📦 ryanthedev/code-foundations

Code Like a Senior Engineer with AI

Scale your development efficiency by integrating proven engineering disciplines directly into your AI coding workflow. This repository provides a specialized plugin that transforms AI agents into structured, high-quality engineers by encoding foundational software design principles into actionable checklists and verification protocols. You can facilitate requirement discovery, generate implementation-ready plans, and execute gated builds where a secondary agent verifies every task against your goals before committing changes. It prevents common pitfalls like silent descoping and sloppy architecture, ensuring your AI outputs code that is as disciplined and reliable as a seasoned developer's work.

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📦 syncable-dev/memtrace-public

Give Your AI Coding Agents Structural Memory

Empower your AI coding agents to navigate complex projects with structural memory by transforming your codebase into a live, bi-temporal knowledge graph. This local tool indexes massive repositories in seconds using Rust and tree-sitter parsers, allowing agents to understand call edges, symbol relationships, and version history without costly LLM calls. It integrates seamlessly as an MCP-native server across various editors, providing agents with instant, accurate context to prevent broken refactors and integration collisions. By keeping your code entirely on your machine, it ensures privacy while offering deep architectural insights, ultimately helping your agents truly remember and evolve your codebase.

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📦 danpozmanter/gossamer

Gossamer: The Programming Language That Unites Scripting Ease with Compiled Power

Gossamer is the programming language that finally brings together the rapid iteration of scripting with the high performance of compiled binaries. Designed to streamline your development process, it allows you to run code in an interactive environment and then build it into optimized, standalone executables without changing your logic. The project features deterministic, automatic memory management and supports efficient memory handling through specialized blocks. With a syntax that supports top-level statements and pipeline operators, Gossamer aims to replace multiple languages for your everyday tasks and web services. Explore this flexible tool to see how it balances safety, efficiency, and developer speed.

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📦 tetheria/aero-hand-open

Build Your Own Dexterous Robotic Hand with Aero Hand Open

Build a sophisticated, tendon-driven robotic hand for dexterous manipulation research using this open-source project. Designed for accessibility, it utilizes standard 3D-printed parts and off-the-shelf electronics to keep costs low without sacrificing performance. The system features a 7-degree-of-freedom structure with 16 joints, providing smooth, natural motion controlled via an independent Python SDK or ROS2 integration. Whether you are performing complex gestures or training reinforcement learning policies in high-fidelity simulations like MuJoCo, this platform offers a reliable foundation for your robotics development. Dive into the provided CAD files and firmware to start assembling your own capable manipulation platform today.

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📦 deepseek-ai/deepspec

DeepSpec: Full-Stack Speculative Decoding Training

DeepSpec is the comprehensive codebase that simplifies training and evaluating draft models for speculative decoding. By providing a full-stack pipeline, it enables users to prepare data, train specialized draft models, and benchmark their performance on various language tasks. The process involves regenerating target model outputs, caching them, and then training efficient draft architectures like DSpark, DFlash, or Eagle3. It bridges the gap between raw data and high-performance inference, offering researchers a streamlined way to optimize speculative decoding workflows. This project empowers developers to build faster, more efficient language models by leveraging proven, modular, and scalable implementation strategies.

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📦 farukcan/ratatui-unity

Build Terminal Interfaces in Unity with Rust

Build sophisticated terminal user interfaces directly inside your Unity projects using this native Rust plugin. It acts as a high-performance rendering engine that brings the popular Ratatui ecosystem to the game engine by passing a zero-copy pixel buffer through a robust interface. You can implement custom widgets, interactive charts, and diagnostic overlays across all major platforms, including WebGL and mobile. By keeping data ownership in C# and delegating heavy rendering tasks to Rust, it maintains efficiency while providing a flexible way to visualize data or debug games. Enhance your development workflow by integrating these clean, terminal-style interfaces today.

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📦 komal-skynet/claude-skill-homeassistant

Supercharge Your Home Assistant with Claude Code

Home Assistant Manager is the Claude Code skill that turns your AI assistant into a specialized expert for managing your smart home configuration. This tool streamlines your workflow by enabling rapid deployment through secure file transfers, intelligent reload versus restart decision-making, and automated verification of your automations and template logic. It helps you build responsive tablet dashboards, debug complex Jinja2 templates, and maintain clean configuration files with git integration. By providing a structured, verifiable development loop, it significantly reduces downtime and testing frustration, making it an essential companion for maintaining and scaling your local Home Assistant instance.

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📦 kunchenguid/axi

AXI: A New Paradigm for Agent-Native CLI Tools

AXI is the agent-native interface that streamlines command-line tools for AI agents to achieve higher accuracy at a lower token cost. By applying ten design principles—such as token-efficient output formatting, pre-computed aggregates, and structured error handling—it creates a more ergonomic environment for agents compared to standard CLIs or structured protocols like MCP. The project includes a shared Node.js SDK and various reference implementations, such as tools for GitHub and browser automation. Adopting AXI-compliant designs helps you build apps that agents handle more effectively, ensuring your AI workflows remain fast, cost-efficient, and reliable every time.

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📦 kunchenguid/lavish-axi

Stop Screenshots: Use Lavish Editor for Agent Artifacts

Lavish is the local-first editor that transforms how you collaborate with AI on generated HTML artifacts. Instead of relying on static screenshots or long text descriptions, this tool opens agent-created HTML directly in your browser. You can pinpoint specific elements or text ranges to provide precise, visual feedback that the agent can immediately address. It functions as a seamless local server with zero cloud dependency, featuring layout audits that catch errors before you even review. Lavish bridges the gap between human oversight and agent output, turning your interactive projects into a true two-way conversation.

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📦 boltzmannentropy/mimikastudio

Local-First AI Voice Cloning for macOS

MimikaStudio is a local-first application built for macOS with Apple Silicon that enables powerful voice cloning and text-to-speech capabilities directly on your machine. By leveraging advanced engines like Qwen3-TTS and Kokoro, it allows you to clone any voice using as little as three seconds of audio or generate expressive speech from text. The software features an integrated audiobook creator with document support for formats like PDF and Markdown, all while maintaining a private, on-device workflow. With native Metal acceleration, it provides a fast, unified dashboard for managing voice presets and agentic voice cloning jobs, offering a complete professional-grade audio toolkit.

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📦 kunchenguid/firstmate

Stop Tab-Juggling: Meet Your Firstmate

Firstmate is the automation orchestrator that turns your coding agents into a scalable, coordinated crew. Instead of manually babysitting multiple AI sessions or copy-pasting context between windows, you talk to one single liaison that dispatches tasks in parallel. It handles the heavy lifting by spawning autonomous agents inside individual tmux windows, each running in its own isolated git worktree to prevent conflicts. Whether you need code fixes, project audits, or investigation reports, Firstmate supervises the process and delivers finished pull requests directly to you. It keeps your workspace clean, organized, and focused so you can simply lead the fleet.

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📦 elliotgao2/handsets

Blazing Fast Android Automation Without Root

Automate Android devices directly from your terminal with record-breaking speed. This high-performance command-line tool executes actions in just a few milliseconds, making it ideal for both human interaction and automated agents. It works by running a lightweight daemon on the device, allowing you to find elements by label, capture screenshots, and manipulate apps without needing root access or complex installations. Whether you are performing mobile testing or building custom automation workflows, the tool offers a seamless experience with an intuitive terminal inspector and robust scripting capabilities, giving you a professional-grade alternative for managing Android devices with ease.

📰 https://news.ycombinator.com/item?id=48219188

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📦 ivorpad/mercadona-cli

Automate Your Grocery Shopping with this CLI

Manage your grocery shopping directly from the terminal by using this unofficial command line interface for the Mercadona website. This tool lets you search the product catalog, check real-time prices, build a digital cart, and even complete the checkout process programmatically. It solves the need for manual navigation by offering structured data output that is perfect for agents or scripts to track inflation, compare value, or automate your weekly restocking. With built-in budget protections to prevent accidental overspending, this utility brings powerful, automated control to your routine errands while keeping your shopping experience efficient and completely hands-free.

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📦 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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