lively

Lively Wallpaper is a tool that allows users to set animated desktop wallpapers, bringing their desktop to life. It supports various types of wallpapers including video/GIF, webpage, and application/games. Users can also use any wallpaper as a screensaver, control Lively with command line arguments, and leverage the Lively API for developers to create interactive wallpapers. The tool offers features such as minimal webpage renderer, hardware-accelerated video playback, and integration with Machine Learning inference for dynamic wallpapers. Lively is designed for Windows, is fully open-source and free, and supports Shadertoy.com URLs as wallpapers.

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.

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization. It offers features like fractional virtual GPU, remote GPU sharing, GPU-first scheduling, GPU oversubscription, GPU pooling, monitoring, live migration, and more. The tool aims to enhance GPU utilization efficiency and streamline AI infrastructure management for organizations.

WeKnora is a document understanding and semantic retrieval framework based on large language models (LLM), designed specifically for scenarios with complex structures and heterogeneous content. The framework adopts a modular architecture, integrating multimodal preprocessing, semantic vector indexing, intelligent recall, and large model generation reasoning to build an efficient and controllable document question-answering process. The core retrieval process is based on the RAG (Retrieval-Augmented Generation) mechanism, combining context-relevant segments with language models to achieve higher-quality semantic answers. It supports various document formats, intelligent inference, flexible extension, efficient retrieval, ease of use, and security and control. Suitable for enterprise knowledge management, scientific literature analysis, product technical support, legal compliance review, and medical knowledge assistance.

Auto-News is an automatic news aggregator tool that utilizes Large Language Models (LLM) to pull information from various sources such as Tweets, RSS feeds, YouTube videos, web articles, Reddit, and journal notes. The tool aims to help users efficiently read and filter content based on personal interests, providing a unified reading experience and organizing information effectively. It features feed aggregation with summarization, transcript generation for videos and articles, noise reduction, task organization, and deep dive topic exploration. The tool supports multiple LLM backends, offers weekly top-k aggregations, and can be deployed on Linux/MacOS using docker-compose or Kubernetes.

Dokugen is a lightweight README.md file Generator Command Line Interface Tool that simplifies the process of writing README.md files by generating professional READMEs for projects, saving time and ensuring consistency using AI. It automates the most neglected part of a repo, resulting in cleaner projects and happier contributors.

This repository contains a Telegram bot built with Golang that integrates with DeepSeek API to provide AI-powered responses. The bot supports streaming replies, making interactions feel more natural and dynamic. It offers features like AI responses, streaming output, command handling, and easy deployment. Users can configure the bot via environment variables for customization. The bot can be deployed locally or on a cloud server, and it supports custom commands and real-time responses.

Nexa SDK is a comprehensive toolkit supporting ONNX and GGML models for text generation, image generation, vision-language models (VLM), and text-to-speech (TTS) capabilities. It offers an OpenAI-compatible API server with JSON schema mode and streaming support, along with a user-friendly Streamlit UI. Users can run Nexa SDK on any device with Python environment, with GPU acceleration supported. The toolkit provides model support, conversion engine, inference engine for various tasks, and differentiating features from other tools.

RookieAI_yolov8 is an open-source project designed for developers and users interested in utilizing YOLOv8 models for object detection tasks. The project provides instructions for setting up the required libraries and Pytorch, as well as guidance on using custom or official YOLOv8 models. Users can easily train their own models and integrate them with the software. The tool offers features for packaging the code, managing model files, and organizing the necessary resources for running the software. It also includes updates and optimizations for better performance and functionality, with a focus on FPS game aimbot functionalities. The project aims to provide a comprehensive solution for object detection tasks using YOLOv8 models.

HIA (Health Insights Agent) is an AI agent designed to analyze blood reports and provide personalized health insights. It features an intelligent agent-based architecture with multi-model cascade system, in-context learning, PDF upload and text extraction, secure user authentication, session history tracking, and a modern UI. The tech stack includes Streamlit for frontend, Groq for AI integration, Supabase for database, PDFPlumber for PDF processing, and Supabase Auth for authentication. The project structure includes components for authentication, UI, configuration, services, agents, and utilities. Contributions are welcome, and the project is licensed under MIT.

FlowGram.AI is a node-based flow building engine that helps developers create workflows in fixed or free connection layout modes. It provides interaction best practices and is suitable for visual workflows with clear inputs and outputs. The tool focuses on empowering workflows with AI capabilities.

Kord-Ai is a WhatsApp bot designed to automate interactions on WhatsApp by executing predefined commands or responding to user inputs. It can handle tasks like sending messages, sharing media, and managing group activities, providing convenience and efficiency for users and businesses. The bot offers features for deployment on various platforms, including Heroku, Replit, Koyeb, Glitch, Codespace, Render, Railway, VPS, and PC. Users can deploy the bot by obtaining a session ID, forking the repository, setting configurations in the Config.js file, and starting/stopping the bot using npm commands. It is important to note that Kord-Ai is a bot created by M3264, not affiliated with WhatsApp, and users should be cautious in its usage.

AIHub is a client that integrates the capabilities of multiple large models, allowing users to quickly and easily build their own personalized AI assistants. It supports custom plugins for endless possibilities. The tool provides powerful AI capabilities, rich configuration options, customization of AI assistants for text and image conversations, AI drawing, installation of custom plugins, personal knowledge base building, AI calendar generation, support for AI mini programs, and ongoing development of additional features. Users can download the application package from the release section, resolve issues related to macOS app installation, and contribute ideas by submitting issues. The project development involves installation, development, and building processes for different operating systems.

MentraOS is an open source operating system designed for smart glasses. It simplifies the development of smart glasses apps by handling pairing, connection, data streaming, and cross-compatibility. Developers can create apps using the TypeScript SDK quickly and easily, with access to smart glasses I/O components like displays, microphones, cameras, and speakers. The platform emphasizes cross-compatibility, speed of app development, control over device features, and easy distribution to users. The MentraOS Community is dedicated to promoting open, cross-compatible, and user-controlled personal computing through the development and support of MentraOS.

ChatTTS is a generative speech model optimized for dialogue scenarios, providing natural and expressive speech synthesis with fine-grained control over prosodic features. It supports multiple speakers and surpasses most open-source TTS models in terms of prosody. The model is trained with 100,000+ hours of Chinese and English audio data, and the open-source version on HuggingFace is a 40,000-hour pre-trained model without SFT. The roadmap includes open-sourcing additional features like VQ encoder, multi-emotion control, and streaming audio generation. The tool is intended for academic and research use only, with precautions taken to limit potential misuse.

Open Interface is a self-driving software that automates computer tasks by sending user requests to a language model backend (e.g., GPT-4V) and simulating keyboard and mouse inputs to execute the steps. It course-corrects by sending current screenshots to the language models. The tool supports MacOS, Linux, and Windows, and requires setting up the OpenAI API key for access to GPT-4V. It can automate tasks like creating meal plans, setting up custom language model backends, and more. Open Interface is currently not efficient in accurate spatial reasoning, tracking itself in tabular contexts, and navigating complex GUI-rich applications. Future improvements aim to enhance the tool's capabilities with better models trained on video walkthroughs. The tool is cost-effective, with user requests priced between $0.05 - $0.20, and offers features like interrupting the app and primary display visibility in multi-monitor setups.

Lively Wallpaper is a tool that allows users to set animated desktop wallpapers, bringing their desktop to life. It supports various types of wallpapers including video/GIF, webpage, and application/games. Users can also use any wallpaper as a screensaver, control Lively with command line arguments, and leverage the Lively API for developers to create interactive wallpapers. The tool offers features such as minimal webpage renderer, hardware-accelerated video playback, and integration with Machine Learning inference for dynamic wallpapers. Lively is designed for Windows, is fully open-source and free, and supports Shadertoy.com URLs as wallpapers.

Lively Wallpaper is a tool that allows users to set animated desktop wallpapers, bringing their desktop to life. It supports various types of wallpapers including video/GIF, webpage, and application/games. Users can also use any wallpaper as a screensaver, control Lively with command line arguments, and leverage the Lively API for developers to create interactive wallpapers. The tool offers features such as minimal webpage renderer, hardware-accelerated video playback, and integration with Machine Learning inference for dynamic wallpapers. Lively is designed for Windows, is fully open-source and free, and supports Shadertoy.com URLs as wallpapers.

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.

OpenKore is a custom client and intelligent automated assistant for Ragnarok Online. It is a free, open source, and cross-platform program (Linux, Windows, and MacOS are supported). To run OpenKore, you need to download and extract it or clone the repository using Git. Configure OpenKore according to the documentation and run openkore.pl to start. The tool provides a FAQ section for troubleshooting, guidelines for reporting issues, and information about botting status on official servers. OpenKore is developed by a global team, and contributions are welcome through pull requests. Various community resources are available for support and communication. Users are advised to comply with the GNU General Public License when using and distributing the software.

OpenDevin is a platform for autonomous software engineers powered by AI and LLMs. It allows human developers to collaborate with agents to write code, fix bugs, and ship features. The tool operates in a secured docker sandbox and provides access to different LLM providers for advanced configuration options. Users can contribute to the project through code contributions, research and evaluation of LLMs in software engineering, and providing feedback and testing. OpenDevin is community-driven and welcomes contributions from developers, researchers, and enthusiasts looking to advance software engineering with AI.

CodeSandbox SDK enables users to programmatically spin up development environments and run untrusted code securely. It provides a programmatic API for creating and running sandboxes quickly. The SDK uses the microVM infrastructure of CodeSandbox, supporting features like snapshotting/restoring VMs, cloning VMs & Snapshots, source control integration, and running any Dockerfile. Users can authenticate with an API token, create sandboxes, run code in various languages, interact with the filesystem, clone sandboxes, get metrics, hibernate sandboxes, and more. The sandboxes are created inside the user's workspace in CodeSandbox, allowing for controlled environments and resource billing. Example use cases include code interpretation, creating development environments, running AI agents, and CI/CD testing.

This framework generates fuzz targets for real-world `C`/`C++` projects with various Large Language Models (LLM) and benchmarks them via the `OSS-Fuzz` platform. It manages to successfully leverage LLMs to generate valid fuzz targets (which generate non-zero coverage increase) for 160 C/C++ projects. The maximum line coverage increase is 29% from the existing human-written targets.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

OpenInference is a set of conventions and plugins that complement OpenTelemetry to enable tracing of AI applications. It provides a way to capture and analyze the performance and behavior of AI models, including their interactions with other components of the application. OpenInference is designed to be language-agnostic and can be used with any OpenTelemetry-compatible backend. It includes a set of instrumentations for popular machine learning SDKs and frameworks, making it easy to add tracing to your AI applications.