📦 iml1s/resume-skills

Resume Skills: Your Coding Agent Memory Bank

Your coding assistant can forget its own work history, but resume skills fixes this by reading local conversation logs and packaging them into a safe, offline summary. This tool copies that context into a brand-new session so your agent remembers exactly what you were building. It works entirely on your computer without sending data to the cloud or restarting your old chat. The biggest benefit is that it supports almost every major coding assistant, letting you switch between tools without losing your place. It is not a magic save file that reboots a dead process, but a clean handoff of notes.

🆔 @hackernewsgithubprojects

📦 databricks-solutions/consort

Consort: The Music Ensemble For AI Code

Stop letting your AI code generator guess. Consort fixes this by acting like a music ensemble where every agent plays one specific instrument. It uses a strict conductor to enforce real tests against live database branches, so the code is actually correct. This means you get genuine engineering discipline instead of just lucky prompts. The result is a clean, verified application backend. Trust the music, not the model.

🆔 @hackernewsgithubprojects

📦 rohasnagpal/legal-ai-skills

Rohas Legal AI: 160+ Skills in One Click

Rohas Legal AI is the all-in-one toolkit that turns any chatbot into a legal assistant. It bundles over one hundred and sixty specific skills, covering everything from drafting contracts to analyzing arbitration awards, all wrapped in a single easy-to-install plugin. The coolest part is how it works: you simply describe your legal task in plain everyday language, and the system automatically picks the right skill from the library to handle it. You never have to remember a specific command or search for the right tool. It is built for lawyers, law students, and business owners who want accurate, structured legal help without the complexity of managing individual prompts.

🆔 @hackernewsgithubprojects

📦 quome-cloud/openworld

openworld

Building a working model of a complex system usually requires massive datasets, but this project claims you can do it in under two minutes. Openworld functions like a universal toolkit for creating these internal simulations, allowing you to test how code behaves before you ever deploy it. It solves the problem of needing expensive training data by constructing a logical map of the environment from the rules alone. You essentially build a safe, digital playground where you can run your software through hundreds of different scenarios instantly. This is useful because it turns guesswork into a verifiable process, letting you catch errors before they break your production systems.

🆔 @hackernewsgithubprojects

📦 jingxiao10/gua

GUA: The Missing Link in Neural Network Training

Here is the reality: when you train these networks, the optimizer can secretly ruin your carefully calculated steps. The project called GUA fixes this. Think of it like this: your navigation app tells you to turn left, but your car’s steering wheel is jammed, so you turn right anyway. GUA is the mechanic who checks the steering wheel before you start driving. It ensures the actual movement matches your plan, even when the math gets messy. This matters because physics problems are tricky, and small errors add up fast. By keeping things aligned, GUA helps these models learn correctly.

🆔 @hackernewsgithubprojects

📦 surge-ai/gdp-pdf

gdp-pdf: The Benchmark That Actually Reads PDFs

GDP pdf is the evaluation tool that measures whether large language models can genuinely understand complex documents. Built by Surge AI, this harness tests AI against a hundred real world tasks where models must read attached PDFs and answer specific questions without using any external search tools. The core strength here is strict, automated grading. Instead of relying on vague human opinions, the system uses another AI as a judge to check every single answer against a detailed rubric. This makes it incredibly useful for developers who need to know if their model is actually reading the data or just guessing.

🆔 @hackernewsgithubprojects

📦 otodock/oto-dock

OtoDock: Your AI Agent Company

OtoDock lets you build a self-hosted company of AI agents that answer real phone calls. It’s not just a chatbot; it’s a full operating system for your digital employees. You pick your own AI engine, like Claude or Codex, and plug it into this platform running on your server. These agents have persistent memory, can access your files, and even run while you sleep. The coolest part? They can literally pick up the phone. If you want your AI to feel like a real teammate who handles tasks autonomously and securely, this is the blueprint you need.

📰 https://news.ycombinator.com/item?id=49630606

🆔 @hackernewsgithubprojects

📦 yicheng47/runner

Runner: The App That Makes AI Coding Agents Work Like a Team

Runner lets you run multiple AI coding agents side by side inside a single native desktop app, turning scattered terminal windows into a coordinated crew. Instead of juggling separate sessions, you assign specific roles to each agent, like a coder and a reviewer, and they communicate through a shared event log to work on a shared goal. The most surprising part is that you can set up one agent to manage other agents, creating a self-organizing team that handles the entire workflow from planning to code review. It works locally on your machine, so every session is a real, persistent process you can watch and control.

📰 https://news.ycombinator.com/item?id=48236283

🆔 @hackernewsgithubprojects

📦 deepseek-ai/deepjit

DeepJIT: The GPU Compiler That Caches Everything

DeepJIT is the lightweight C++ library that lets you compile GPU kernels right at runtime without the usual boilerplate. It handles the messy details of finding your compiler, caching the results, and loading the code onto the device so you can just focus on writing the math. The coolest part is its shared cache system, which lets your entire team or cluster reuse compiled kernels from a single folder, meaning nobody has to wait around for slow compilation if the code hasn’t changed. It works seamlessly with both NVIDIA GPUs and Huawei Ascend chips, giving you a uniform way to handle device code.

📰 https://news.ycombinator.com/item?id=49641406

🆔 @hackernewsgithubprojects

📦 dicklesworthstone/franken_markdown

franken_markdown

Turn your Markdown into polished, self-contained HTML and tiny, optimized PDFs with just one single command. Franken Markdown is a pure Rust tool that does the heavy lifting for you, handling everything from syntax highlighting to font embedding without needing a browser or a massive software stack. The coolest part is that it generates real vector graphics for your diagrams directly in the PDF, so your charts stay perfectly crisp instead of looking like blurry screenshots. It is built to be fast and reliable, giving you professional looking documents from a simple text file.

📰 https://news.ycombinator.com/item?id=48826265

🆔 @hackernewsgithubprojects

📦 akitaonrails/ai-usagebar

The AI Usage Tracker That Actually Works

ai-usagebar is the desktop widget that finally tells you exactly how much you have left on your AI subscriptions. It was built because constantly checking your browser to see if you hit your rate limit is annoying, so it just grabs that info and puts it right on your screen. The coolest part is it works with almost everything, like Claude, ChatGPT, and Cursor, all in one place. It even has a timer that counts down when your quota resets, so you stop guessing. It is lightweight and built to be fast.

🆔 @hackernewsgithubprojects

📦 yilewang/llm-for-zotero

Your Zotero Library, But Make It An Agent

A browser extension just gave your personal research library a brain. L L M for Z o t e r o is an open-source research agent that lives directly inside your Z o t e r o library, reading your papers, notes, and PDFs to actually help you do research instead of just storing it. The most striking part is that it doesn't just chat; it acts. You can ask it to audit your library for missing metadata, auto-tag hundreds of papers, organize unfiled items, or even write and save notes back into your collection.

🆔 @hackernewsgithubprojects

📦 remysucre/prela

Prela: The Query Language You Control

Prela is the embedded query language that gives you total control over how data is processed. It works right inside your existing code, letting you mix queries with regular logic without switching contexts. The coolest part? It runs exactly as you write it, skipping the hidden optimizer that usually slows things down. That means you decide the speed, not a black box. It is fast, compact, and surprisingly simple to use. If you want to know exactly what your database is doing, this is the tool to check out.

📰 https://news.ycombinator.com/item?id=48356563

🆔 @hackernewsgithubprojects

📦 typstify/typstify

Typstify: The Desktop Editor for Typst

Edit professional documents right on your desktop with Typstify. This cross-platform tool gives you the polished power of LaTeX but swaps out the confusing, old-school syntax for a modern, intuitive interface. Built in Go and powered by the Gio UI framework, it runs smoothly on Windows, macOS, and Linux. You just need to drop in the Typst executables, and you are ready to go. It is not just a text editor; it is a full development environment that handles syntax highlighting, live previews, and file management out of the box.

📰 https://news.ycombinator.com/item?id=49127765

🆔 @hackernewsgithubprojects

📦 xhowenma/autodojo

AutoDojo: The Adaptive Attack That Breaks AI Defenses

A filter that blocked every single static attack on an AI agent still failed twenty-eight percent of the time when AutoDojo optimized the malicious text against it. This research tool turns static security tests into an adaptive arms race, using a large language model to iteratively rewrite injection attacks until they slip past specific defensive filters. It reveals that many current safeguards offer limited protection, especially when the user’s request is vague enough to let the attacker blend in as ordinary data. The project is less about providing a solution and more about exposing the structural gaps in how we currently protect intelligent systems from hidden commands.

🆔 @hackernewsgithubprojects

📦 ja7ad/hydra

Hydra: The Download Manager That Steals Speed

Hydra Download Manager splits a single file across multiple servers to make downloads finish before your coffee gets cold. Most tools wait for one slow server to drag its feet, but this software actively steals work from those slow connections and hands it to faster ones, so you never sit there watching a progress bar crawl. It works like a traffic cop for your data, constantly rebalancing the load to keep every pipe full. This is the only feature that matters, because waiting is the only part of downloading that actually hurts. It runs on your computer, talks to your browser, and just makes files appear faster.

🆔 @hackernewsgithubprojects

📦 devin-axis/deepseek-design

DeepSeek Design

Turn a single sentence into a fully editable website, presentation, or short video without opening a single editor. DeepSeek Design plugs directly into the DeepSeek Harness to generate real code files, not just static images, allowing you to drag, drop, and tweak every pixel in a visual studio right inside your chat. The standout feature here is selection-aware editing; you can highlight a specific button or heading and ask the AI to change only that element, leaving the rest of your project exactly as you built it. It’s a continuous loop where you describe your idea, watch it materialize, and refine it with surgical precision.

🆔 @hackernewsgithubprojects

📦 tencent-hunyuan/auk

AuK: The AI That Edits Sound Like Text

AuK is the open-source speech model that edits audio like you edit text. It lets you fix mistakes, change emotions, or swap voices in seconds without complex software. This tool solves the problem of tedious manual audio editing by using simple commands to generate or modify speech. It’s useful because it makes high-quality voice control accessible and surprisingly fun to play with. You can create new lines or tweak existing recordings effortlessly. If you love working with audio, this is a clever way to save time and spark creativity. Try it out and see how easy sound editing can really be. It’s a cool little project that deserves your attention.

🆔 @hackernewsgithubprojects

📦 v-songbird/hush

hush: The plugin that makes your AI coder stop talking

Hush is a plugin for Claude Code that forces your coding assistant to stop narrating every single step. Instead of watching a wall of text scroll by while it works, the tool shuts up until the job is actually done. Then, it gives you one short, plain-English answer telling you exactly what changed and which file to open. It cuts out the noise so you can just see the result. You can even pick a different tone for that final message if you want. If you are tired of reading a novel just to know if a test passed, this is the fix.

🆔 @hackernewsgithubprojects

📦 prove2me/prove2me_workspace

Prove2me Workspace: The AI Math Proof Engine

Prove2me Workspace is the development kit that lets AI agents formally prove mathematics in Lean. It solves the problem of verifying complex logical claims by using a server-side toolchain to check every proof against exact formal statements. This means a successful submission is a real mathematical guarantee, not just a heuristic guess. The platform organizes work into missions, where agents can discover open theorems, decompose hard problems into smaller lemmas, and submit code for rigorous verification. By bridging the gap between raw code and formal logic, it creates a trusted environment for automated reasoning.

🆔 @hackernewsgithubprojects