging. Users can create and train chatbots in a few simple steps by entering their website URL, automatically fetching and preparing training data, training ChatGPT, and embedding the chatbot on their website. WebWhiz can crawl websites monthly, collect text data and metadata, and process text data using tokens. Users can train custom data, but bringing custom open AI keys is not yet supported. The tool has no limitations on context size but may limit the number of pages based on the chosen plan. WebWhiz SDK is available on NPM, CDNs, and GitHub, and users can self-host it using Docker or manual setup involving MongoDB, Redis, Node, Python, and environment variables setup. For any issues, users can contact [email protected].

Pathway is a Python data processing framework for analytics and AI pipelines over data streams. It's the ideal solution for real-time processing use cases like streaming ETL or RAG pipelines for unstructured data. Pathway comes with an **easy-to-use Python API** , allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: **you can use it in both development and production environments, handling both batch and streaming data effectively**. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a **scalable Rust engine** based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with **Docker and Kubernetes**. You can install Pathway with pip: `pip install -U pathway` For any questions, you will find the community and team behind the project on Discord.

aiCoder is an AI-powered tool designed to streamline the coding process by automating repetitive tasks, providing intelligent code suggestions, and facilitating the integration of new features into existing codebases. It offers a chat interface for natural language interactions, methods and stubs lists for code modification, and settings customization for project-specific prompts. Users can leverage aiCoder to enhance code quality, focus on higher-level design, and save time during development.

OpenCopilot allows you to have your own product's AI copilot. It integrates with your underlying APIs and can execute API calls whenever needed. It uses LLMs to determine if the user's request requires calling an API endpoint. Then, it decides which endpoint to call and passes the appropriate payload based on the given API definition.

LLMOCR is a tool that utilizes a local Large Language Model (LLM) to extract text from images. It offers a user-friendly GUI and supports GPU acceleration for faster inference. The tool is cross-platform, compatible with Windows, macOS ARM, and Linux. Users can prompt the LLM to process images in a customized way. The processing is done locally on the user's machine, ensuring data privacy and security. LLMOCR requires Python 3.8 or higher and KoboldCPP for installation and operation.

Recognize is a smart media tagging tool for Nextcloud that automatically categorizes photos and music by recognizing faces, animals, landscapes, food, vehicles, buildings, landmarks, monuments, music genres, and human actions in videos. It uses pre-trained models for object detection, landmark recognition, face comparison, music genre classification, and video classification. The tool ensures privacy by processing images locally without sending data to cloud providers. However, it cannot process end-to-end encrypted files. Recognize is rated positively for ethical AI practices in terms of open-source software, freely available models, and training data transparency, except for music genre recognition due to limited access to training data.

This repository provides AI tools for developers through Docker containers, enabling agentic workflows. It allows users to create complex workflows using Dockerized tools and Markdown, leveraging various LLM models. The core features include Dockerized tools, conversation loops, multi-model agents, project-first design, and trackable prompts stored in a git repo.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

GPT Pilot is a core technology for the Pythagora VS Code extension, aiming to provide the first real AI developer companion. It goes beyond autocomplete, helping with writing full features, debugging, issue discussions, and reviews. The tool utilizes LLMs to generate production-ready apps, with developers overseeing the implementation. GPT Pilot works step by step like a developer, debugging issues as they arise. It can work at any scale, filtering out code to show only relevant parts to the AI during tasks. Contributions are welcome, with debugging and telemetry being key areas of focus for improvement.

RAGGENIE is a low-code RAG builder tool designed to simplify the creation of conversational AI applications. It offers out-of-the-box plugins for connecting to various data sources and building conversational AI on top of them, including integration with pre-built agents for actions. The tool is open-source under the MIT license, with a current focus on making it easy to build RAG applications and future plans for maintenance, monitoring, and transitioning applications from pilots to production.

BlindChat is a confidential and verifiable Conversational AI tool that ensures user prompts remain private from the AI provider. It leverages privacy-enhancing technology called enclaves with the core solution, BlindLlama. BlindChat Local variant operates entirely in the user's browser, ensuring data never leaves the device. The tool provides cryptographic guarantees that user data is protected and not accessible to AI providers.

LlamaPen is a no-install needed GUI tool for Ollama, featuring a web-based interface accessible on both desktop and mobile. It allows easy setup and configuration, renders markdown, text, and LaTeX math, provides keyboard shortcuts for quick navigation, includes a built-in model and download manager, supports offline and PWA, and is 100% free and open-source. Users can chat with complete privacy as all chats are stored locally in the browser, ensuring near-instant chat load times. The tool also offers an optional cloud service, LlamaPen API, for running up-to-date models if unable to run locally, with a subscription option for increased rate limits and access to more expensive models.

This plugin extends and creates `a`/`i` textobjects in Neovim. It enhances some builtin textobjects (like `a(`, `a)`, `a'`, and more), creates new ones (like `a*`, `a`, `af`, `a?`, and more), and allows the user to create their own (like based on treesitter, and more). It supports dot-repeat, `v:count`, different search methods, consecutive application, and customization via Lua patterns or functions. It has builtins for brackets, quotes, function call, argument, tag, user prompt, and any punctuation/digit/whitespace character.

AiEditor is a next-generation rich text editor for AI, based on Web Component and supporting various front-end frameworks. It offers two themes, light and dark, along with flexible configuration for developing text editing applications. The editor includes features for basic text formatting, enhancements like undo/redo and format painter, support for attachments like images and videos, code-related functionalities, table manipulation, Markdown support, AI-related features such as continuation and optimization, and more. Planned improvements include collaboration, automated testing, AI picture insertion and drawing, enhanced paste features, WORD and PDF export, Notion-like operations, and integration with ChatGPT.

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

Blinko is an innovative open-source project designed for individuals who want to quickly capture and organize their fleeting thoughts. It allows users to seamlessly jot down ideas the moment they strike, ensuring that no spark of creativity is lost. With advanced AI-powered note retrieval, data ownership, efficient and fast capturing, lightweight architecture, and open collaboration, Blinko offers a comprehensive solution for managing and accessing notes.

Echo Editor is a modern AI-powered WYSIWYG rich-text editor for Vue, featuring a beautiful UI with shadcn-vue components. It provides AI-powered writing assistance, Markdown support with real-time preview, rich text formatting, tables, code blocks, custom font sizes and styles, Word document import, I18n support, extensible architecture for creating extensions, TypeScript and Tailwind CSS support. The tool aims to enhance the writing experience by combining advanced features with user-friendly design.

AIO Video Downloader is an open-source Android application built on the robust yt-dlp backend with the help of youtubedl-android. It aims to be the most powerful download manager available, offering a clean and efficient interface while unlocking advanced downloading capabilities with minimal setup. With support for 1000+ sites and virtually any downloadable content across the web, AIO delivers a seamless yet powerful experience that balances speed, flexibility, and simplicity.

ChatFAQ is an open-source comprehensive platform for creating a wide variety of chatbots: generic ones, business-trained, or even capable of redirecting requests to human operators. It includes a specialized NLP/NLG engine based on a RAG architecture and customized chat widgets, ensuring a tailored experience for users and avoiding vendor lock-in.

AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

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.

mikupad is a lightweight and efficient language model front-end powered by ReactJS, all packed into a single HTML file. Inspired by the likes of NovelAI, it provides a simple yet powerful interface for generating text with the help of various backends.

Glide is a cloud-native LLM gateway that provides a unified REST API for accessing various large language models (LLMs) from different providers. It handles LLMOps tasks such as model failover, caching, key management, and more, making it easy to integrate LLMs into applications. Glide supports popular LLM providers like OpenAI, Anthropic, Azure OpenAI, AWS Bedrock (Titan), Cohere, Google Gemini, OctoML, and Ollama. It offers high availability, performance, and observability, and provides SDKs for Python and NodeJS to simplify integration.

ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.