📦 sediment1024/physrag

PhysRAG: Physics-Aware Video Generation with RAG

PhysRAG is the generative framework that finally injects real-world physics awareness into AI video production. By using a retrieval-augmented generation approach, this project helps models like Wan2.2 better understand and simulate physical interactions, such as flowing liquids or bouncing objects. It works by retrieving cached physical reference features and injecting them into the denoising transformer process, allowing for more grounded motion sequences. Whether you are aiming to improve technical accuracy in your animations or just want more realistic physics in generated video content, PhysRAG provides the tools to bridge the gap between creative prompting and physical reality.

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📦 jia-lab-research/blockgtq

Optimize LLM Memory with Block-GTQ

Block-GTQ is the KV-cache quantization tool that optimizes large language model performance through intelligent RoPE-aware bit allocation. By recognizing that certain key-cache blocks carry significantly more signal than others, this project moves away from uniform quantization to strategically shift bit widths toward high-energy components. Using PyTorch and Triton, it calculates energy scores per block to prioritize essential data, resulting in substantial reductions in kernel errors across diverse models. This approach effectively balances memory usage with model accuracy, offering a robust method to streamline deployment while maintaining high performance for long-context tasks and large-scale language processing workflows.

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📦 yinjige/redi-match

REDI-Match: Fast and Robust Rotation-Equivariant Dense Matching

REDI-Match is the dense matching framework that effectively bridges the gap between vision foundation models and strict rotation equivariance. By distilling powerful semantics into a lightweight, rotation-aware encoder, it solves the challenge of maintaining accurate feature correspondence under severe in-plane rotations. The system uses an entropy-driven spatial alignment module to lock onto orientation, allowing for superior precision without massive data augmentation. It achieves significantly faster performance than current state-of-the-art models while using five times fewer parameters. This project demonstrates that high-performance vision tasks can remain both computationally efficient and geometrically consistent through clever architectural distillation.

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📦 nikitadoudikov/claude-pulse

Take Control of Claude Code with This Local Dashboard

Monitor your Claude Code sessions using a private, zero-dependency dashboard that runs locally on your machine. This project lets you track live token usage, recover lost sessions, and perform full-text searches across your entire history. You can even approve tool calls directly from your phone through secure notifications, ensuring your workflow remains uninterrupted by crashes or complex setups. By reading your existing session files, it provides an ambient office view and granular spending insights without ever sending data to the cloud. Install the necessary hooks today to gain total visibility and remote control over your coding assistant.

📰 https://news.ycombinator.com/item?id=48612844

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📦 hao-ai-lab/jetspec

JetSpec: Massive Speedups for LLM Inference

JetSpec accelerates large language model inference by up to nine times through a technique called causal parallel tree drafting. Traditional speculative decoding often struggles to balance drafting speed with accurate token conditioning, but this project solves that by using a specialized draft head that emits a full token tree in a single parallel pass. The target model then verifies this entire tree using a tree-causal attention mask, ensuring the output remains lossless. By combining paged memory management with custom Triton kernels, it provides a high-throughput engine that makes complex reasoning and coding tasks significantly faster.

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📦 looplj/axonhub

Simplify Your AI Development with AxonHub

Streamline your AI development by using this open-source gateway to access over one hundred different language models through any existing software development kit. It solves the headache of vendor lock-in and complex integrations by standardizing requests into a single, unified format, allowing you to swap between models like GPT, Claude, and Gemini without changing a single line of your code. You can also monitor your usage with real-time cost tracking, built-in failover for reliability, and comprehensive request tracing for easier debugging. Take full control of your infrastructure and optimize your development workflow today.

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📦 fossprime/steam-controller-auto-charge

Automate Your Controller Charging with Computer Vision

Triton Auto-Charge Vision Tracker is the browser-based tool that uses optical flow to steer your controller onto its charging puck. By leveraging a standard overhead webcam and OpenCV, the application tracks your Triton controller and guides it toward the magnetic dock using haptic pulses. It dynamically adjusts navigation as the controller nears the puck, ensuring a gentle and successful connection. The project even monitors battery levels and voltage in real time through WebHID telemetry, making your charging process completely autonomous. Give your desk setup a high-tech upgrade and let your hardware dock itself with ease.

📰 https://news.ycombinator.com/item?id=48693338

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📦 danielealbano/android-remote-control-mcp

Control Your Android Device with AI Using MCP

This Android application turns a phone into a remote Model Context Protocol server that allows AI models to interact directly with the device. By leveraging accessibility services and screen capture, the server enables AI to read user interface elements, perform taps, type text, and manage files. The implementation includes automated tunnelling options like Cloudflare and Ngrok to simplify remote connections while keeping token usage optimized. This project effectively bridges the gap between AI agents and physical device operations for research and automation purposes. Exploring this tool reveals how effectively external models can navigate and control complex mobile environments.

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📦 onemana-soft/onecamp-fe

Build Your Own All-in-One Private Workspace

Manage your entire workflow from a single, self-hosted platform designed to centralize team collaboration. This repository provides a modern Next.js frontend that powers an integrated environment for real-time chat, task management with Kanban boards, and collaborative document editing. By keeping everything on your own infrastructure, you maintain complete ownership of your data while utilizing professional tools like LiveKit for video meetings and Tiptap for rich-text documentation. It is a robust solution for teams looking to replace fragmented services with a unified, customizable, and private workspace. Explore the codebase to deploy your own private command center today.

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📦 tt-a1i/archify

Turn Natural Language into Beautiful Architecture Diagrams

Archify is the agent skill that finally turns your plain-English system descriptions into beautiful, professional architecture diagrams. Instead of manually drawing boxes and arrows, you simply describe your technical workflow, data flow, or system components to an AI, which then generates a self-contained HTML file. You get an interactive diagram with a built-in dark and light theme toggle and options to export crisp images in multiple formats or copy them directly to your clipboard. It is a fantastic tool for creating polished, high-resolution documentation for your projects, making it easier than ever to visualize complex processes effortlessly.

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📦 breaking-brake/cc-wf-studio

CC Workflow Studio: Build AI Agent Workflows Visually

CC Workflow Studio is the visual editor that finally lets you design complex AI agent workflows without writing code. This tool provides an intuitive drag-and-drop canvas for orchestrating agents, defining skills, and managing tool integrations, which it then exports into the clean Markdown format that modern AI agents natively understand. Whether you are using the VSCode extension for a seamless interface, the CLI for automation, or the MCP server for external agent connectivity, it solves the headache of manual prompt-guessing. You can design once and deploy across various agent platforms to ensure your AI automations are consistent, refined, and ready to run.

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📦 riddleling/ios-ocr-server

Turn Your iPhone Into a Private Local OCR Server

iOS OCR Server is the local utility that transforms your iPhone into a powerful, privacy-focused text recognition hub. By leveraging Apple's native Vision Framework, the project allows you to process images entirely on-device without any cloud dependencies or subscription fees. Once the app is running, it exposes a simple REST API that makes it easy to integrate text extraction into your own software or scripts. Whether you are building an automated document pipeline or repurposing an old device into a dedicated recognition node, this tool provides a secure, unlimited, and network-accessible way to handle all your OCR tasks.

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📦 rohitg00/pro-workflow

Stop Correcting Your AI: Self-Learning Workflows for Claude

Pro Workflow solves the recurring frustration of repeating corrections by embedding a persistent SQLite store directly into your Claude Code sessions. This system enables self-correcting memory, where every correction evolves into a durable rule that automatically loads at the start of new sessions. Beyond fixing mistakes, it integrates a searchable knowledge plane for research wikis and automated development workflows. With thirty-four specialized skills and twenty-two commands, it transforms your coding assistant into a structured engine that remembers your preferences, enforces quality gates, and grows smarter with every task. The takeaway is simple: your development tools should compound their intelligence over time.

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📦 pmxt-dev/pmxt

Trade Polymarket and Kalshi with One API

PMXT acts as a universal bridge for prediction markets by providing a unified API that supports platforms like Polymarket, Kalshi, and Limitless. It eliminates the frustration of managing disparate data formats and exchange conventions by consolidating everything into a single, consistent interface. You can use it as a hosted service to handle custody and order signing or self-host it to maintain full control over your keys and credentials. Because it is language-agnostic and features ready-to-use SDKs for Python and TypeScript, it allows you to build sophisticated trading tools easily. Ultimately, this project simplifies cross-platform interaction for any prediction market strategy.

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📦 pguso/ai-agents-from-scratch

Build AI Agents from Scratch: No Frameworks Needed

Building AI agents locally requires no black boxes when you understand the fundamentals of LLMs and tool integration. This repository provides a clear path for developers to learn how agents function from the ground up using local models and node-llama-cpp. You can explore core patterns like ReAct, persistent memory, and even Tree of Thought planning through hands-on examples that remove the abstraction of production frameworks. By working through these architectural examples, you gain deep insight into how agents reason, plan, and execute tasks autonomously. Start with simple interactions to demystify the logic powering today's most capable systems.

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📦 0xnyk/council-of-high-intelligence

Stop trusting one AI: Build a 18-member Council for better decisions

Council of High Intelligence is the decision-making framework that replaces flawed single-model outputs with structured, multi-perspective deliberation. It creates a council of 18 diverse AI personas—including figures like Feynman, Socrates, and Torvalds—who analyze your toughest questions across multiple LLM providers. By forcing these agents into structured rounds of independent analysis, cross-examination, and dissent-heavy debate, the system effectively combats groupthink and cognitive bias. It prevents overconfident, incorrect answers by prioritizing uncertainty and surfacing genuine disagreements through a formal, domain-weighted voting protocol. Use this tool to convert complex dilemmas into actionable, rigorously vetted strategies, ensuring every decision benefits from a board of high-intelligence minds.

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📦 jmiao24/paper2agent

Turn Research Papers Into AI Agents

Paper2Agent automatically converts academic research papers into functional, interactive AI agents with minimal human input. By analyzing a project codebase and its associated tutorials, the system constructs a specialized server that allows users to perform complex data analysis tasks directly through natural language queries. It handles everything from identifying tutorial workflows and extracting relevant tools to setting up isolated Python environments for reliable execution. This project bridges the gap between static research documentation and practical, hands-on utility. You can use these generated agents to interpret genomic data, process single-cell datasets, or execute custom scientific analyses without manual intervention.

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📦 xxhuberrr/mineradio

Mineradio: A Cinematic Immersive Music Player for Windows

Mineradio transforms your Windows desktop into a private, high-fidelity music space by combining rhythm-based cinematic visuals with a particle-driven stage experience. This immersive player integrates weather-aware radio that generates playlists based on your location and mood, alongside a unique 3D playlist shelf for seamless track navigation. Designed for users who prioritize aesthetic depth, it features a sophisticated, dark-themed interface that keeps your focus on the music while offering deep customization for lyrics, album art, and visual parameters. It provides a highly stylized, atmospheric alternative to traditional streaming clients, perfect for those seeking a more cinematic listening environment.

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📦 limhyungtae/awesome-phd-cv

Academic to Industry: The PhD CV Toolkit

Awesome PhD CV is the academic toolkit that finally bridges the gap between research-heavy CVs and industry-standard resumes. This repository provides curated LaTeX templates specifically designed to help PhD students and researchers transition into technical roles. It tackles the common problem where academic formatting—like multi-column layouts or special glyphs—fails automated applicant tracking systems used by big tech. Beyond templates, it offers a strategic guide on translating publication-driven accomplishments into project-driven impact using the XYZ formula. Use these resources to ensure your engineering expertise shines through clearly, helping your profile stand out to recruiters and land your next role.

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📦 h9zdev/geosentinel

Track Global Movement in Real Time with GeoSentinel

Monitor global movement patterns and gather geopolitical intelligence using this unified open-source platform. It aggregates live flight and vessel data, satellite tracking, and traffic camera feeds into a single, interactive 3D map interface. The system leverages advanced features like YOLO for aerial segmentation, TOR integration for private dark web searching, and an AI assistant for automated analysis of coordinates and metadata. By consolidating diverse data streams and search tools, it provides clear situational awareness for users interested in real-time geospatial tracking and OSINT. Explore the codebase to customize your own monitoring dashboard and integrate diverse data sources.

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