56 subscribers
7.25K videos
7.86K links
Download Telegram
This media is not supported in your browser
VIEW IN TELEGRAM
📦 abilityai/trinity

Trinity: Deep Agent Orchestration Platform

Are you tired of managing autonomous AI systems in isolation? Trinity is a powerful deep agent orchestration platform designed for sovereign infrastructure. It helps developers deploy, orchestrate, and govern complex autonomous AI agents through a centralized system. You can easily manage multi-agent collaboration, handle complex workflows with sequential or parallel tasks, and maintain granular control over agent permissions and scheduling. With integrated support for tools like Slack and Telegram, it simplifies the lifecycle management of your agents. Whether you are building research analysts or task-specific helpers, Trinity provides the essential framework to scale your AI operations effectively.

🆔 @hackernewsgithubprojects
Media is too big
VIEW IN TELEGRAM
📦 coreyhaines31/marketingskills

Supercharge Your AI Agents with Marketing Expertise

Want your AI agent to think like a seasoned CMO? This repository provides a comprehensive collection of marketing skills designed specifically for AI agents like Claude Code. It solves the problem of generic AI outputs by giving your agents specialized frameworks for conversion optimization, SEO, copywriting, and growth engineering. By using these markdown-based skill files, your agent gains access to professional templates and expert workflows for complex tasks like A/B testing or site architecture. Enhance your technical stack today and transform your AI into a powerful marketing partner that truly understands how to drive results.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 rakile/neuralcompanion

Build Your Own Custom AI Companion on Windows

Ever wanted to create a fully personalized AI companion right on your own desktop? This project offers a powerful, addon-driven platform for Windows that brings together chat, speech, and visual avatars into one cohesive experience. Whether you want to roleplay with custom personas, use local models like Ollama, or drive interactive avatars through engines like MuseTalk and VSeeFace, this flexible system handles it all. It solves the complexity of managing disparate AI tools by providing a unified, configurable runtime that grows through community addons. Dive in to customize your digital partner today and take full control of your AI journey.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 google-deepmind/representations4d

Understanding 4D Representations from Google DeepMind

Have you ever wondered how AI models truly track objects moving through space and time? The 4D Representations repository from Google DeepMind offers a powerful toolkit for exactly that. It explores advanced self-supervised learning for videos, helping models go beyond simple images to understand depth, camera motion, and object tracking. By leveraging transformer architectures and innovative techniques like off-the-grid token movement, these models effectively learn from dynamic scenes. Whether you are interested in recurrent masked autoencoders or aligning multi-sensory visual data, this project provides the essential tools and checkpoints to push the boundaries of modern computer vision.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 advdebug/brovan

Brovan: The Ultimate Emulator for Reverse Engineering

Are you tired of invasive debugging tools that tip off the malware you are trying to analyze? Meet Brovan, a powerful user-mode x86_64 binary emulator built for deep security research. Instead of running binaries directly on your CPU, Brovan provides a safe, sandbox environment that lets you inspect execution flow, trace system calls, and even dump network traffic without the binary knowing it is being watched. Whether you are dealing with PE, ELF, or raw memory dumps, this tool gives you total control. Dive into your next reverse engineering project with the visibility you need to truly understand binary behavior.

📰 https://news.ycombinator.com/item?id=48155896

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 archie-judd/agent-sandbox.nix

Run AI Agents Safely with Declarative Sandboxing

Stop worrying about your AI agents running wild and accidentally deleting your files or exposing your secrets. This project provides a lightweight, declarative sandboxing solution for CLI-based AI agents on Linux and macOS using Nix. By leveraging bubblewrap and system-level security profiles, it enforces strict boundaries on what your agents can access, read, or write. You can explicitly declare allowed directories, restrict network traffic to specific domains via a proxy, and keep your home directory protected. It is the perfect way to confidently run powerful agents while keeping your local machine completely secure and under your control.

📰 https://news.ycombinator.com/item?id=47321775

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 bobjohnson24/comfyui-int8-fast

Boost Your ComfyUI Speed with INT8 Quantization

Want to supercharge your image generation speeds in ComfyUI? This repository offers a custom node that utilizes INT8 quantization to accelerate models like Flux2, Ideogram4, and Chroma. By reducing the precision of model weights and activations, it delivers a massive 1.5 to 2 times speed boost on NVIDIA 30-series GPUs and beyond. It supports powerful features like torch compile and LoRA integration, helping you generate high-quality outputs faster than ever before. Whether you are working with on-the-fly quantization or pre-quantized checkpoints, this tool is a game-changer for efficient AI workflows. Give your GPU the speed upgrade it deserves today.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 somnusochi/vlm-autoyolo

Supercharge Your YOLO Workflow with AI Auto-Labeling

Stop wasting hours on manual object annotation and speed up your computer vision projects with this powerful AI-driven platform. It creates a seamless end-to-end pipeline that turns your images and videos into trained YOLO models with ease. By leveraging advanced tools like LocateAnything-3B for auto-labeling and SAM2 or SAM3 for precise segmentation, the system automates the heavy lifting of data preparation. You can refine masks, extract video keyframes, and trigger training with a single click. It even manages GPU memory for you across Mac and Windows. Experience a smarter, faster way to build and validate your custom detection models today.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 jpandrebta/nexus-bta

Nexus BTA: A Powerhouse Studio for Local AI Generation

Are you tired of juggling complex AI tools just to get a simple generation? Meet Nexus BTA, a streamlined AI experiment studio that brings professional-grade control to your desktop. Built around an embedded ComfyUI runtime, this project offers a clean, unified interface for image, video, and 3D generation. Whether you are working with SDXL, Flux, or LTX 2.3 video, you can manage prompts, inspect complex node workflows, and handle model organization all in one place. It simplifies your creative pipeline, making advanced local AI accessible and efficient. Give your workflow an upgrade and start creating with total control today.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 lubludrova/rl-handbook

Master Reinforcement Learning with This Open-Source Handbook

Are you looking to master reinforcement learning? This comprehensive handbook is the perfect guide, taking you from fundamental concepts to modern, advanced algorithms. It is designed as a living, open-source resource that balances clear mathematical theory with practical, runnable code examples. You will explore critical topics like value-based methods, actor-critic architectures, and model-based planning, all structured to help students and researchers alike. Whether you are learning how agents interact with environments or diving into complex policy gradients, this project provides the intuition you need to succeed. Start your journey into intelligent systems and explore the field today.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 avibe-bot/avibe

Take Control of Your AI Agents with Avibe

Is your AI agent trapped on your local terminal? Meet Avibe, a local-first Agent OS that turns your computer into a permanent home for your AI partners. Instead of being stuck at your desk, Avibe lets you drive official Claude Code, Codex, and OpenCode from any web browser or chat app like Slack and Discord. It features a powerful Agent Harness to schedule and monitor tasks while keeping your code and data secure on your own machine. Whether you are at a cafe or on a flight, Avibe keeps your agents accessible. Take control of your workflow and stay connected everywhere.

📰 https://news.ycombinator.com/item?id=48441230

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 perminder-klair/subwave

Build Your Own AI Radio Station

Ever wanted to host your own personal internet radio station with a live AI DJ? This project transforms your music library into a genuine, shared broadcast where every listener hears the same track at the same time. You get a fully autonomous AI that curates your songs, reads the weather, and chats between tracks just like a pro. You can even use plain language to request songs, and it handles everything from voice cloning to crossfading. It is an amazing way to experience your collection, so if you are ready to take control of the airwaves, dive in and start broadcasting.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 giancarloerra/socraticode

Master Huge Codebases with SocratiCode

Ever feel overwhelmed by millions of lines of code? SocratiCode is an intelligent, zero-setup tool designed to help you navigate massive enterprise-grade repositories with ease. By creating local, private dependency graphs and using hybrid semantic search, it lets you map out complex systems in seconds rather than hours. You can instantly visualize call flows, calculate the blast radius of potential refactors, and query database or infrastructure knowledge alongside your code. It makes understanding large projects significantly faster and more accurate, keeping your development workflow smooth and efficient. Stop guessing where features live and start exploring your codebase like a pro.

🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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
This media is not supported in your browser
VIEW IN TELEGRAM
📦 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