📦 vistyy/nopus

Nopus Catches When AI Coding Agents Start Babbling

Nopus automatically intercepts coding agent responses that slip into dense, abstract academic language. Instead of letting you read through walls of jargon, this tool measures the readability of your code assistant's text and flags it if it gets too complicated. It then asks the AI to rewrite the answer in plain, direct English. You can adjust how sensitive this check is, ranging from catching only the worst offenders to demanding simple answers every time. The goal is to keep your coding sessions clear and actionable without you having to constantly rephrase your prompts.

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📦 mengto/sylva

The Moss World That Reacts to Your Mouse

Sylva lets you move through a living, moss-covered landscape that reacts to your cursor as if it were alive. This is a procedural 3D study built with Three.js, where a massive root system grows entirely from code rather than pre-made models. The most surprising part is that the moss parts around your mouse and releases a trail of pollen as you move, making the static scene feel organic and responsive. It renders up to a quarter million blades of moss in real-time, all generated deterministically so the landscape looks the same on every load.

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📦 dob323/session-kit

Session Kit: Tame Your AI Coding Chaos

Keep your AI coding agents from crashing when your connection drops. Session Kit gives every Claude Code and Codex session a stable number, a unique color, and a clear status that tells you instantly if it is stuck or just churning. It runs on the host, so your work survives SSH disconnects, and it uses a strict safety check to ensure you never accidentally mess with the wrong session. The coolest part is that you can run multiple subscriptions side by side, giving each agent its own login. This tool is your control center, making sure you always know exactly which brain needs your attention next. Stop guessing, start managing.

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📦 walkinglabs/learn-harness-engineering

Learn Harness Engineering: Stop Your AI Agents From Failing

AI coding agents are incredibly smart, yet they still fail constantly because they guess at your project's rules instead of knowing them. Learn Harness Engineering is a complete beginner tutorial that fixes this by turning your code folder into a strict instruction set for the AI. It walks you through fourteen lectures and hands-on projects to teach you how to stop your agent from losing track of what it is doing or finishing halfway. This is not about learning to code, but about learning how to manage an AI teammate so it actually gets the job done right.

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📦 therepanic/openleetcode

Open LeetCode: Test Your Code Locally

LeetCode test cases are usually hidden behind a paywall, but a project called Open LeetCode changes that. It is a local tool written in Haskell that lets you run algorithm challenges right on your own computer. You simply drop in your solution file for any language, and it uses open, visible test suites to judge your code instantly. This removes the guesswork of debugging without knowing exactly which inputs failed. The whole system is transparent because every test and rule lives in the public repository, so you can see exactly how your solution is evaluated.

📰 https://news.ycombinator.com/item?id=49347178

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📦 nvidia/tensorrt-model-connect

TensorRT Model Connect: The Two-Command AI Pipeline

TensorRT Model Connect is the bridge that turns any PyTorch model into a blazing-fast, production-ready inference engine in just two commands. It completely eliminates the manual headache of optimizing models for your hardware, handling the complex conversion to TensorRT for you, so you can go from a raw model file to a highly optimized, cross-platform runtime without writing a single line of glue code. The tool automatically handles precision tuning, kernel selection, and backend setup, ensuring your models run at their absolute peak performance on your specific GPU. This is the ultimate shortcut for developers who want maximum speed and minimum setup friction.

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📦 vizart-vj/comfyui-minimax-h3-longmedia

ComfyUI MiniMax H3 LongMedia: Run Long Videos on Small GPUs

ComfyUI MiniMax H3 LongMedia allows you to generate continuous, long-form video and audio on hardware that would normally crash under the weight of a single long pass. The project’s most surprising capability is its geometry-aware memory guard, which prevents your graphics card from freezing by streaming attention layers and compressing data in real-time. This is a set of custom nodes for the ComfyUI platform designed specifically for the MiniMax H3 model. It solves the problem of running high-resolution, multi-clip video generations without needing a massive, expensive workstation.

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📦 squall01337/mixamo-llm-mocap

Mixamo LLM Mocap: Turn Any Video Into Animation

You can turn any static video into a clean, playable animation for any character, without a single motion capture suit or manual keyframe. Mixamo LLM Mocap uses computer vision to read human movement from the footage, then automatically maps that motion onto your chosen digital rig inside Blender. It even handles two people fighting in the same scene, keeping their movements realistic and grounded. The most surprising part is that an AI agent can run this entire process end-to-end, meaning no human needs to touch the software at all.

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📦 rizriyz/bohay

Bohay: The Mission Control for Your AI Agents

Bohay is a single three megabyte binary that turns your chaotic terminal tabs into a unified mission control for your AI coding agents. The biggest headache with AI coding is that you end up with ten different windows open, half of which are stuck waiting for permission while you forget about the others. Bohay solves this by tracking every agent in one place and showing you exactly which one is blocked, working, or done. You can jump straight to the agent needing your attention without digging through windows. It even remembers your entire setup, so if your terminal closes, your sessions and layout come back exactly as they were.

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📦 msllrs/relay

Relay: Dictate Your LLM Prompts

Relay is the macOS menu bar app that finally lets you talk to your AI instead of typing. It solves the annoying problem of building complex prompts by letting you dictate while it automatically grabs anything you copy from your screen. You do not have to hunt for files or switch tabs. Just speak, and your notes, code snippets, and links assemble themselves into a perfect, ready-to-paste prompt. It even understands when you draw a circle on your screen to point out what you mean. The coolest part is that it turns your scattered thoughts into a clean, structured message with zero manual formatting.

📰 https://news.ycombinator.com/item?id=47709858

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📦 shanliuling/dsh-image-gen

Make Your AI Agent Draw Images

DeepSeek Harness agents can now generate images directly inside the chat window, just like you would with a standard AI assistant. This open-source plugin, dsh-image-gen, bridges that gap by letting your agent automatically call image generation tools and render the results right in the conversation flow. It works with Google Gemini, OpenAI, and other providers, so you don't need to copy prompts to external sites anymore. You simply ask your agent to draw something, and the picture appears instantly. The images are even saved with the chat history, so you can revisit them later.

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📦 tobi/audioprioritybar

Audio Priority Bar: The Mac Fix For Audio Chaos

Plug in your headphones, and your Mac immediately switches to them, ignoring the speakers you were using. Audio Priority Bar solves this annoying habit by letting you rank your audio gear so the right one always wins. It separates your speakers from your headphones into distinct priority lists, ensuring that if you drop the volume on your desk speakers, they don't fight with your earbuds for attention. The app quietly lives in your menu bar, watching for new connections and automatically selecting the highest-priority device for each category. You can even tweak the order by dragging items around or setting a manual override when you just want total control.

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📦 mikiarlo3/ai-copywriter

AI Copywriter

Generate marketing copy that actually sounds human. This project, called AI copywriter, fixes the robotic tone that usually makes AI writing feel cold and generic. It works by combining real marketing skills with a strict set of rules designed to strip away every sign of artificial text. Before writing, it interviews you about your reader's specific feelings and your product's story. The result is punchy headlines and clear descriptions that feel like a person wrote them, not a machine. It is a simple tool that helps you connect with your audience using genuine language and real facts.

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📦 oniondas/awesome-hidden-ai-credits-free

10 Billion Free AI Tokens

One developer compiled a list that gives away ten billion free tokens every month, worth over one thousand six hundred dollars. This repository catalogs lesser-known platforms and APIs offering massive allowances, daily credits, and generous free tiers for text, images, and audio. It solves the problem of expensive compute costs by aggregating hidden resources into one place. You get access to top models through these free gates without paying for premium subscriptions. The maintainer updates the list weekly to ensure every link and limit remains accurate. It is a practical guide to building with advanced tools on a budget.

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📦 omdsh-dev/dsh-at-file

dsh-at-file: Point AI to Files Without Reading Them

The DeepSeek Harness plugin dsh-at-file lets you point an AI agent directly at specific workspace files using simple at-sign mentions, without manually pasting massive blocks of code into your chat. You type an at-sign in the composer, search for a file by name, and select it. The plugin then securely verifies that the file actually exists in your project before the agent starts working. Instead of sending the file's entire content to the AI, it just tags the file path as a reference.

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📦 henryqin1997/statem

StateM: The Runbook for Long AI Tasks

Keep AI agents on track during long tasks by storing their progress in a simple file-based runbook instead of relying on their memory. StateM works by turning complex workflows into a clear map of steps, where the agent can only move forward when it passes specific tests. This prevents the goal from getting lost or the agent from skipping important checks during a long session. It essentially acts as a durable note-taking system that survives even if the chat history is cleared. The result is a reliable way to handle complex work without needing a heavy workflow engine.

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📦 yunpeng1998/qwen-video-edit

Edit Video with an Image Model

Rewrite any video using a simple text command without training a brand new system. The project, Qwen Video Edit, takes a powerful image editing model and teaches it to handle video frames by treating them like a grid of pictures. It uses tiny, lightweight connections to bridge the gap between the image model and video data, allowing it to understand motion without expensive retraining. This means you can apply specific changes to long videos chunk by chunk, keeping everything consistent. It is a clever workaround that turns a single image tool into a full video editor.

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📦 csslc/pixrestore

PixRestore: The One-Step Image Fixer

PixRestore just dropped a model that fixes your blurry photos in a single pass, skipping the slow multi-step generation process that usually makes this take forever. Instead of relying on compressed latent spaces, it works directly on the raw pixels, which keeps the details crisp and avoids the weird artifacts you often see. It is built to handle a wide range of image problems in one go, so you do not need a different tool for noise or blur. The team also added a fast inference mode that lets it run quickly without sacrificing quality.

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📦 shapsider/pertmind

PertMind

Cellular perturbation databases can actually be turned into reinforcement learning environments where measured gene responses act as reward signals. A new project called pertmind is testing this very concept by utilizing experimental cellular outcomes to train biological language models. Instead of relying on manual training data, it uses public perturbation atlases to guide artificial intelligence toward structured biological reasoning. The system helps researchers predict how specific genes will react to custom cellular modifications or drug screens. By turning biological data into a learning playground, pertmind provides scientists with a smarter way to explore cellular behavior and generate fresh research hypotheses.

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📦 fresh-ma/harmprofile

The Hidden Map of AI Harm

Stop looking at AI safety as just a pass or fail grade. HarmProfile flips the script by mapping the actual harmful content models spit out, creating a distinct risk fingerprint for each system. Researchers collected over eighty thousand real examples from twenty-three major AI models, showing that while bigger models are better at talking, they often hide deeper, more dangerous knowledge underneath. It is like giving every AI a medical checkup based on its mistakes instead of just its good deeds. This dataset helps us see exactly where and how these systems go wrong.

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