📦 dream-num/dsh-univer-office

Turn Natural Language Into Office Files With DSH Univer Office

Imagine asking an AI to build a complex spreadsheet or presentation deck and having it actually do the work, right in front of you. DSH Univer Office connects that power to DeepSeek Harness, letting you create, edit, and inspect spreadsheets, documents, and slides just by describing what you need in plain English. The coolest part is the live preview: as the AI builds your file, you can watch the changes happen in a window right next to your chat. It handles everything from calculating formulas to laying out slide pages, and even checks for messy text overflow so your work looks clean.

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📦 azrtydxb/procoder

Procoder: The Senior Developer Guardrail for AI

Procoder acts as a strict senior developer for your AI coding agents, refusing to let them commit code that is actually broken. It works by installing a hard commit gate that treats any unchecked tool or failed lint as a failure, ensuring no unfinished work slips through. The binary itself never touches your files, but it blocks the commit until the agent fixes every issue, from merge conflict markers to junk files. It even remembers past mistakes to prevent the same bugs from recurring, forcing the agent to act like a professional engineer instead of a guessing game.

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📦 andysalerno/r9700-serving

Run AI Locally on R9700s

Serve a large language model locally using two AMD R9700 graphics cards. This project provides the exact Docker files and configuration needed to run VLLM on this specific hardware, bypassing the usual setup headaches. It includes benchmarks proving the system can handle a twenty-seven billion parameter model with impressive speed. The repository tracks different software versions to show what actually works on your machine. If you have R9700s and want to run AI privately, this is the blueprint you need to get started.

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📦 furkankly/rataflow

Rataflow: Node Editors in the Terminal

Rataflow brings a fully interactive node-based editor to your terminal, letting you drag boxes and wire them together using your mouse without leaving the command line. Normally, terminal apps are limited to static text grids, but this library solves that by handling complex mouse interactions like panning, zooming, and connecting nodes with smooth animations. It works by rendering to a grid of characters, making it perfect for building visual tools that feel like modern desktop apps but run anywhere you can open a console.

📰 https://news.ycombinator.com/item?id=49345146

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📦 yukonga/ghostlock-app

GhostLock: One Tap to Root

A single tap on your phone can grant full system privileges without a traditional root manager. GhostLock is an Android app that exploits a race condition in the Linux kernel to escalate from a normal app to root access, bypassing standard permission boundaries. It works by running a native binary that races two CPU cores, effectively forcing the system to hand over administrative control. This is strictly for supported devices with specific kernel versions, and you need KernelSU or ReSukiSU installed to load the necessary modules.

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📦 zachahn/vomit

Vomit Fixes Claude's Garbled Speech

Vomit turns Claude’s garbled token spam into plain English using a separate local model. It works entirely on your machine, so your data never leaves your computer. When Claude tries to speak, this tool catches the output, pipes it to a local language model, and rewrites it into clear, human-readable text. You can run it as a background hook or use it to translate old session logs. It’s a quirky, practical solution for anyone finding the default output too noisy. If you run local LLMs, this is the cleanest way to keep your focus on the actual code rather than decoding robot-speak.

📰 https://news.ycombinator.com/item?id=49375996

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📦 ant-research/4danyone

Turn One Phone Clip Into 4D with 4DAnyone

4DAnyone is the video generator that takes a single casual phone clip and turns it into a fully explorable four-dimensional character. You do not need a special camera rig or expensive studio setup to capture someone moving in three dimensions. This tool accepts one standard video of a person and predicts how they look from every possible angle, including views from above, behind, and around them. It handles the tricky work of matching the motion and lighting so the generated angles look consistent. Once you have those multiple views, you can feed them into standard reconstruction tools to build a realistic digital twin.

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📦 fireredteam/fireredtts3

FireRedTTS3: Design Any Voice With Words

FireRedTTS3 lets you create a completely new human voice using only a text description, with no reference audio required. This open source project unifies voice cloning, voice design, and speech editing into one system. The surprising capability is its instruction-guided voice design, where you can describe traits like gender, age, timbre, and emotion in plain language to generate a unique speaker. It supports twenty four languages and twenty one Chinese dialects, making it highly versatile for global applications. By treating speech as a semantic representation, it allows for precise control over both the sound and the meaning of the audio.

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📦 google-research/envharness

Make AI Training Environments Dynamic

Turn frozen test environments into dynamic training grounds that adapt to an agent's specific weaknesses. Traditional benchmarks stay static, so they stop helping once the agent solves them. EnvHarness wraps existing benchmarks with plug-in components that reshape the starting state and interaction rules without touching the internal code. This allows a designer agent to diagnose flaws and generate targeted challenges in real time. The result is that skills learned in these dynamic worlds transfer back to the original benchmarks, boosting success rates and reducing the steps needed to solve tasks.

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📦 albertobarnabo/lazy-cat

How Lazy-Cut Saves 178x in AI Coding Costs

Imagine your AI assistant is a brilliant engineer who never sleeps and never asks questions. It just starts building. The problem is that this thoroughness often leads to massive waste, where simple tasks consume thousands of unnecessary tokens. A new project called lazy-cat changes this by teaching AI agents to be productively lazy. It forces the AI to pause and ask if there is a smarter, cheaper way to solve the problem before it starts writing code. In one test, generating five hundred user profiles took sixty-six thousand tokens without this tool, but only three hundred and seventy-two tokens with it.

📰 https://news.ycombinator.com/item?id=48450852

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📦 arvids-unavailable/opengym

Own Your Gym Data with openGym

Your fitness data currently lives in a corporate database, but openGym changes that by letting you run the entire app on your own hardware. This self-hosted tracker stores your workout history and body weight as simple files on your machine, meaning nobody else has access to your progress. It features a massive exercise library with animated demos and uses passkeys for secure, password-free login. The best part is that it works offline and syncs across your devices without any subscription fees or ads. You back up everything with a single folder copy, ensuring your training history is truly yours forever.

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📦 cyanchemistvoid/jiocinema-apex

JioCinema Apex: The Offline Streaming Toolkit

JioCinema Apex lets you download your favorite streams and watch them without a single second of buffering, even in a dead zone. It acts as a toolkit that handles offline mode, queue management, and recommendation engine access all in one package. You can save content for offline viewing on any device you own, and it keeps your progress synced across multiple screens at once. The setup is straightforward: grab the package, unzip it, and run the main file to start streaming. It is completely free to use, making it a handy tool for anyone who wants to control their viewing experience without relying solely on a constant internet connection.

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📦 mrbizarro/phosphene

Phosphene: Generate Videos and Voices Entirely on Your Mac

Phosphene turns your Mac into a complete local video studio, generating synchronized audio and video clips without a single cloud API call. You can train a custom digital character using just a handful of photos, then render that specific face speaking your lines in about six minutes on high-end Apple Silicon. This solves the major privacy headache of uploading sensitive creative assets to remote servers, keeping your entire workflow strictly on-device. It is the first tool to make character-consistent video generation as simple as a one-click install, proving that powerful AI media creation does not require expensive GPU clusters.

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📦 robotis-git/ai_sapiens

AI Sapiens: The Open Humanoid Bridge

AI Sapiens is the open humanoid platform that brings trained AI models directly to physical hardware. This repository from Robotis provides the essential ROS 2 tools to run neural policies on their K1 robot. It solves the difficult problem of transferring simulation logic into the real world. The sim-to-real bridge handles everything from safe startup checks to real-time joint control. It ensures your robot moves precisely and safely. You can switch between manual teleop and automated AI behavior with a single command. This setup makes it easy to test new movements without breaking your hardware. It is the practical foundation for anyone building physical AI.

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📦 voltagent/awesome-claude-skills

The Massive Library for AI Coding Skills

Plug in ready-made superpowers to your favorite AI coding assistants and make them do specific jobs instantly. This massive directory gathers over a thousand specialized skills from official dev teams and the community, compatible with tools like Claude Code, Cursor, and Gemini CLI. Instead of writing complex instructions from scratch, you simply point to a skill that handles tasks like testing, marketing, or automation. It solves the problem of generic AI outputs by giving your assistant precise, proven expertise in plain text. The best part is that these skills are community-adopted and strictly curated, so you are not guessing if they work.

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📦 bandarlabs/cobalt

Cobalt: The App Store for Your Kobo E-Reader

Turn your Kobo Clara BW into a full-featured handheld device with Cobalt. This open-source platform installs over USB and lets you download, update, and remove apps directly over Wi-Fi, just like a smartphone. The standout feature is the App Store, which delivers signed apps independently of the platform, meaning you can install a new game or tool without ever touching your computer again. It includes a Rust SDK and simulator, so developers can build native apps that run safely in isolated processes. From Sudoku to a terminal, this project transforms a simple e-reader into a versatile, interactive gadget.

📰 https://news.ycombinator.com/item?id=49141871

🆔 @hackernewsgithubprojects

📦 iamcorey/wake

Wake: The Missing Library for Your AI Coding Agents

Stop digging through hidden folders to find that one prompt from last week. Wake is a native macOS app that acts as a unified library for every coding agent session on your computer, pulling data from tools like Claude Code, Codex, and Cursor. It reads these private directories locally, so nothing leaves your machine, and lets you browse, search, and resume conversations in seconds. The coolest part is the full-text search that jumps straight to the exact message you need, even deep in a long chat. It’s fast, private, and keeps your AI history organized without touching the original files.

🆔 @hackernewsgithubprojects

📦 avenx-js/avenx-js

Avenx: The JS Framework That Catches Infinite Loops

Avenx is a JavaScript framework that actually catches your code freezing the browser. It uses a compiler and a special reactivity system to track every state change, but here is the wild part: it has a built-in deadlock boundary. If two parts of your app start updating each other in a loop, it does not just crash or hang. It detects the cycle, stops the loop, and shows you exactly which component caused the problem. That is a feature you rarely see in standard tools. It also keeps things fast with zero heavy runtime dependencies.

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📦 forcedotcom/sf-skills

Salesforce Skills Library

Salesforce just released a massive, ready-made library of specialized instructions that teach AI agents how to build real applications for their platform. This project, called the Salesforce Skills Library, solves the problem of vague coding suggestions by providing strict, tested workflows for everything from backend logic to user interface components. Instead of guessing, your AI assistant follows these precise blueprints to write code that actually fits the ecosystem. It works with popular tools like Claude Code and Cursor, meaning you can plug it in right now. The library is actively evolving, so it reflects the current best practices directly from the experts.

🆔 @hackernewsgithubprojects

📦 ahmadrosid/nakama

Nakama: Your Team's AI Agent Platform

Nakama is the AI agent platform built specifically for teams to work alongside human employees. It gives every AI agent its own identity, permissions, and memory, so they can handle tasks across Telegram, WhatsApp, and Discord without breaking the fourth wall. The coolest part is that each agent has a soul, meaning it remembers context and maintains a consistent personality across different channels and sessions. It is not just a chatbot; it is a structured environment where multiple organizations can coexist on a single server with strict security boundaries. This setup turns loose AI scripts into reliable, manageable digital teammates that respect your team structure.

🆔 @hackernewsgithubprojects

📦 flashml-org/freetoken

Run Frontier AI on Your Gaming PC

FreeToken is the local inference engine that lets your gaming PC run massive AI models. It treats your computer’s memory and processor as one flexible system, so you can serve huge models without expensive server racks. The magic is in its smart memory swapping, which automatically moves parts of the AI brain between your fast graphics card and slower system memory to keep things running smoothly. This means you can chat with powerful, private AI assistants directly on your own hardware, bypassing the need for cloud subscriptions or massive electricity bills. It is a huge leap for developers who want full control over their tools.

📰 https://news.ycombinator.com/item?id=49394148

🆔 @hackernewsgithubprojects