#python

Claude Quickstarts offers ready-made projects that help you quickly build AI applications using the Claude API. You can create tools like a customer support agent, financial data analyst, computer control demo, or an autonomous coding agent by following simple setup steps and using your Claude API key. These projects come with clear instructions and can be customized to fit your needs, saving you time and effort in development. This helps you start building powerful AI apps faster and learn how to use Claude’s advanced features effectively. You also get access to helpful resources, community support, and opportunities to contribute improvements.

https://github.com/anthropics/claude-quickstarts

#python #brain_inspired_ai #deep_learning #large_language_models #reasoning

The Hierarchical Reasoning Model (HRM) is a new type of AI that reasons more like a human brain, using a fast part for quick details and a slow part for big-picture planning. It solves hard logic tasks like Sudoku, mazes, and IQ-style puzzles very well, even though it is tiny (only 27 million parameters) and learns from very little data (just 1,000 examples). Unlike most large language models, it does not need long chains of written reasoning steps or huge amounts of training, which makes it much faster, cheaper, and more efficient. For the user, this means powerful reasoning in a small, fast system that can run on ordinary hardware and still beat much larger models on tough problems.

https://github.com/sapientinc/HRM

#python

Foundry is a toolkit that helps design new proteins using powerful AI models. It includes tools to generate protein structures (RFD3), predict how they fold (RF3), and design amino acid sequences that will form those structures (ProteinMPNN/LigandMPNN). All models work together using a common framework for handling molecular structures, making it easier to go from idea to designed protein. The benefit is that it gives a complete, flexible system to create custom proteins for research, medicine, or biotechnology, with clear instructions and examples to get started quickly.

https://github.com/RosettaCommons/foundry

#lua

OTClient Redemption is a flexible and complete alternative client for the game Tibia, designed to work with OTServ servers. It uses LUA scripting and CSS-like syntax for easy customization of the game interface, allowing you to create new mods and extend features. Written in modern C++20, it supports advanced graphics, sound, multi-language, and mobile platforms through OpenGL. It offers many features like shaders, animated textures, transparency, and an in-game LUA terminal. This client improves performance with multi-threading and garbage collection, and adapts smoothly to server latency for better gameplay. You benefit by having a customizable, high-performance client that enhances your Tibia experience and supports modding and mobile use.

https://github.com/mehah/otclient

#svelte

Foundry Local lets you run powerful AI models directly on your own computer without needing an Azure subscription or internet connection. This means your data stays private and secure because everything happens locally on your device. It automatically picks the best model version for your hardware, whether you have a GPU, NPU, or just a CPU, ensuring fast and efficient performance. You can easily install it on Windows or macOS, run models via simple commands, and integrate AI into your apps using SDKs for Python, C#, or JavaScript. This gives you full control, reduces costs, and speeds up AI tasks without relying on the cloud.

https://github.com/microsoft/Foundry-Local

#python

cuTile Python is a new programming tool from NVIDIA that lets you write GPU programs in Python more easily and efficiently. It uses a tile-based model, where you work with chunks of data called tiles, making your code portable across different NVIDIA GPUs without needing to rewrite it for each hardware generation. cuTile automatically uses advanced GPU features like tensor cores and memory accelerators, so you get high performance without complex coding. You can install it via pip, and it requires CUDA Toolkit 13.1+ and Python 3.10+. This helps you develop faster, future-proof GPU applications with less effort.

https://github.com/NVIDIA/cutile-python

#typescript #ai #cloudflare_workers #coding_agent #durable_objects #text_to_app #vibe_coding

Cloudflare VibeSDK lets you create AI-powered web apps by simply describing what you want in natural language. It’s open source and runs on Cloudflare’s platform, providing secure, isolated environments to build, preview, and deploy apps quickly with one click. You can customize AI behavior, control code patterns, and keep data private. It’s great for companies, startups, or teams who want to build apps without deep coding skills, speeding up development and enabling non-technical users to create tools easily. The platform supports live previews, chat-based interaction, and integrates with GitHub for smooth workflows.

https://github.com/cloudflare/vibesdk

#shell #awesome #awesome_list #bash

You can use Bash scripts to automate repetitive tasks on your computer, like managing files, updating software, or running system maintenance, which saves you time and reduces errors. Bash scripting is easy to learn even without programming experience because it uses simple commands you already know from the terminal. There are many resources, tools, and ready-made scripts available to help you customize your command line, improve productivity, and develop your own scripts. This makes working with your system faster, more efficient, and less prone to mistakes. Plus, you can schedule scripts to run automatically whenever you want.

https://github.com/awesome-lists/awesome-bash

#go #game_engine #game_engine_2d #game_engine_3d #game_engine_development #game_engine_framework #gameengine #go #golang

Kaiju Engine is a fast, modern 2D/3D game engine written in Go and powered by Vulkan, designed for simplicity and high performance. It runs on Windows, Linux, Android, and is working on Mac support. Kaiju offers much faster rendering speeds and lower memory use than popular engines like Unity, making game development quicker and more efficient. It uses Go’s garbage collector to help prevent common programming errors, improving stability. You can write games directly in Go, and the engine supports local AI integration and a flexible UI system using HTML/CSS. Although the editor is still in development, the engine itself is production-ready, offering a powerful tool for developers who want speed and simplicity.

https://github.com/KaijuEngine/kaiju

#python

You can access a free, detailed global dataset called the Global Building Atlas, which includes 2D building shapes, heights, and simple 3D models (LoD1) for 2.75 billion buildings worldwide, including areas often missing in other maps like Africa and South America. This data is very accurate, with a fine 3x3 meter resolution, and can be used in GIS software or downloaded fully. It helps with urban planning, disaster risk assessment, climate adaptation, and monitoring sustainable development goals by showing where people live and how cities grow. The dataset and related code are openly available for research and practical use.

https://github.com/zhu-xlab/GlobalBuildingAtlas

#javascript

Claude-Mem is a tool that helps Claude Code remember everything important from your past sessions by automatically saving and compressing what you do. This means you don’t have to repeat explanations or lose track of your project history, saving you time and effort. It offers smart search to quickly find past work, a web viewer to see memory in real time, and privacy controls to keep sensitive info safe. It also supports long projects by compressing data to avoid running out of memory. This makes your AI assistant a continuous, helpful partner that keeps your work connected across sessions.

https://github.com/thedotmack/claude-mem

#typescript

AGENTS.md is a simple, open file that acts like a special README for AI coding assistants, giving them clear instructions about your project’s setup, coding style, testing, and workflows. This helps AI tools quickly understand your codebase and produce code that fits your project’s rules, saving you time fixing mistakes. By using AGENTS.md, you make AI coding helpers more effective and consistent, speeding up development and reducing errors. It’s easy to start with and grows as your project does, making AI a reliable partner in your coding work.

https://github.com/agentsmd/agents.md

#python #agent #llm #rag #tutorial

You can learn to build smart AI agents from scratch with a free, open-source tutorial called Hello-Agents by Datawhale. It covers everything from basic concepts and history to hands-on projects like creating your own AI agent framework and multi-agent systems. The course includes practical skills such as memory, context handling, communication protocols, and training large language models. By following it, you gain deep understanding and real coding experience, moving from just using AI models to designing intelligent systems yourself. This helps you develop advanced AI skills useful for jobs, research, or building innovative AI applications. The materials are online and easy to access anytime.

https://github.com/datawhalechina/hello-agents

#python #agents #gcp #gemini #genai_agents #generative_ai #llmops #mlops #observability

You can quickly create and deploy AI agents using the Agent Starter Pack, a Python package with ready-made templates and full infrastructure on Google Cloud. It handles everything except your agent’s logic, including deployment, monitoring, security, and CI/CD pipelines. You can start a project in just one minute, customize agents for tasks like document search or real-time chat, and extend them as needed. This saves you time and effort by providing production-ready tools and integration with Google Cloud services, letting you focus on building smart AI agents without worrying about backend setup or deployment details.

https://github.com/GoogleCloudPlatform/agent-starter-pack

#rust

Tempo is a fast, low-cost blockchain built specifically for stablecoin payments, designed to handle many transactions quickly with sub-second finality. It offers predictable, very low fees paid directly in stablecoins like USDC or USDT, making it ideal for businesses, banks, and fintechs to process payments efficiently. Tempo supports batch and scheduled payments, modern authentication, and built-in compliance, helping users automate payroll, settlements, and cross-border transfers with ease. It is fully compatible with Ethereum tools, so developers can build on it without learning new systems. This means you get a reliable, scalable, and user-friendly payment network optimized for real-world financial use.

https://github.com/tempoxyz/tempo

#typescript #agent #ai #ai_memory #anthropic #artifact #artifacts #canvas #content_creation #deepseek_r1 #gemini #manus #n8n #qwen #rag #vibe_workflow #workflow

Refly.AI is the first vibe workflow platform for non-technical creators, letting you build, share, and monetize AI automations with simple prompts and a visual canvas—no coding needed. Key features include visualized steps for easy debugging, ready-to-use agents that simplify complex tasks, a copilot to turn words into workflows, and a marketplace to earn from your creations. Use the free cloud version or self-host it to automate 90% of repetitive work like content, research, and scheduling, saving hours and boosting productivity.

https://github.com/refly-ai/refly

#typescript #browser #chrome #chrome_devtools #debugging #devtools #mcp #mcp_server #puppeteer

Chrome DevTools MCP lets your AI coding tools like Gemini, Claude, or Cursor control a live Chrome browser for automation, debugging, and performance checks. Install it easily with npx chrome-devtools-mcp@latest in your MCP config, then prompt "Check performance of a site" to auto-record traces, take screenshots, analyze networks, and fix issues reliably. This benefits you by making AI smarter at web coding—verifying changes in real-time, spotting bugs fast, and boosting site speed without manual work.

https://github.com/ChromeDevTools/chrome-devtools-mcp

#python #dictionary_attack #password #password_strength #weak_passwords #wordlist #wordlist_generator

**CUPP** is a free Python 3 tool that creates custom password wordlists from personal details like names, birthdays, pet names, or nicknames, using interactive questions or existing dictionaries. Run it with options like `-i` for profiling or `-l` to download huge wordlists. This helps you in legal penetration tests or investigations by generating targeted lists for efficient brute-force or dictionary attacks, cracking weak passwords faster than generic ones.

https://github.com/Mebus/cupp

#c_lang #bk7231 #bk7231n #bk7231t #bl602 #home_assistant #iot #ln882h #mqtt #smart_home #tasmota #tuya #w600 #w601 #w800 #w801 #wifi #xr809

OpenBeken is a free Tasmota-like firmware for Tuya devices with chips like BK7231T/N, BL602, W600, ESP32, and 20+ others, adding MQTT, Home Assistant auto-discovery, OTA updates, scripting, sensors, power metering, and RGB LED control. Download ready binaries, flash easily via GUI tools or UART, and use a 700+ device database with guides. You gain cloud-free smart home control, easy local setup without AP mode, lower power use, and full customization for reliable automation.

https://github.com/openshwprojects/OpenBK7231T_App

#python #datascience #formula1 #motorsport

FastF1 is a Python package that lets you easily access and analyze Formula 1 data like results, schedules, timing, telemetry, and more. It uses Pandas DataFrames with custom F1 tools, Matplotlib for charts, and caching for fast scripts—install via pip install fastf1. You benefit by quickly pulling historical and live F1 stats to build insights, visualizations, or apps without hassle.

https://github.com/theOehrly/Fast-F1

#cplusplus #jellyfin #jellyfin_client

Jellyfin Desktop is a free app for Windows, Mac, and Linux that uses the familiar Jellyfin web interface with a built-in MPV player for smooth video and music playback in one window. It supports audio passthrough, controller use, and easy downloads from GitHub or Flathub. Build guides help customize it yourself. This gives you better media control, high-quality playback without transcoding issues, and seamless streaming from your server—saving time and improving your home entertainment setup.

https://github.com/jellyfin/jellyfin-desktop