📦 jarrodwatts/jev-trader

Jev Trader: AI Trading at 300 Milliseconds

Place a real trade on the blockchain every three hundred milliseconds. Jev Trader uses an AI model called Jev to watch the order book for the Monad and USDC pair. Every single block, the AI makes a split-second decision to buy or sell. It then sends a live order from a real wallet, landing in the same block it made the choice. The whole process, from reading the market to posting the trade, fits into a tight 300-millisecond window. A dashboard streams every decision, order, and fill live, so you can watch the AI trade in real time.

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📦 fhshaik/typesafe-mario

How an AI Plays Mario

TypeSafe Mario lets a language model play Super Mario Bros without looking at the screen. Instead of processing visual pixels, the system reads the game’s internal memory and converts it into a compact text description of the world. It tells the model exactly where Mario is standing, how fast he is moving, and which enemies are approaching. The model then chooses one simple physical action, like jumping or running right. This approach is interesting because it shows how far we can push AI reasoning by giving it clean, structured data rather than raw images. It strips away visual noise to focus purely on logic and timing.

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📦 usenotra/notra

Notra: Turn Your Work Into Content

Notra scans major artificial intelligence engines to see exactly where your brand appears in answers and who gets recommended instead. It tracks specific buyer questions across platforms like ChatGPT and Gemini to measure your visibility and share of voice. The platform identifies gaps where you are missing and helps you turn those opportunities into published content drafts. It also attributes traffic to distinguish genuine human referrals from simple crawler visits. This tool solves the problem of being invisible in AI-driven search by providing clear data on your standing. It allows teams to fix their digital presence with actionable insights.

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📦 realzachi/pg-jev

pg-jev: Ask your Postgres tables questions in plain language

You can now filter your Postgres database using plain English instead of complex SQL logic. The project called pg-jev lets you ask questions like the name is European right in your where clause. It solves the problem of writing brittle rules for messy human data by using an AI model that returns a simple yes or no with a confidence score. No vector databases or embeddings are needed here. It is clever because it treats the AI judgment as a standard SQL function that works perfectly with your existing joins and limits. If you hate writing fuzzy search logic, this is the tool you need to know about.

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📦 kitze/skillbox

skillbox: The Library for Your AI Agents

Skillbox turns your local AI agent skills into a proper versioned library that lives entirely on your own server. The surprising part? It acts like a strict gatekeeper for your agents, letting you track every change, roll back mistakes, and hand out specific keys so different bots only see the exact instructions you allow. It plugs into standard tools through a dedicated bridge, meaning your agents can search, load, and verify their capabilities without ever touching the internet or a third-party cloud. You own the data, you control the access, and the whole thing runs right on your machine.

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📦 thruwire/foreman

Foreman: The AI Supervisor for Coding Agents

Foreman is the supervisory layer that watches AI coding agents while they work. Instead of just letting a slow language model code, Foreman adds a fast, independent brain that constantly asks nine specific questions about progress, stuck states, and quality. It runs in parallel with the coder, so the agent never has to stop to be checked. If the AI gets stuck or drifts off track, Foreman can gently steer it back or step in. It is a clever architectural experiment that separates the heavy thinking of coding from the light thinking of supervision. The result is a smarter, safer way to manage autonomous software projects without constant human babysitting.

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📦 devagrawal09/jev-review

Jev Review: The Code Review That Actually Thinks

Jev Review is the code-review tool that stops guessing and starts proving. It scans your entire codebase, scores every file for specific risks, and only digs deeper when the numbers look suspicious. The coolest part is the dashboard: it shows you exactly which files tripped the alarm and why, turning a chaotic sea of code into a clear, prioritized list of actual problems. It is not a generic linter; it is a structured investigation into what might break. If you want to know where your code is actually weak before it goes live, this is the shortcut you have been missing.

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📦 mcncarl/jianying-headless

Jianying Headless: Automating Video Editing

Your computer can now edit professional videos without ever opening the editing app, and that is exactly what this project does. Called Jianying Headless, it lets you write a simple plan describing your cuts, text, and audio, then automatically builds a fully editable project file that the desktop editor opens natively. It works by quietly talking to the installed app in the background to assemble the timeline and export the final video. No mouse clicks, no manual dragging, just code. It is a fascinating look at how far automation can take creative tools, turning a complex graphical interface into something you can script and repeat.

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📦 droidrun/mobile-jev

Mobile Jev: The Phone Agent That Actually Works

Mobile Jev is the mobile agent that makes real decisions on a live phone without needing a direct cable connection. It solves the headache of writing brittle scripts for every app change by letting an AI model look at the screen and choose the right action on its own. The coolest part is that it does not just claim success; it actually checks the phone to confirm the job is done. You can watch it open apps and tap buttons in a live web studio, giving you a true view of what the agent is doing. It is a slick way to see how far autonomous phone control has come.

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📦 danjdewhurst/story-skills

Story Skills: The Continuity Engine

Story Skills catches dead characters walking, unfired Chekhov guns, and payoffs that land before their setup before a reader ever could. It’s a set of agent skills that gives AI writing tools a shared, plain-markdown format for your entire story bible, including character files, worldbuilding notes, and plot arcs. But the real magic is the companion command line tool that treats your story like code. It runs a deterministic continuity engine that checks for contradictions exactly like a compiler treats type errors. If your files are well-formed but the plot doesn’t hold together, it flags the exact file and line.

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📦 gentleman-programming/gentle-shell

Gentle Shell: The Architect's Terminal

gentle shell turns your terminal into a controlled workspace where you direct your coding agent instead of just typing commands. It solves the problem of messy, unstructured AI coding by giving you a single place to see active tasks, track changes, and review evidence. The most interesting part is how it acts like a senior architect; it doesn't just write code, it plans, verifies, and shows you exactly what it did so you can trust the result. If you want your AI helper to feel like a reliable colleague rather than a random text generator, this is the tool that makes that possible.

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📦 local-inference-lab/b12x

Run DeepSeek on Your RTX 5090 with B12X

Run DeepSeek V4.1 on your RTX 5090 or DGX Spark. B12X is a kernel library that turns consumer Blackwell cards into a local inference machine. It handles the low-level math for attention and experts, letting you serve large models right on your desktop. No datacenter needed. If you want to run serious AI on your own hardware, this is your shortcut. Grab B12X and start experimenting with local models today.

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📦 superagents-lab/jev-search

Jev Search: The Search Engine That Thinks First

Jev Search doesn't just find pages; it actually figures out what you're trying to ask before it even starts looking. It uses an AI helper to pick the right websites and time frames, then sends your question to engines like Google and DuckDuckGo at the same time. The coolest part is that it ranks the results by relevance and shows you exactly why it picked them. It’s like having a smart librarian who knows where to look and sorts the books by how useful they are. No more digging through ten tabs to find one answer. This is a cleaner, smarter way to search the web.

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📦 autonomous-ai/openharness

OpenHarness: The Desk Device for Coding Agents

Transform any coding assistant into a specialized engineer that designs circuit boards, models three dimensional parts, and builds playable games right on your screen. The platform runs these agents in persistent terminals across all your computers, ensuring your projects continue working even after you close the application window. The standout feature is the open hardware desk device that plugs into your setup, giving you a tangible way to manage and interact with these digital workers. It connects everything through secure, encrypted channels without needing complex network configurations. This creates a focused environment where you can chat with an agent while watching your digital creations take shape in real time.

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📦 sstraus/tuicommander

TuiCommander: The IDE for AI Agents

TuiCommander is the integrated development environment that finally lets you run multiple A.I. coding agents on separate branches without losing your place. It spins up isolated workspaces so each agent works in its own lane, meaning you can watch them code, test, and commit in real-time without them stepping on each other's changes. Instead of juggling a dozen terminal windows or losing track of what is happening, you get a single dashboard showing exactly what each agent is doing, along with live diffs and pull request statuses. It turns the chaos of parallel A.I. coding into a clear, manageable workflow where you stay in control.

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📦 nandhakishorm/laya

Laya: The Fastest Way to Make AI Decisions

Laya lets you ask an AI to judge a situation and get a firm, reliable answer in milliseconds. It skips the slow part where language models invent words and instead looks at the facts to pick a clear label or score. Think of it like a super-fast triage nurse for your data. It instantly tells you if an email is billing, if a comment is toxic, or if someone is about to quit your service. The coolest part is that its confidence scores are actually mathematically accurate. That means if it says it is ninety percent sure, you can trust that number completely.

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📦 jaredpalmer/kev

Kev: AI Decision-Making on Your MacBook

Make any small laptop run a sophisticated AI decision engine that spits out calibrated probabilities instead of vague text. Kev is a compact model that reads a document once and answers multiple typed questions in parallel during a single fast pass. Instead of generating sentences, it scores your specific options against the text, giving you a precise number for how confident it is in the answer. It runs entirely locally on an Apple chip, meaning your data never leaves your machine. You get a private, highly accurate tool that classifies complex inputs without the lag or privacy risks of cloud servers.

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📦 kitze/unclutter

Unclutter: The AI Browser Extension That Cleans Web Clutter

Unclutter is a browser extension that uses an AI model to identify and hide ads, cookie banners, and pop-ups on any website. The surprising part? It does not delete anything; it just reversibly hides clutter so your main content remains visible. Once a page is analyzed, the rules are saved as reusable templates. This means similar pages, like different news articles on the same site, automatically load the same clean view without needing to re-analyze them every time. It is a simple, local tool that brings back the days of clean reading by stripping away the noise while keeping your data private.

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📦 decisionbox-io/decisionbox-platform

DecisionBox: The AI That Finds Data Insights Alone

DecisionBox is the autonomous data discovery tool that finds insights without you asking a single question. It connects to your data warehouse and lets an AI agent decide what to investigate on its own. The agent writes and runs dozens of SQL queries to explore your data, then verifies every finding with independent checks to ensure accuracy. You get validated insights and ranked recommendations in your dashboard, all while keeping your data and infrastructure under your control. If you want to know what your data is trying to tell you without writing code, this is the tool to try.

📰 https://news.ycombinator.com/item?id=47875097

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📦 bespokelabsai/nimble

Nimble: Fast AI Decisions Without Reasoning

Nimble is the local AI model that answers complex questions instantly without writing out any reasoning. Instead of generating a long paragraph to explain its thought process, it reads your text once and simply picks the correct answer from a list you provide, making it blazing fast for tasks like routing requests or checking conditions. The real trick lies in how the team trained it using contrastive data curation, where they create nearly identical examples that differ by just one fact to teach the model exactly which details matter.

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