📦 daminoup88/wattseal

Is Your PC Wasting Energy? Meet WattSeal

Ever wonder how much electricity your computer actually consumes or which apps are silently draining your power? WattSeal is a powerful real-time monitoring tool that breaks down energy usage for every component and application on your system. It provides a live dashboard to track CPU, GPU, and RAM power draw, helping you identify energy hogs and monitor your carbon footprint right from your desktop. Built with Rust, it uses precise hardware sensors to give you accurate insights while keeping all your data private. Take control of your efficiency and see exactly what is powering your digital workspace today.

📰 https://news.ycombinator.com/item?id=47426564

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📦 vllm-project/semantic-router

Master LLM Routing with Semantic Router

Struggling to manage multiple AI models across your cloud or edge infrastructure? This repository provides a system-level intelligent router designed for mixture-of-models environments. It solves the complexity of scaling and selecting the right model for specific tasks by offering robust routing policies, a fleet simulator for testing performance, and tools for training specialized model classifiers. Whether you are dealing with cloud-based deployments or local data centers, this project gives you the architecture to automate and optimize model traffic effectively. Dive into the provided deployment recipes and simulators to start smarter routing for your AI applications today.

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📦 anthropics/claude-code-security-review

Automate Security Audits with Claude Code

Stop chasing false positives and start catching real security risks in your pull requests with this powerful AI tool. This repository provides a specialized GitHub Action that leverages Claude to perform deep semantic security analysis on your code changes. Instead of simple pattern matching, it understands your code intent to identify critical vulnerabilities like injection attacks and broken authentication, while automatically filtering out noise to keep your workflow clean. You can even customize the scan with your own organization-specific instructions. Integrate it today to bring a professional security engineer's perspective to every single pull request you merge.

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📦 edwardkim/rhwp

Build a Custom HWP Viewer and Editor with Rust and WebAssembly

Ever wondered how to build your own document editor? This project is an ambitious effort to create a native HWP viewer and editor from the ground up using the power of Rust and WebAssembly. It solves the complex challenge of parsing and rendering the specialized HWP document format, bridging the gap between high-performance systems and modern web technologies. By leveraging Rust, it ensures efficient memory management and cross-platform compatibility, allowing for sophisticated tasks like complex table rendering and precise layout control. Check out this repository to explore a serious engineering approach to document processing and see how you can contribute.

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📦 maziyarpanahi/openmed

Healthcare AI That Never Leaves Your Device

Imagine performing advanced medical data analysis without ever sending patient information to the cloud. This project offers an open-source, healthcare-focused artificial intelligence suite that runs entirely on your local hardware. Whether you need to extract medical entities, detect conditions, or strip personal identifiers to ensure privacy, this tool handles it all on your own machine. It supports over one thousand specialized models and even accelerates performance on Apple Silicon through native integration. With support for Python, Docker, and Swift, it is designed to fit seamlessly into any secure clinical workflow. Take full control of your medical data today.

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📦 suntay44/web-to-mobile-magic-plugin

Convert Any Website Into a Native Mobile App Using AI

Ever wanted to turn your website into a mobile app without the endless manual rework? Meet an open-source AI plugin designed for your favorite coding agents that makes website-to-mobile migration a breeze. By providing a URL or your GitHub repository, this tool audits your web project, creates an approval-gated migration plan, and helps you build a native Expo React Native app. It smartly handles dependency mapping and navigation shifts, letting you focus on the app while it manages the transition. Stop re-explaining your project and start building today with this powerful, audit-first workflow for faster development.

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📦 echo-team-joy-future-academy-jd/echo-memory

Stop Video Models from Forgetting! Meet Echo-Memory

Ever notice how AI-generated videos drift and lose track of objects when the camera moves? Echo-Memory tackles this problem head-on. This repository provides a controlled study on how to keep action-world models consistent by testing different memory types like spatial grids and state-space modules. It includes a full framework for training and evaluating video generation, helping models remember identity and layout during long-horizon revisits. Whether you are using raw context frames or compressed history, these tools help anchor your AI to the scene. Explore the provided checkpoints to see how better memory makes for more stable, realistic video generation.

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📦 coder/balatrobot

Build Your Own Balatro AI Bot

Ever wanted to build your own bot to play the poker roguelike Balatro? This powerful framework makes it possible by providing an API for external program interaction. It works as a mod that exposes the game state and controls via a JSON-RPC HTTP server, letting you programmatically handle everything from selecting blinds and playing cards to managing shop transactions. With both a robust Python client and a Lua-based internal API, you can easily read the game state or issue commands to automate your runs. It is the perfect toolkit for anyone looking to experiment with game automation and AI integration.

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📦 microsoft/latentspatialmemory

Revolutionizing Video Generation with Latent Spatial Memory

Ever wonder how AI can create consistent 3D worlds without getting lost in the details? This project introduces an innovative approach to video world models by storing 3D scene content directly as latent tokens. By skipping the tedious process of constant rendering and re-encoding, it maintains perfect spatial consistency across video chunks. This method is incredibly efficient, resulting in significantly faster generation and massive reductions in memory usage compared to traditional caches. It is a game-changer for building persistent, high-quality digital environments. Keep an eye on this space as these advancements continue to push the boundaries of creative technology!

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📦 openlair/openskill

Stop Training AI: Let Agents Learn for Themselves with OpenSkill

Imagine if AI agents could teach themselves new skills without human help. That is exactly what OpenSkill solves. Traditional AI requires hand-curated data, but OpenSkill lets agents build both their own skills and verification signals from scratch using only a task prompt and open-world resources. By retrieving knowledge from the web and refining skills through self-built virtual tests, agents can evolve in total isolation from target-task supervision. This new paradigm makes AI surprisingly capable and grounded, achieving performance that rivals human-level benchmarks. Stay tuned as this framework evolves, because the future of autonomous agent learning is just getting started.

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📦 dataarctech/bayesian-agent

Stop Prompting, Start Evolving: Meet Bayesian-Agent

Tired of manual prompt engineering? Discover Bayesian-Agent, a powerful framework that turns your AI agent trajectories into reusable, evidence-weighted skills and procedures. Instead of guessing what works, it uses a Bayesian layer to treat every success and failure as data, allowing agents to evolve their own operational knowledge across different platforms. Whether you are repairing failed tasks incrementally or building complex workflows from scratch, this tool helps you optimize performance with actual verified evidence. It even features a native harness for running your own LLM loops. Start treating your agent's experiences as assets and level up your automation strategy today.

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📦 dmmm1997/videoseg-o3

VideoSEG-O3: Mastering Video Object Segmentation with Reinforcement Learning

Ever wonder how AI can track objects in videos with such precision? Meet VideoSEG-O3, a cutting-edge reinforcement learning framework designed to master reasoning video object segmentation. Instead of just looking at fixed frames, this system actively explores temporal intervals and keyframes to understand object identity, motion, and complex linguistic cues. By using a decoupled thinking trace, it structures reasoning into a clear multi-turn workflow, aligning model decisions with high-quality pixel-level masks through advanced reinforcement learning. Whether you are tackling intricate visual tasks or pushing the boundaries of spatial-temporal AI, VideoSEG-O3 provides a smarter way to see the world.

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📦 centrechen/embfilter

Optimize Your Text Embeddings with EmbFilter

Want to boost your text embeddings without the heavy lifting? Check out EmbFilter, a lightweight linear filter designed to refine zero-shot text embeddings effectively. Based on the research paper exploring how embedding matrices act as a feature lens, this tool allows you to compress and clean up your data with ease. You can simply specify a filter ratio to determine how many dimensions to save, giving you better control over your model performance. It is a smart, streamlined way to enhance your text processing pipeline. Dive into the repository to see how it can sharpen your projects today.

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📦 marinero4972/awesome-humanview-videounderstanding

Mastering Video AI: A Human-View Approach

Ever wonder how artificial intelligence actually makes sense of the hours of video footage it processes? This repository features a comprehensive survey on human-view video understanding using large multimodal models. It breaks down complex video analysis into three cognitive pillars: watching for perceptual grounding, remembering to maintain context over long streams, and reasoning to derive evidence-based answers. Whether you are interested in fine-grained temporal grounding or efficient long-video processing, this collection provides a structured look at the latest methods and benchmarks in the field. Dive into this academic survey to see how researchers are building smarter, more observant video intelligence.

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📦 melandlabs/openloomi

Stop Forgetting! Meet OpenLoomi: Your Proactive AI Memory

Are you tired of losing track of important work details across endless apps? OpenLoomi is an open-source, local-first AI workspace that acts as a proactive partner for your professional life. It connects directly to your favorite tools like Slack, Jira, email, and Google Drive to build a comprehensive context graph of your projects, decisions, and communications. By running locally with AES-256 encryption, it keeps your data secure while providing intelligent, context-aware assistance that anticipates your needs. Whether it is tracking documents or automating tasks, OpenLoomi ensures your digital workspace finally works for you. Take control of your workflow and stay focused today.

📰 https://news.ycombinator.com/item?id=48460969

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📦 fareedkhan-dev/all-agentic-architectures

Master 35 Agentic AI Architectures in One Library

Stop guessing which AI agent pattern actually works and start building with a professional standard. This repository is a powerful Python library and runnable textbook that puts thirty-five production-grade agentic architectures, like Reflexion, GraphRAG, and MemGPT, directly into your hands. It solves the chaos of choosing the right approach by providing a unified interface and a comparative benchmark leaderboard for seventeen distinct tasks. With multi-provider support, you can easily swap models while keeping your logic intact. Dive into these live, executed examples to sharpen your skills and finally master the complex world of agentic AI design.

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📦 giovannipasq/agentic-rag-for-dummies

Build an Agentic RAG System in Minutes

Want to build an intelligent search system that actually understands context? This repository provides a modular blueprint for an Agentic RAG system using LangGraph. It solves the typical RAG limitations by utilizing hierarchical indexing and multi-agent reasoning, which splits complex questions into manageable sub-queries for higher accuracy. You get professional features like conversation memory, automatic query clarification, and even a human-in-the-loop workflow. It is designed to be provider-agnostic, letting you switch between major LLMs with ease. Whether you are learning core concepts or building a scalable production-ready architecture, this project offers the perfect foundation to start your agentic AI journey today.

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📦 vstorm-co/pydantic-deepagents

Build Autonomous AI Agents with Pydantic Deep Agents

Ever wonder how to build production-grade autonomous agents that actually get things done? Meet the harness that transforms any language model into a capable, functional assistant. Instead of starting from scratch, you get a complete infrastructure for planning, memory, and sandboxed code execution right out of the box. Whether you need to automate complex file operations, delegate tasks to subagents, or maintain infinite context through smart summarization, this framework handles the heavy lifting. With built-in support for Docker workspaces and custom skill definitions, you can finally move from simple chat to reliable, multi-step automation. Take control of your AI workflow today.

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📦 souravroy-etl/duckle

Duckle: The Local-First AI ETL Studio You Need to Try

Tired of complex server setups just to move your data around? Meet Duckle, an open-source, local-first ETL studio that brings professional data engineering right to your laptop. With its drag-and-drop canvas, you can easily design pipelines and execute them at native speeds using DuckDB. The best part is the built-in AI assistant, Duckie, which runs entirely on your CPU to write your pipeline logic in plain English. With over two hundred connectors and built-in Git support, it is the perfect tool for developers who value privacy and speed. Download this tiny, powerful app and start building data pipelines locally today.

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📦 denoland/clawpatrol

Stop Rogue AI Agents: Meet Claw Patrol

Are you concerned about AI agents accessing sensitive production environments? Meet Claw Patrol, a security firewall designed specifically to gate agent actions. By sitting directly between your agents and your infrastructure, it parses traffic at the wire level and enforces granular security policies written in simple configuration files. For example, you can block destructive database commands or require human approval before specific actions like deleting Kubernetes resources occur. It provides a secure tunnel for your agents, ensuring every request is safe. Take control of your agent traffic today and prevent unauthorized access with this powerful, unified security gateway.

📰 https://news.ycombinator.com/item?id=48462928

🆔 @hackernewsgithubprojects