📦 anotiawang/awesome-jev

Awesome Jev: The Ultimate Resource Guide

Awesome Jev is the central hub that finally maps the entire ecosystem of TypeSafe System One. It solves the problem of scattered information by curating a massive, organized list of every application, library, and tool built for this specific AI framework. The real surprise is seeing just how wildly creative people have become with it, from browser agents that book flights in seconds to bots that play classic video games like Doom and Tetris. This collection proves that this technology is far more than a simple text generator, offering a clear window into how developers are building smart, decision-focused agents today.

🆔 @hackernewsgithubprojects

📦 juneyaooo/social-account-doctor

Social Account Doctor: The Ultimate Content Audit

Social Account Doctor is the diagnostic tool that finally explains why your content gets ignored. It takes a deep look at viral hits in your specific niche to figure out exactly which hooks and editing styles are working, then translates those mechanics into a simple, copy-paste draft for your next video. It’s basically a cheat code for creators who are posting consistently but seeing zero growth. Instead of guessing what’s wrong, you get a clear roadmap for what to film next. Stop posting into the void. Get your account a real health check, find the winning formula, and start actually getting seen.

🆔 @hackernewsgithubprojects

📦 omarroth/doubletake

Doubletake: AirPlay for Linux

Doubletake turns any Linux desktop into a screen that Apple TV can mirror, filling a gap where macOS and Windows users get this for free but Linux users were left behind. It handles the complicated handshake, encryption, and video encoding in the background, so you can just cast your screen to a TV or Mac without installing heavy, unstable workarounds. The coolest part is that it works with both X11 and Wayland, meaning it adapts to your specific setup automatically. If you want to watch your code or movies on the big screen without juggling cables or buying extra hardware, this is the tool that makes it happen.

📰 https://news.ycombinator.com/item?id=49209939

🆔 @hackernewsgithubprojects

📦 maanhimself/opendlss-nr

OpenDLSS NR: The AI Image Generator That Runs Locally

NVIDIA just showed that AI can invent new details in your game, and someone built the exact math to run it on your own computer. This project is a Vulkan reimplementation of the DLSS 5 Neural Rendering network, meaning it takes a blurry frame and generates sharp new pixels from scratch. The crazy part is that it matches the original output perfectly, down to the single byte. It is not just a filter that makes things look nicer. It is a heavy math puzzle solved on your graphics card to make a 4K image from a 1080p input.

🆔 @hackernewsgithubprojects

📦 meodai/skill.color-expert

Your AI's Secret Color Expert

Turn your coding agent into a color science expert with the color expert skill. It solves the problem of AI giving generic or wrong color advice by feeding it a massive, curated library of real research. Instead of guessing, it accesses nearly three hundred thousand words covering everything from historical paint mixing to modern screen accessibility standards. The coolest part? It actively corrects common myths, teaching your agent why standard color models often fail and how to pick palettes that actually look good. It’s not just a note file; it’s a brain upgrade for any AI you use.

🆔 @hackernewsgithubprojects

📦 frontier-harness-eval/eval

The 17x Cost Gap in Coding Agents

The same AI model can solve a coding task for one dollar or nearly twenty, depending entirely on the software wrapper used to run it. This benchmark, called Eval, tested a single AI model across nine different coding tools on thirty identical software problems. While the pass rates stayed surprisingly close, the cost difference was massive. The cheapest tool spent just over a dollar per solved task, while the most expensive spent nearly eighteen dollars for the same result. The repository publishes these public results and provides a workflow for anyone to test their own tool against these exact tasks.

🆔 @hackernewsgithubprojects

📦 qdrant/skills

Qdrant Skills for AI Agents

Qdrant released a toolkit that teaches AI coding agents how to act like senior database engineers. Instead of just reading code, these agents now possess specialized knowledge on complex topics like scaling, performance tuning, and migrating data between models. The most surprising part is that the system doesn't rely on static tutorials. It uses a live advisor that fetches the most current guidance directly from the official documentation every time you ask a question. This means your coding assistant always gives advice based on the latest best practices, rather than outdated training data.

🆔 @hackernewsgithubprojects

📦 zefan-cai/open-jev

Open-Jev: AI Decisions Without the Guesswork

This project skips the usual AI guessing game. Instead of watching a model invent an answer and then parsing that text, Open-Jev gives you actual numbers. You feed the model your context and your specific questions, and it spits out typed probabilities directly. It is a clean way to make decisions without the messy business of reading generated sentences. This repository is an open implementation of that idea, built on Qwen models. It handles everything from routing customer service tickets to playing simple games. The best part is you get the raw confidence scores right away. No more hoping the AI wrote the right words.

🆔 @hackernewsgithubprojects

📦 fstandhartinger/chat-seek-vscode

Chat Seek: Find Any AI Chat in Seconds

Chat Seek is the VS Code extension that finally lets you find any past AI conversation using plain English. You know that one time you asked Codex to fix a tricky bug, or when Claude helped you draft a complex email? Finding it again is usually a nightmare. Chat Seek solves this by indexing your local chat histories from Claude Code, Codex, and OpenCode right inside your editor. The coolest part? It uses a local AI model to rerank your results so the most relevant chat jumps to the top immediately. You can even resume the session with one click, dropping you right back into that conversation.

🆔 @hackernewsgithubprojects

📦 pyd021226/fly-paradise

Fly Paradise

Fly Paradise puts a tiny fruit fly colony directly on your Windows desktop, letting them land on your icons and scatter when you move your mouse. The project offers two modes, one where you raise a limited group of flies to a specific goal, and another where they multiply without limit, designed specifically to start up automatically on your friend’s computer. It uses a transparent layer to track your screen and make the flies interact with your real desktop environment. This digital pet turns your screen into a living habitat where you can swat, wash, or care for the insects.

📰 https://news.ycombinator.com/item?id=49762770

🆔 @hackernewsgithubprojects

📦 pymc-labs/daimon

Daimon: Your Chat-Based Data Scientist

Drop a CSV into Slack, ask Daimon if your new pricing strategy actually helped, and watch it write the code, run the analysis, and post a clear chart right back into the thread. It is an open-source data science agent that lives inside your team's chat apps, handling everything from messy data cleaning to forecasting future trends. The coolest part is that it does not just give you a number; it provides a fully runnable notebook so you can verify every step yourself. No more copying and pasting between spreadsheet tabs and coding editors.

🆔 @hackernewsgithubprojects

📦 tarun-032/mellow

Mellow: The Pixel Dog That Actually Helps

Mellow is a pixel-art dog that lives on your Windows desktop and acts as a hands-free assistant. You can hold a key combination and talk to him out loud, and he will answer, read your screen, and even point to buttons with a little bone pointer. He also handles reminders, focus timers, and meeting notes, all without needing an internet connection if you choose local models. Whether you want a helpful tool or just a cute pet to keep you company, you decide how much intelligence he gets. It is a charming, open-source way to make your computer feel a bit more alive and responsive to your voice.

🆔 @hackernewsgithubprojects

📦 volotat/mini-agi

Mini AGI: The Laptop Brain That Never Forgets

A tiny neural network is training itself from absolute zero on a single eight gigabyte laptop graphics card. This project called Mini AGI solves a massive problem: standard AI models freeze forever after training, meaning you can never teach them new things without erasing old memories. Instead, this model works like a living brain. It stores its knowledge as ordinary files on your hard drive, loading only what it needs into memory. This means it can grow bigger by simply writing more files to disk, and it learns continuously from every new document you feed it.

📰 https://news.ycombinator.com/item?id=49783133

🆔 @hackernewsgithubprojects

📦 monteduro/killmyidea

Kill My Idea: The Brutal Truth Test

Type your startup idea and hit submit to get a brutally honest verdict from a digital judge named Jev. This tool cuts through the fluff by asking ten rapid-fire questions about your market, your money, and your actual execution plan. It skips the cheerleading and instead calculates a hard score to tell you if you should kill the idea, fix it, or finally ship it. It’s the reality check every founder secretly needs but rarely gets. If your idea survives the gauntlet, you’ve got something worth building. If not, you just saved yourself a year of wasted effort. Stop guessing and start building with confidence.

🆔 @hackernewsgithubprojects

📦 irfndi/prism-liquidity-agent

Prism Liquidity Agent

A bot on Solana now watches your trading pool every ten minutes to stop you from losing money while you sleep. Most people who put crypto into automated trading forget that the market moves, so their positions quietly lose value without them noticing. This project, called Prism, fixes that by constantly checking if your money is in the right spot. If the market drifts, it automatically shifts your position to keep earning fees instead of bleeding out. It even remembers past mistakes so it learns not to repeat them. It is basically a night watchman for your digital assets. No more waking up to check your phone.

🆔 @hackernewsgithubprojects

📦 0xnatoshi/jev-codex-router

Jev Codex Router

The Jev Codex Router is the routing tool that dynamically picks the right AI model for every single step of your coding session. Instead of forcing you to manually swap between expensive and cheap AI engines, this system automatically decides which model and thinking depth handles each specific task. It runs locally on your computer, quietly analyzing your code requests to ensure you get enough power to finish the job without wasting your monthly quota. It even includes a safety feature that keeps your code running if the main AI service ever has a hiccup.

🆔 @hackernewsgithubprojects

📦 jkudish/jev-mcp

Jev MCP: The Bouncer for Your AI Agent

Give your AI agent a built-in bouncer that actually reads the room. Jev MCP plugs into your coding assistant to run ten quick, cheap judgment calls. It screens fetched pages for sneaky prompt injections before they touch your context, verifies that every claim in a report matches the source, and even scores a code change to see if it is actually safe to merge. Instead of letting a massive, slow model guess, it uses a specialized model to return a typed verdict in under half a second for less than a cent. It is the difference between trusting a random intern and having a rigorous editor checking the work.

🆔 @hackernewsgithubprojects

📦 ghalebdweikat/winnow

Winnow: The Context Sieve for Claude Code

Winnow stops your coding assistant from wasting time reading irrelevant information. It acts as a smart filter that checks every large result from your code tools before the model sees it. A fast, specialized judge decides which parts of the file or command output actually matter for your current task. Anything deemed unnecessary gets swapped for a tiny summary, saving hundreds of tokens and keeping the AI focused. The full text is safely stored locally, so you can bring it back instantly if you change your mind.

🆔 @hackernewsgithubprojects

📦 ellipsis-dev/blink

Blink: Find Code by Asking Questions

Ask a plain English question to locate specific code files within a massive project. Blink uses an AI model to read directory names and assign likelihood scores to every path. It then releases hundreds of digital walkers that roam the file tree, with the most likely routes getting the biggest crowds. When a walker hits a file, it stops, and the final table shows which files captured the most traffic. This turns a chaotic search through nested folders into a simple probability report. It is a clever way to navigate complex codebases without manually guessing where to look.

🆔 @hackernewsgithubprojects

📦 skhanzad/selective-amnesia

Selective Amnesia: The Memory System That Forgets On Purpose

Selective Amnesia is the memory framework that teaches AI agents to forget on purpose. It builds a knowledge graph to track what a chatbot learns about you, but adds a smart pruning module that deletes less important details over time. This mimics how human brains work, keeping recent or critical facts while letting minor trivia fade away. By testing this against standard benchmarks, researchers show that this controlled loss of data actually helps the AI answer questions more accurately. It proves that for long-term digital memories, knowing when to drop information is just as vital as knowing what to keep.

🆔 @hackernewsgithubprojects