📦 pouyahasanamreji/continuum

Continuum: Give Your AI Agents Long Term Memory

Your coding agents are amnesiacs, but continuum fixes that by giving them a shared, persistent memory that actually survives across chat sessions. Running locally on your machine, this clever tool acts as an MCP server with a built-in vector database. When one agent finishes a task, it registers the lesson it learned—like a specific library quirk or a guard ordering issue. When you spin up a brand-new agent later, it instantly searches that memory to avoid making the same mistakes. No more copy-pasting instructions; just let your agents learn from each other in real time.

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📦 smilelikeye/agent-chief

Agent Chief

Filter out the noise from your digital life by routing all your agents, alerts, and feeds through a local-first chief of staff. agent-chief acts as an intelligent attention shield that stops constant interruptions and only pings you when an event genuinely matters. It uses a clever three-stage engine that weeds out useless alerts with cheap rules before ever calling an LLM, saving you time and API costs. It even adapts to your schedule, staying quiet during deep work and compiling digests instead. You train it with simple feedback, and it distills your preferences into an easily editable text file. Put a smart assistant between you and the noise, and take...

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📦 frizzlem/sideinstaller

sideinstaller

You can now set up an advanced iOS sideloader directly on your iPhone without ever plugging into a computer. This on-device tool called sideinstaller completely removes the desktop requirement for installing alternative app stores. The app automates the entire process on your phone, handling the complex pairing, provisioning, and installation steps locally. By matching your device with a custom configuration profile and signing certificates, it gives you a ready-to-use playground for running your own apps. It is a completely free, open-source utility that processes your account credentials entirely on-device to ensure your data stays private. If you want a simpler way to manage your mobile software, this project is definitely...

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📦 atom00blue/machine-learning-library

machine-learning-library

machine-learning-library is the offline-first reference collection that finally organizes the world's best artificial intelligence education into clean, distraction-free markdown. Instead of drowning in open browser tabs, confusing video links, or scattered research papers, this project hand-curates hundreds of premier lectures, academic papers, and deep-dive articles into a single, beautifully organized folder. The absolute best part is that every single resource has been normalized into plain text files, meaning you can open the entire library in your favorite personal notes app or easily feed it to your own custom software assistant. It is the ultimate personal textbook for mastering modern technology on your own terms.

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📦 y0oshi/project-eyes-on

Project Eyes On

Locate publicly exposed security cameras all over the world with a fast command-line helper. This clever Python tool scans online directories and runs smart search queries to find unsecured feeds that anyone can view. It combines multiple search engines to discover unprotected cameras that standard listings miss, and it even pulls location details so you can see where they are located. It is a fascinating eye-opener that shows just how many devices are left wide open simply because people forgot to set a password. Grab it, run a quick check, and remember to secure your own gear.

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📦 woyin2024/lengyi-markdown-editor

lengyi-markdown-editor

lengyi-markdown-editor is the writing tool that packs a full-featured markdown environment into a single HTML file. Designed for the AI era, this editor requires zero installation, subscription, or account registration, operating entirely in your browser. Its best trick is saving your content locally every half second, ensuring your writing is never lost even if you accidentally close the tab. It supports dark mode, equations, diagrams, and exports directly to document or image formats. It is a simple, lightweight way to edit markdown files offline with complete control. Give it a try for your next quick writing session.

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📦 jenna-russell/storyscope

StoryScope

StoryScope is the research project that finally maps the hidden stylistic fingerprints of AI fiction. By analyzing tens of thousands of stories written by both humans and major language models across ten narrative dimensions like plot, character psychology, and pacing, this tool uncovers the subtle patterns that make AI writing feel formulaic. The researchers discovered that while human authors write with incredibly diverse structures, AI models consistently cluster in a predictable narrative space. Using this map, a classifier can identify whether a story was written by a human or an AI with over ninety-three percent accuracy, showing us exactly where artificial creativity hits its limits.

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📦 dekart-xyz/geosql

Geo SQL

Your AI assistant can now write perfect spatial queries and catch its own coding errors by looking at a map. An open source tool called geosql acts as a bridge that installs directly into local AI tools like Claude, Codex, and GitHub Copilot. It explores your actual database schemas, drafts precise geographical queries, and enforces smart cost guards so you never accidentally run a massive, expensive query. But here is the brilliant part: it spins up a local map, looks at the visual output, and uses that visual feedback to self-correct boundary mistakes that text alone would miss. It is basically giving your AI a pair of eyes for geographic...

📰 https://news.ycombinator.com/item?id=48829242

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📦 robodojo-benchmark/robodojo

RoboDojo

Evaluate generalist robots on complex, hard manipulation tasks using a standardized testing ground. RoboDojo provides a unified framework to test robot skills across fifty-four challenging simulation and real-world tasks, targeting crucial capabilities like generalization, memory, and precision. By separating the physics simulation from the control policy, you can plug in over forty different AI models and evaluate them under identical conditions. It brings together physically grounded objects, multi-task parallel runs, and a consistent leaderboard. It is the ultimate playground for seeing how smart a robot controller really is before deploying it to the physical world.

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📦 rightnow-ai/auto

Auto

Compile recorded AI agent behaviors into fast, secure, and incredibly cheap WebAssembly binaries. The auto repository treats expensive frontier models as interpreters, records how they handle tasks, and extracts the underlying logic. It figures out which parts of an agent's reasoning are actually symbolic patterns and compiles them into sandboxed binaries that run on small, specialized models. If the system encounters a brand-new scenario, a guard automatically hands the task back to the frontier model, records the new solution, and recompiles it. This means you never pay to solve the same complex problem twice, cutting operational costs while keeping execution blazing fast.

📰 https://news.ycombinator.com/item?id=48822488

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📦 powertony102/recal3r

recal3r

recal3r is the streaming three-D reconstruction tool that finally keeps long video-to-three-D models from falling apart over time. If you have ever tried turning a video stream into a three-D map, you know that mistakes build up quickly, creating messy, warped reconstructions. This project solves that by analyzing how reliable each part of the video's data is during the reconstruction process. It automatically scales down the training rate for uncertain areas so noisy data does not ruin the model's memory. The result is a much cleaner, highly accurate three-D reconstruction over long video paths, giving you precise camera tracking and depth mapping.

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📦 showlab/padcaptioner

PadCaptioner

AI models are notoriously slow at writing detailed captions for long videos because they generate descriptions word by word, in a single file line. PadCaptioner changes the game by proving a smaller model can write detailed video descriptions faster and better than models twice its size. Instead of waiting for one sentence to finish before starting the next, it figures out which events in a video don't depend on each other and generates those captions in parallel. It uses a clever planning step to group distinct moments together, giving you lightning-fast, highly accurate video summaries. Keep an eye on this project, as the code is dropping soon.

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📦 kklimuk/docx-cli

DOCX CLI: The Ultimate Tool for AI Agents Editing Word Documents

Handing a Word document to an AI agent usually ends in absolute disaster, with the model bloating your token count or spitting out corrupted XML files that Word refuses to open. That is where docx-cli comes in, letting AI agents seamlessly read, edit, and redline Word documents from the command line while keeping the styling completely intact. By converting the document into annotated Markdown with stable locators and applying edits directly to the underlying XML, the agent never has to struggle with formatting. This clever tool is a must-have for building robust, document-editing AI workflows.

📰 https://news.ycombinator.com/item?id=48821500

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📦 oceanflowlab/omnivtg

OmniVTG

Pinpoint exact moments in long, unedited videos just by typing a simple text description. OmniVTG introduces a massive dataset featuring over two thousand hours of diverse video content alongside a training system that teaches artificial intelligence how to think through video searches. Instead of just guessing, the AI uses a self-correction chain of thought to double-check its work and find precise start and end times down to the second. It solves the frustrating challenge of hunting through raw footage, making open-world video search incredibly accurate. Check out the project to see how it can find any action in seconds.

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📦 alibaba-damo-academy/rynnworld-4d

Rynn World 4D

Teach your robots how to interact with the physical world by predicting geometry and movement simultaneously. rynnworld-4d does this by generating synchronized video, depth, and optical flow inside a unified four-dimensional simulation. Instead of just guessing what flat pixels will look like next, this system tracks how objects actually move and change shape in 3D space. It uses a clever three-branch neural network to keep the appearance, depth, and motion perfectly aligned, which feeds directly into an action controller to guide dual-arm robot hands in real time. It is a brilliant way to give machines a better sense of physical intuition.

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📦 lqs/retrotick

RetroTick

You can actually run retro Windows and DOS executables directly in your web browser without running a heavy virtual machine. A brilliant project called retrotick accomplishes this by emulating an x86 processor and rebuilding classic operating system interfaces entirely in TypeScript. Instead of loading a massive virtual disk, you just drag and drop an old application right onto the page. It translates old graphics and audio on the fly, meaning you can play original games like Minesweeper or launch classic 3D screensavers in a web tab. It is an incredibly clever way to preserve vintage software using modern web standards.

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📦 sakuraaa0/rabitqcache

Rabitqcache

Running long-context AI models usually slows to a crawl because storing the conversation history eats up massive amounts of GPU memory. Rabitqcache fixes this by compressing that history down to tiny binary representations using randomized rotation and high-speed math. Instead of guessing which past tokens to look at with expensive calculations, this system uses an incredibly fast math trick to dynamically grab only the exact history it needs on the fly. It even hides the compression process in the background so your hardware never has to wait around. If you want to run massive prompt histories on normal hardware without your generation speeds falling off a cliff, you should definitely...

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📦 ruvnet/ruvector

RuVector

RuVector is the self-learning vector database that actually gets smarter the more you use it. While standard databases just search the same way forever, this clever tool watches your queries to automatically improve search results and tune itself on the fly. It runs AI models locally on your own hardware without any expensive cloud APIs, and it can drop right into PostgreSQL or run inside a web browser from a single file. It is basically a brain for your data that fits anywhere. You get better, faster search that adapts to your workflow without the headache of managing complex cloud clusters.

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📦 johnviljoen/jaxipm

jaxipm

An open-source tool called jaxipm can solve hundreds of complex mathematical optimization problems at the exact same time on a single graphics card. Typically, hardware-accelerated math solvers run tasks one after another, which leaves valuable computing power sitting idle. This project solves that waste by bundling those separate problems into batches, fully saturating the processor's capacity. By utilizing specialized hardware libraries to handle these groups simultaneously, it achieves massive speedups compared to traditional methods. It shows that we do not need massive supercomputers for heavy optimization tasks when we can coordinate our existing hardware more efficiently.

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📦 timjaspers0801/atlas

Atlas

Teach computers to recognize real-time human anatomy during surgery by setting up a massive medical imaging pipeline. This project provides the downloading and processing tools for a massive dataset of over one hundred and twenty thousand annotated video frames spanning fourteen different surgical procedures. Instead of forcing you to store massive video files, it lets you download public surgical videos and automatically extract only the precise frames containing key organs and tools, perfectly aligned with expert-labeled anatomical masks. It is a brilliant way to train medical artificial intelligence without drowning in raw video storage, giving you clean, curated data for smarter surgical assistants.

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