January 22, 2026
Anthropic has released an open‑source Performance Take‑Home repository that gives developers an opportunity to try and beat the 2‑hour benchmark set by Claude Opus. The repo contains Python code, a suite of tests, and detailed performance metrics. In this guide we walk through the structure of the repo, explain how to run the tests, compare your results against Anthropic’s documented cycle counts, and share best‑practice tips for squeezing out extra speed. Whether you’re competing for a job opportunity or just curious about AI model performance, this challenge offers a hands‑on way to dive into code‑level optimisation and benchmarking.
Meet Unlighthouse – an open‑source, Node‑based CLI that runs Google Lighthouse across every page of your website with minimal setup. From smart sampling and modern UI dashboards to seamless integration with CI pipelines, Unlighthouse delivers comprehensive performance reports faster than most competitors. Learn how to install, configure, and extend the tool, and discover real‑world use cases that help developers and site owners uncover hidden performance bottlenecks, improve SEO, and boost user experience.
Final2x v4.0 brings powerful, GPU‑accelerated super‑resolution to every desktop. Built with Electron, TypeScript, and the new Final2x‑core, this cross‑platform app supports custom models and works on Windows, macOS, and Linux with minimal installation steps. Whether you’re a hobbyist or a professional, the intuitive UI lets you upscale images quickly, tweak settings, or integrate your own models. The release also adds Nvidia 50‑series GPU support and an easy command‑line interface via Final2x‑core. Read on to discover installation tips, feature highlights, and how to contribute to this growing open‑source project.
Happy Coder turns your phone or browser into a real‑time command‑center for Claude Code and Codex. With end‑to‑end encryption, instant device switchover, push notifications, and a zero‑telemetry CLI, it’s the most developer‑friendly, privacy‑first way to run AI coding agents on the go. Learn how to install the Happy CLI, set up the mobile app, and start controlling your AI across devices in minutes.
Learn how to leverage ComfyUI‑GGUF, an open‑source extension that adds GGUF quantization support to the popular ComfyUI workflow. By loading quantized models in the lightweight GGUF format, you can run recent diffusion architectures such as Flux 1‑Dev or Stable Diffusion 3.5 on modest GPUs while dramatically reducing VRAM usage. This article walks through the installation prerequisites, how to clone the repo into your custom_nodes folder, install the gguf dependency, and replace the standard model loader with the GGUF Unet loader. It also covers pre‑quantized models, experimental LoRA support, and platform‑specific nuances. By the end, you’ll be ready to run cutting‑edge AI models at a fraction of the cost.
Meet obsidian‑skills, the open‑source library that lets Claude and Codex turn your Obsidian vault into a smart workspace. By following the Agent Skills specification, it supports plain‑text file creation, Obsidian‑style Markdown, and JSON canvas editing. Install it straight from the Obsidian plugin marketplace or drop the files into your /.claude or ~/.codex/skills folders. In just a few clicks, you’ll be able to ask Claude “create a new meeting note” or Codex “format the last blog post” and watch the changes happen instantly. Boost productivity, reduce manual typing, and keep everything in one place.
OpenWork delivers a clean, guided workflow for knowledge workers by wrapping OpenCode in a user‑friendly desktop app. With workspace selection, real‑time execution plans, permission prompts, reusable templates, and a skill manager, it transforms complex AGI orchestration into a product‑like experience. Built with Tauri, TypeScript, and Rust, OpenWork runs locally or remotely, supports live streaming via SSE, and keeps everything auditable. This guide walks you through installation, architecture, key features, and how OpenWork bridges the gap between developer‑centric tooling and everyday productivity needs. Whether you’re a solo writer or a small team, discover how OpenWork makes agentic work feel like a polished app rather than a terminal.
Calling a human from Claude is easier than ever with CallMe, a lightweight open‑source plugin that connects Claude Code to your phone via Telnyx or Twilio. This guide walks you through all the steps you need: setting up a phone number, configuring environment variables, creating an ngrok tunnel, and running the local MCP server. Learn how to use the built‑in tools like `initiate_call`, `continue_call`, and `speak_to_user`, and get tips on costs, troubleshooting, and scaling the solution. Whether you’re a developer or a casual Claude user, you’ll discover how to keep your team in the loop without manual follow‑ups.
Discover Claude‑Cowork, an open‑source desktop AI application that turns Claude into a hands‑on assistant for coding, file management, and any task you can describe. Built on TypeScript and Electron, it integrates seamlessly with Claude Code, giving developers visual feedback, session tracking, and easy access to tool outputs without leaving their IDE. The article walks through installation, quick‑start commands, key features, and how to customize it for your projects, making it a must‑add to any developer’s toolkit.
Openwork is a free, MIT‑licensed AI desktop agent that automates file management, document creation and browser workflows—all on your local machine. With support for OpenAI, Anthropic, Google, xAI and Ollama, it gives you full privacy control, no data sent to the cloud and the ability to choose exactly which folders the agent can touch. Learn how to install it, configure local models, craft custom skills and streamline your daily tasks with this powerful, open‑source tool.
Meet Nanocode – a lightning‑fast, single‑file Python AI assistant that brings Claude‑style agentic loops to your terminal without any heavy libraries. With built‑in tools for reading, writing, editing, searching and shell execution, Nanocode lets you experiment with AI automation on any system. Learn how to set it up, run it with Antropic or OpenRouter, and extend its toolset in just a few lines of code. Whether you’re a curious developer or a data‑science enthusiast, Nanocode shows how powerful AI can be delivered in a minimal, portable package.
Discover MapToPoster, a lightweight Python tool that transforms any city into a sleek, minimalist poster. Using OpenStreetMap data, OSMnx, and Matplotlib, it generates beautiful themed maps with just a couple of CLI commands. The repo includes 17 ready‑made themes—ranging from classic noir to neon cyberpunk—and lets you design your own. Follow our step‑by‑step guide to install, customize, and export posters, then share your best city snapshots with friends or embed them in your portfolio.