📦 deeplethe/lethe

Lethe: The AI Memory That Forgets

Lethe is the AI memory system that finally learns to forget. While most tools just keep piling up facts until they get messy, Lethe treats every piece of information like a leaf floating in water, letting old or wrong details naturally sink and disappear. The coolest part is that it can cryptographically prove a fact is gone, which is huge for privacy. It runs entirely on your computer with no cloud calls. If you are building agents, this is how you keep them clean and accurate without the data bloat.

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📦 kronop/vibe-aso

Vibe ASO: The AI Tool That Localizes Your App for 50 Countries

A single AI assistant can now handle the entire App Store optimization process for your mobile app, handling everything from keyword research to translating your interface into fifty different languages. It solves the massive, repetitive problem of manually managing metadata, screenshots, and pricing for every single market you want to enter. By using a specialized tool, you can verify that your app looks professional and speaks the local language correctly before it ever reaches the App Store. You get a polished, global-ready product without hiring a team of translators or spending weeks on manual updates.

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📦 wangpeterxf/session-harbor

SessionHarbor: Verified Backup for AI Sessions

SessionHarbor takes every conversation you have with your AI coding assistant and creates a verified, tamper-proof copy on an external drive. It solves a real problem: when you delete a chat to free up space, you usually lose that context forever, but here, the backup is cryptographically checked before any local file is allowed to go. This means you can safely reclaim disk space on your Mac or Windows machine, knowing you can restore the exact same data later without guesswork.

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📦 mengto/sublevel-studio

Sublevel Studio: The 3D Portfolio That Is Actually A Game

Sublevel Studio is the web portfolio that drops you into a playable, three-dimensional Kyoto lobby instead of a boring landing page. Forget the standard hero section; this project wraps a creative studio's work in an immersive, interactive room where you can actually touch the environment. It features a working arcade cabinet, a basketball hoop, and old-school C.R.T. monitors that lead you into the case studies. The coolest part? The whole thing is crammed into a single file with no build steps or servers required. You can run it locally in seconds.

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📦 adkid-zephyr/anti-defensive-writing-skill

Anti-Defensive Writing: The Prompt Pack

Anti-Defensive Writing is the academic writing tool that stops your paper from accidentally attacking itself. It solves the problem where AI assistants turn strong research into timid, self-censoring reports full of apologies and weak language. The core idea is simple: treat your paper like a press conference, not a project summary. You only present your strongest advantage and ignore the metrics where you lose. This lightweight skill pack includes copy-paste prompts that teach any AI to enforce this principle. Instead of listing every failed attempt, it restructures your narrative to highlight exactly why your work matters. It ensures every experiment serves a specific argument, not just filling space.

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📦 wnby/photo-relic-editorial

Photo Relic Editorial: Photos Turned into Paper Memories

Photo Relic Editorial is the creative skill that turns real photos into quiet paper memories. It takes a genuine photograph, keeps the top half perfectly truthful, and compresses the bottom into a minimal, ink-style print that looks like the image was pressed into warm paper. It is not a generic filter; it extracts the actual light, structure, and mood of your shot to create a restrained, editorial artwork. The result feels less like digital editing and more like a tangible, hand-pressed relic that captures the emotional weight of the moment. It is a clever way to transform everyday snapshots into a cohesive, artistic series.

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📦 vectorspacelab/arex-skill

AREX-Skill: Teach AI to Code Like a Researcher

Turn working code into ready-to-use instructions for artificial intelligence. This project scans popular software libraries and extracts specific, tested capabilities into standalone packages that coding agents can execute directly. Instead of guessing how to run an experiment, the agent loads the exact steps needed for the task at hand. The result is a massive library of verified skills that help autonomous systems complete complex research goals without getting stuck. It transforms scattered documentation into actionable power. If you build tools with artificial intelligence, this is how you give them real muscle.

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📦 qwenlm/qwen-drive-1.0

Qwen-Drive: The AI That Thinks Before It Drives

Qwen-Drive turns raw camera feeds into safe driving decisions by letting a language model explain its reasoning before moving the car. Built by the Qwen team, this single model handles everything from spotting obstacles to predicting the next five seconds of motion. The real surprise is that it doesn't just guess a path; it generates a logical rationale for why that path is safe, making its thinking visible and checkable. This is a major step toward self-driving cars that can actually be understood by humans. If you are into AI, this is how explainability meets autonomous driving.

📰 https://news.ycombinator.com/item?id=49577104

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📦 pis10/tracesurface

TraceSurface: Find Hidden APIs in Frontend Code

TraceSurface takes a single login page and maps out every hidden backend connection buried in the JavaScript. It launches a real browser to catch live requests, then pairs that with a static code analysis to find endpoints you never clicked. The magic is in the replay: it strips your login credentials and sends the requests back to see who gets through without permission. One scan turned a simple captcha call into over a hundred exposed endpoints. It is a powerful way to audit your frontend for security gaps before attackers find them. If you ship web apps, this tool is a must-have for finding weak links in your API.

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📦 miaai-lab/qwen3.8-flash-next-single-dgx-spark

One Card, Giant Model

Run a massive, multimodal AI model on a single workstation GPU. This project lets you serve a giant vision-language model that handles text, images, and video using only one piece of hardware. The real magic is the memory trick. Instead of forcing the entire model into the graphics card, it parks the huge lookup tables in system memory and fetches them on demand. This simple trick lets a 99-gigabyte model fit inside a device with just 121 gigabytes of unified memory. It turns a modest desktop chip into a capable server for serious AI tasks without buying a rack of data center gear.

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📦 cloudgeni-ai/opengeni

OpenGeni: Run AI Agents on Your Own Hardware

OpenGeni is the self-hostable runtime that finally lets you run AI agents on your own hardware without losing control. It solves the trust gap in enterprise AI by keeping your data, credentials, and audit logs entirely inside your own infrastructure. The standout feature is the connected machine model, where you enroll your laptop or server as a first-class compute target. Instead of sending code to a vendor's cloud, the agent dials out to your machine to work directly with your files and git repos. It’s a durable, replayable session API that treats your hardware as an equal to managed sandboxes.

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📦 hwdsl2/docker-whisper

Docker Whisper: Your Private AI Transcriber

Docker Whisper is the self-hosted server that finally lets you process audio without sending it to the cloud. It runs OpenAI’s powerful speech recognition model directly on your own hardware, turning any voice recording into accurate text. The coolest part is speaker diarization, which automatically identifies exactly who is talking in a group conversation. This means your meeting notes know which person said what, all while keeping your data completely private. It even speaks the same API language as OpenAI, so you can switch your existing apps over with a single line change.

📰 https://news.ycombinator.com/item?id=47732384

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📦 yejy53/editable-design

Editable-Design: AI Design That Never Flattens

Editable-Design is the visual design tool that refuses to flatten your work. Instead of giving you a single, static image where changing one word breaks the whole picture, it builds your design using real, separate text layers and independent images. This means you can select any element and tweak it exactly as you need. It uses AI to handle the tricky parts of layout and style, but the result is fully editable code. So you get professional-level visual polish without being locked into a single, unchangeable screenshot. It is a smarter way to create graphics that actually work for your specific needs.

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📦 gnosil/semantix

Semantix: The Memory Engine for AI Agents

Semantix is the memory kernel that finally stops your AI coding agent from forgetting everything the moment a session ends. It solves a massive, invisible problem: most agents treat every new chat as a blank slate, constantly re-learning your project's specific quirks and build rules from scratch, which burns through your token budget and slows down workflows. The clever part is how it fixes this without you changing your existing tools. It quietly extracts reusable insights from your past conversations and stores them in a local library.

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📦 owainlewis/machinist

Machinist: The AI Code Factory

Machinist turns your local computer into a controlled factory for running AI coding agents. You can queue up complex software tasks and let tools like Codex or Claude Code handle the heavy lifting, all without ever letting a single API key leave your machine. The system records every single step, from the initial prompt to the final code output, so you can watch exactly what the AI did and why. It hands you a clean pull request at the end, keeping the final decision to merge entirely in your hands. This gives developers a safe, transparent way to automate their workflows while keeping full control over their credentials and data.

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📦 youichi-uda/godot-mcp-pro

Godot MCP Pro: AI Directs Your Game Editor

Your AI assistant can now play your game, press buttons, and fix its own code while you watch the editor. Godot MCP Pro connects Claude directly to the Godot editor, giving it live control over scenes, physics, and animations. This isn't just for writing scripts; it lets the AI inspect a running game, simulate player inputs, and run automated tests to find bugs before you do. You can literally ask it to fix a collision issue and verify the fix by watching the game play. It turns your AI from a coder into a QA partner. If you want your AI to actually test your game, this is the tool.

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📦 dicklesworthstone/ultimate_bug_scanner

Ultimate Bug Scanner: The AI Agent's Safety Net

Spot a thousand hidden bugs before your code even runs. The Ultimate Bug Scanner acts as a safety net for AI coding agents, catching over a thousand specific bug patterns across ten different languages in under a second. It scans your code for real problems like memory leaks and security holes, then gives the AI a clear pass or fail signal. This means your coding assistant actually learns from mistakes and stops making them. It is the missing piece of quality control for the AI era. Your code will finally be as safe as it is fast.

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📦 agent-next/polymarket-paper-trader

Polymarket Paper Trader: AI Betting Simulator

Turn your AI agent into a risk-free trader for Polymarket. This tool gives your bot ten thousand dollars in fake cash to bet on real-world events using live order books. It isn't a toy that uses random numbers; it simulates actual exchange mechanics, including fees and slippage. Your agent places real bids against real liquidity, so the profit and loss is accurate. It even includes a backtesting engine to test strategies against historical data. The best part is the leaderboard, where you can pit different AI strategies against each other to see who wins. No real money is lost, but the trading logic is genuine.

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📦 oliver-zehentleitner/keep-the-why

Keep the Why: The AI Skill That Remembers Why Code Exists

Your AI coding assistant keeps forgetting why you rejected a specific solution, so it suggests the exact same broken idea again and again. Keep the Why fixes this by quietly saving the reasoning behind your decisions right inside your project files. It turns those scattered thoughts into simple text notes that travel with your code, meaning your assistant finally understands your past choices. You stop repeating old mistakes, new team members onboard faster without asking old colleagues, and legacy projects stop feeling like black boxes. It is not a separate documentation site to maintain, but a lightweight layer that grows naturally as you work.

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📦 hex/claude-council

Claude Council

Stop guessing when your code breaks. Claude Council asks five different AI models the exact same question and puts their answers right next to each other. You see where they agree and where they clash, instantly exposing the blind spots that usually trip up single-model advice. It turns a solo coding session into a group review, helping you spot flaws before they become bugs. No more wondering if your logic is sound. Just ask the council and trust the consensus. Your next architecture decision has never been safer.

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