📦 pouzor/homelable

Visualize Your Entire Homelab with This Tool

Struggling to keep track of your complex home network setup? Meet Homelable, the self-hosted visualizer that turns your infrastructure into an interactive map. It automatically discovers devices using network scanning and even imports your Zigbee topology directly. You can monitor the live health of every service with custom checks like ping or HTTP requests, keeping you updated on what is online or offline. Whether you want to manage your devices or just create a beautiful, exported diagram of your setup, this project makes it easy to stay organized. Build your perfect digital dashboard and visualize your home today.

🆔 @hackernewsgithubprojects

📦 serveurpersocom/omnivoice.cpp

OmniVoice: Powerful Local AI Text-to-Speech

Imagine running high-quality AI voice synthesis entirely on your own hardware without needing a cloud connection. The omnivoice.cpp repository provides a C++ port of the OmniVoice system, allowing you to perform local text-to-speech with advanced voice cloning and voice design capabilities. It supports over six hundred languages and features flexible hardware acceleration for CPU, NVIDIA, AMD, and Apple Silicon. Whether you need to clone a specific voice from a reference file or design custom voices using simple keywords like age or emotion, this project offers a highly optimized, cross-platform toolkit to bring your text to life.

🆔 @hackernewsgithubprojects

📦 jianuo-huang/domino

Speed Up Your LLM Inference with Domino

Want to make your large language models run significantly faster without sacrificing quality? Meet Domino, a clever approach to speculative decoding that changes how we generate text. By decoupling causal modeling from autoregressive drafting, this method keeps draft generation block-parallel while introducing a lightweight causal correction head. This simple yet powerful addition significantly boosts the acceptance rate of draft tokens, making your models much more efficient during inference. Whether you are benchmarking performance or integrating it into your own workflows, Domino provides a specialized way to optimize LLM speed. Try it out to see how much faster your model generation becomes.

🆔 @hackernewsgithubprojects

📦 the-school-of-ai/llm

Train a 120B Model on ONE Node? Meet LightningLM!

Ever wonder how to train a massive 120-billion parameter model on just a single eight-GPU node? This repository unveils the LightningLM training pipeline, a revolutionary approach to model growth. Instead of training from scratch, it starts with a compact 2B dense seed and progressively evolves through 5B and 9B mixture-of-experts stages, finally reaching a 120B sparse model. By utilizing reversible architecture to save memory and specialized quantization for efficient scaling, this project makes cutting-edge training accessible without needing massive clusters. Dive into their cookbook to see how state-preserving growth can change the way you build AI models!

🆔 @hackernewsgithubprojects

📦 general-instinct/instinctrazor

Shrinking Giant AI Models Without Losing Intelligence

Ever wondered if you could shrink a massive artificial intelligence model without sacrificing its brainpower? The InstinctRazor repository provides a breakthrough framework for compressing a giant 122 billion parameter MoE model down to a manageable size that runs on a single high-end graphics card. By using uniform three-bit quantization, this project achieves near-lossless performance, allowing the compressed model to outperform footprint-matched baselines in reasoning and knowledge benchmarks. It includes reproducible pipelines for quantization and evaluation, proving that massive scale does not always require massive hardware. This repository effectively turns a memory-heavy beast into a deployable, efficient powerhouse.

🆔 @hackernewsgithubprojects

📦 russellsb/pytrendy

Stop Guessing, Start Detecting Trends with PyTrendy

Are you struggling to make sense of messy, noisy time series data? PyTrendy is a powerful Python package designed to take the headache out of trend detection. Unlike standard tools that get easily confused by spikes or flat periods, this library offers high-precision analysis for both gradual and abrupt trends. Whether you are working on causal inference or just trying to understand historical data patterns, PyTrendy lets you identify and summarize shifts automatically with simple functions. Stop scrolling through charts manually and let this tool extract the insights for you, bringing professional clarity to your next data project.

🆔 @hackernewsgithubprojects

📦 ddlbojack/mmae

Is Your AI Actually Good at Audio Editing? Meet MMAE

Are you tired of guessing if your audio editing AI is actually working correctly? Meet MMAE, the first massive multitask benchmark designed to put those models to the test. It features two thousand high-fidelity samples across seven audio modalities, ranging from simple edits to complex multi-round tasks. By using a pioneering rubric-based framework that breaks down free-form audio instructions into thousands of verifiable criteria, it provides a precise diagnostic roadmap for your systems. Whether you are building music, speech, or sound tools, this benchmark offers the objective data you need to push your AI performance further starting today.

🆔 @hackernewsgithubprojects

📦 justiny7/pigs

Running Gaussian Splatting on a Raspberry Pi Zero!

Ever wondered if a tiny, bare-metal Raspberry Pi Zero could handle advanced 3D rendering? This project brings real-time Gaussian splatting directly to the hardware, bypassing traditional operating systems to push the limits of performance. By writing custom QPU kernels and utilizing efficient memory management, the software renders complex 3D models with impressive speed and interactivity. It features a custom menu, manual camera controls, and even handles file loading from an SD card, proving that high-end rendering techniques are possible on minimal hardware. Check out this impressive feat of engineering to see exactly how far bare-metal optimization can take you.

🆔 @hackernewsgithubprojects

📦 pineforge-4pass/pineforge-engine

Backtest PineScript Strategies at High Speed with PineForge

Stop relying on rough approximations for your trading strategies and start using PineForge, a high-performance C plus plus backtest engine designed for PineScript v6. This tool solves the problem of unreliable, non-deterministic backtests by running the real computational logic with strict trade-for-trade parity against TradingView. Whether you are automating parameter sweeps or embedding high-speed analytics into your own applications, PineForge offers microsecond-class execution and a stable C ABI. It is a powerful, fully local solution for developers who need bit-reproducible, reliable performance. Start building smarter, faster, and more accurate trading models with this essential engine today.

📰 https://news.ycombinator.com/item?id=48387674

🆔 @hackernewsgithubprojects

📦 hayatohongo/everyonesllm

Build Your Own AI: A Step-by-Step Guide

Have you ever wondered how ChatGPT actually works under the hood? This incredible project offers a hands-on journey into deep learning, guiding you through building your very own nano-GPT model from scratch. Instead of just reading theory, you will work through over one hundred interactive, fill-in-the-blank coding exercises designed to help you master essential components like token embeddings, attention heads, and transformer blocks. By following these clear, chapter-based tutorials in Google Colab, you can turn complex mathematical concepts into functional code that generates text. Dive in today and start your transformation from curious enthusiast to active AI builder.

🆔 @hackernewsgithubprojects

📦 kocoro-lab/shannon

Stop Debugging AI Failures: Meet Shannon

Are you tired of AI agents failing silently in your production environment? Shannon is a production-oriented multi-agent orchestration framework designed to help you ship reliable agents that actually work. It solves the chaos of agent development by providing temporal workflows, hard token budget controls, and built-in observability with OpenTelemetry and real-time event streaming. You can even use time-travel debugging to replay execution steps and pinpoint exactly where things go wrong. Whether you need swarm collaboration or secure WASI sandboxing for code execution, Shannon offers the robust infrastructure needed to scale. Stop guessing and start shipping professional AI systems today.

🆔 @hackernewsgithubprojects

📦 bv-venky/excalidraw-architect-mcp

Build Architecture Diagrams Effortlessly with This MCP Tool

Struggling to visualize complex codebases without messy diagrams? Meet an offline tool that turns your architecture into a living, queryable knowledge graph and renders beautiful Excalidraw diagrams automatically. Instead of forcing AI to guess coordinates and ruining the layout, this server uses the Sugiyama algorithm for perfect spacing and architecture-aware styling for over fifty technologies. You can naturally iterate on your diagrams with language commands to add or rewire components, all while keeping your data version-controlled and human-readable. It is a powerful way to document systems locally in your favorite IDE without needing any API keys.

📰 https://news.ycombinator.com/item?id=48442396

🆔 @hackernewsgithubprojects

📦 nanoagentteam/research-claw

Meet Your New Personal AI Research Assistant

Stop jumping between tabs and struggling to stay organized with your academic writing. This project is a self-hosted AI assistant designed specifically for researchers. It manages your LaTeX projects, syncs directly with Overleaf, tracks important conference deadlines, and handles literature searches for you. You can even delegate complex writing or research tasks to specialized sub-agents that work in isolated environments. Best of all, you can chat with your research assistant through the channels you already use, like Telegram or your command line. Simplify your workflow today and get back to focusing on your actual research.

📰 https://news.ycombinator.com/item?id=47466487

🆔 @hackernewsgithubprojects

📦 aristoapp/awesome-second-brain

Build Your Own AI Second Brain

Are you tired of losing track of your notes, chats, and team knowledge in a sea of disconnected apps? This repository provides a curated collection of solutions for building a self-evolving second brain that keeps your digital context organized and ready for AI agents. Instead of manually juggling information, you can explore tools that automate data capture, organize raw facts into durable knowledge, and ensure your memory improves over time. Whether you need local privacy or team-wide collaboration, it helps you navigate various systems to find the perfect fit for your workflow. Start building a smarter digital workspace today.

🆔 @hackernewsgithubprojects

📦 evotai/evot

Stop Wasting Tokens: Meet Evot, the Self-Evolving AI Coding Agent

Are your AI coding tasks costing you a fortune in tokens? Meet Evot, an intelligent agent engine designed to handle complex, long-running software engineering work while keeping your token usage and costs impressively low. Unlike other agents that rely on expensive LLM calls to manage memory, Evot uses a high-performance, four-pass algorithmic compaction pipeline in Rust to keep context lean and high-density. Whether it is spilling tool results to disk or automatically summarizing old conversation turns, Evot ensures your model stays focused. Stop wasting context and start completing tasks faster with a tool built for efficiency and precision.

📰 https://news.ycombinator.com/item?id=47427436

🆔 @hackernewsgithubprojects

📦 ferdinandobons/brand-docs

Stop Ruining Your Templates with AI

Are you tired of AI generators that ruin your company branding? Meet the solution that actually respects your design. This open source tool turns your existing Word, PowerPoint, and Excel templates into reliable generation skills. Instead of guessing your styles, it extracts your specific brand profile, including fonts, colors, and document structure, ensuring your output remains on brand by construction. It perfectly preserves formulas and layouts, making it ideal for professional reports and decks. Stop fighting with messy AI outputs and start producing consistent, high-quality documents every single time. Try this out to keep your corporate brand look locked tight.

🆔 @hackernewsgithubprojects

📦 google/skills

Master Google Cloud & AI with Agent Skills

Ever wish you had a smarter way to manage your Google Cloud infrastructure and AI models? This repository provides a collection of agent skills designed to help you streamline workflows across Google Cloud and various AI platforms. Whether you are deploying models, managing databases like AlloyDB, or optimizing your cloud architecture, these resources offer clear guidelines and automated scripts to get the job done efficiently. It acts as a practical toolkit for developers looking to integrate powerful cloud capabilities into their own projects with confidence. Explore these ready-to-use skills and start simplifying your technical operations today.

🆔 @hackernewsgithubprojects

📦 phuryn/pm-skills

The AI Toolkit for Product Managers

Are you a product manager tired of generic AI responses that lack real substance? The PM Skills Marketplace is a powerful collection of over one hundred agentic skills and structured workflows designed to upgrade your daily product work. Instead of just generating basic text, this system encodes proven frameworks from industry experts into your AI assistant. You can perform complex tasks like generating structured PRDs, mapping customer journeys, or even analyzing A/B tests with simple commands. It effectively turns your AI into a seasoned product partner, providing the rigor and strategy needed to make better, data-driven decisions today.

🆔 @hackernewsgithubprojects

📦 langchain-ai/deepagents

Deep Agents: The Batteries-Included Agent Harness

Stop building agent infrastructure from scratch and meet the batteries-included harness designed to get your projects production-ready fast. This opinionated tool provides a powerful framework for building autonomous agents that can plan, manage context, and handle complex, multi-step tasks right out of the box. It offers critical features like sub-agent delegation, persistent memory, and human-in-the-loop approval processes, all built on top of robust foundations for reliable deployments. Whether you need to automate research or manage custom workflows, this harness simplifies the process. Grab the tools you need today to start building more capable, reliable AI agents.

🆔 @hackernewsgithubprojects

📦 asheshgoplani/agent-deck

Stop Switching Tabs: The Ultimate AI Coding Agent Manager

Are you tired of juggling a dozen terminal tabs while trying to manage your AI coding agents? Keeping track of Claude, OpenCode, and other sessions can quickly become a chaotic mess. Agent Deck acts as your mission control, providing a single terminal interface to manage every agent session you have running. It offers instant visibility into your agent status, lets you jump between projects in milliseconds, and simplifies complex workflows like forking sessions or managing MCP servers. Take control of your development environment, stay perfectly organized, and let Agent Deck handle the orchestration so you can focus on building.

🆔 @hackernewsgithubprojects