GitHub Trends

#rust

MonadBFT is a fast and secure blockchain consensus protocol that helps many independent nodes agree on the order of transactions quickly and reliably. It separates the process of agreeing on transaction order (consensus) from actually executing those transactions, which speeds up the system and allows for high throughput with 1-second finality. This design prevents problems like chain reorganizations (tail-forks) and censorship by any single validator, making the blockchain fairer, more stable, and efficient. For users, this means faster transaction confirmations, fewer unexpected changes, and a more trustworthy network without sacrificing decentralization or security.

https://github.com/category-labs/monad-bft

#cplusplus

Monad is a fast, scalable Layer 1 blockchain fully compatible with Ethereum's EVM, allowing you to run Ethereum smart contracts without changes. It improves speed by separating consensus (agreement on transaction order) from execution (processing transactions), enabling parallel transaction execution and reaching 10,000 transactions per second with 1-second finality. Monad uses a custom EVM and a special database (MonadDb) optimized for parallel state access, reducing delays. This means you get much faster, cheaper transactions while keeping Ethereum compatibility, making it easier for developers and users to adopt and benefit from high performance and scalability.

https://github.com/category-labs/monad

#rust #gaussian_splatting #graphics #reconstruction

Brush is a powerful 3D reconstruction tool that uses Gaussian splatting to create high-quality 3D scenes. It works on many devices and systems, including macOS, Windows, Linux, Android, and even in web browsers like Chrome, without needing complex setups or heavy dependencies. You can train models interactively with your own images, view 3D scenes, and use it via a simple command-line interface. This makes it easy to create, explore, and share 3D content quickly and on almost any device, benefiting users by providing accessible, fast, and flexible 3D reconstruction technology for developers, artists, and researchers.

https://github.com/ArthurBrussee/brush

#cplusplus

This project helps you fix batteries that get locked by their Battery Management System (BMS) when it detects a fault, which sometimes happens by mistake or after the problem is fixed. Instead of throwing away a good battery, you can use open-source tools to reset the lock and save money. You set up an Arduino device and software on your computer (either a simple Windows program or Python-based) to communicate with the battery and unlock it. This way, you can repair and reuse batteries that would otherwise be wasted, reducing costs and environmental impact.

https://github.com/mnh-jansson/open-battery-information

#javascript #gaia #general_purpose #multiagent_systems #multimodel

DeepResearchAgent is a smart system that uses a top-level planner to break down big tasks into smaller parts and assigns them to specialized agents like analyzers, researchers, and browser tools. It can deeply analyze data, do thorough research, and automatically gather up-to-date information from the web. It supports many AI models and tools, including image and video generation, and runs tasks efficiently with asynchronous operations. This system helps you get detailed, well-organized research results faster and with less effort by automating complex, multi-step tasks and combining many AI capabilities in one framework.

https://github.com/SkyworkAI/DeepResearchAgent

#go

The Docker MCP Gateway helps you run and manage AI tools called MCP servers securely and easily using Docker containers. It acts as a single, safe gateway that connects AI applications to many MCP servers, handling authentication, secrets, and OAuth securely without exposing sensitive data. You can start, configure, and monitor these servers with simple commands, ensuring isolation and control. This setup lets you develop, test, and deploy AI tools faster while keeping your environment secure and consistent across different clients. It also supports automatic discovery of tools and detailed logging for better oversight. This benefits you by simplifying AI tool management and improving security in your projects.

https://github.com/docker/mcp-gateway

#python #llms #mlx

MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed.

https://github.com/ml-explore/mlx-lm

#python #agents #ai #llm #mcp

You can access a large collection of ready-to-use AI agent projects and tutorials that help you build smart applications like chatbots, research assistants, and automation tools using popular AI frameworks such as LangChain, OpenAI Agents SDK, and Agno. This collection includes simple starter agents, advanced multi-agent workflows, and tools with memory and document understanding. It also offers step-by-step setup instructions and video tutorials to help you learn quickly. Using these resources saves you time and effort in creating powerful AI apps, making it easier to develop, test, and deploy AI solutions even if you are new to AI programming.

https://github.com/Arindam200/awesome-ai-apps

#python #large_language_models #machine_learning_systems #natural_language_processing

Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.

https://github.com/fla-org/flash-linear-attention

#java #android #dalvik #kotlin #patches #revanced #reverse_engineering

ReVanced Patches let you customize Android apps by adding new features, blocking ads, changing how apps look, and more. You can remove annoying ads, personalize app themes, enable background playback, and unlock extra controls. Using tools like ReVanced Manager, you can easily apply these patches without technical hassle. This means you get a cleaner, more enjoyable app experience, especially for apps like YouTube, without paying for premium versions. It also supports ongoing updates and a community that keeps improving it, so your apps stay fresh and tailored to your needs.

https://github.com/ReVanced/revanced-patches

#python

ROMA is an open-source framework that helps you build smart multi-agent AI systems by breaking big, complex tasks into smaller parts that agents can work on at the same time. It uses a clear, step-by-step process where tasks are split, solved, and combined, making it easy to understand and fix problems. You can connect any AI model or tool, and it supports secure code execution and fast data access. This means you can create powerful, flexible AI agents for research, analysis, or other tasks, with full control and transparency over how they work, saving you time and effort in solving complex problems.

https://github.com/sentient-agi/ROMA

#typescript

Codebuff is an open-source AI coding assistant that helps you edit your entire codebase using simple natural language commands. It uses multiple specialized AI agents that work together to understand your project, plan changes, make precise edits, and review them for accuracy. This multi-agent system makes Codebuff more accurate and reliable than single-model tools, improving coding speed and reducing errors. You can install it easily via npm and start giving commands like "fix SQL injection" or "add rate limiting," and it will automatically find and update the right files while running tests to ensure nothing breaks. It also lets you create custom agents and integrate AI coding help directly into your projects, boosting productivity and simplifying complex coding tasks.

https://github.com/CodebuffAI/codebuff

#typescript #design #docs #gatsby #handbook #posthog #tailwindcss

PostHog.com is the website and code repository for PostHog, an open-source product analytics platform that helps you track user behavior, test new features, and improve your product all in one place. You can run the website locally by installing Node and Yarn, cloning the repo, and starting the development server. The site includes product docs, blogs, tutorials, and tools like job listings and pricing calculators. This setup lets you customize and contribute to the site easily, making it useful if you want to understand or improve PostHog’s platform or help develop its content and features. It supports collaboration and learning for developers and product teams.

https://github.com/PostHog/posthog.com

#javascript

Ripple is a new TypeScript UI framework that combines the best ideas from React, Solid, and Svelte to create a fast, reactive, and easy-to-use system for building web interfaces. It uses special `$`-prefixed variables for automatic reactive updates, supports clean reusable components with JSX-like syntax, and offers strong TypeScript integration with helpful VSCode tools. Ripple also includes reactive arrays, maps, and sets, making state management intuitive. Although still in early development and not ready for production, Ripple aims to improve developer experience and performance with fine-grain rendering and scoped CSS styling, helping you build modern web apps more efficiently.

https://github.com/trueadm/ripple

#javascript #ansi #ansi_escape_codes #chalk #cli #color #commandline #console #javascript #strip_ansi #terminal #terminal_emulators

Chalk is a popular Node.js tool that lets you easily add colors and styles to text in the terminal, making your console output clearer and more attractive. It supports many colors, including 256 and truecolor (millions of colors), and allows you to combine and nest styles like bold, underline, and background colors. Chalk auto-detects if your terminal supports colors and works without adding dependencies or changing built-in string behavior. You can create custom themes and use template literals for dynamic, colorful logs. This helps you highlight important information in your terminal output, improving readability and debugging. Chalk is reliable, actively maintained, and widely used in many projects.

https://github.com/chalk/chalk

#python

BlenderMCP connects Blender with Claude AI, letting you control 3D modeling and scene creation using simple text commands. You can create, modify, and delete objects, apply materials, adjust lighting, and even run Python scripts inside Blender through AI. It also supports downloading assets from Poly Haven and generating models with Hyper3D Rodin. This makes 3D design faster, easier, and more interactive, especially if you want to break down complex tasks or work step-by-step. It works on multiple platforms and integrates with tools like Visual Studio Code and Cursor for smooth workflows. Just install the Blender addon and set up the MCP server to start using AI-assisted 3D modeling.

https://github.com/ahujasid/blender-mcp

#typescript #ai #nocode #oss #synthetic_data

Hugging Face AI Sheets is a free, no-code tool that lets you create, improve, and change datasets easily using AI models through a spreadsheet-like interface. You can start with your own data or generate new data by writing simple prompts. It supports thousands of open AI models and works locally or online. You can clean data, classify text, add missing info, or create synthetic data without coding. It also lets you compare different AI models and improve results by editing outputs. This tool helps you save time and effort in managing data and testing AI models quickly and flexibly.

https://github.com/huggingface/aisheets

#scala

X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X.

https://github.com/twitter/the-algorithm

#python #agent #llms

AutoAgent lets you create and use powerful AI agents easily by just using natural language—no coding needed. It supports many large language models (LLMs) like OpenAI and Anthropic, and performs as well as top research AI systems on benchmarks. You can build tools, agents, and workflows quickly, manage data efficiently with its built-in vector database, and interact flexibly through different modes. It’s lightweight, customizable, and cost-effective, making it a personal AI assistant that helps automate complex tasks simply and efficiently. This saves you time and technical effort while giving you advanced AI capabilities.

https://github.com/HKUDS/AutoAgent

#typescript #examples #nextjs #vercel

Vercel offers ready-to-use templates and examples that help you quickly start web projects with best practices and optimized settings, especially for frameworks like Next.js. These templates save you time by handling setup and deployment details, letting you focus on coding. You can also contribute your own examples easily using provided commands and guidelines. Vercel automatically checks your code style and quality before commits, ensuring clean code. Plus, it integrates with Git and runs tests before deployment to catch bugs early. This makes building, deploying, and maintaining fast, reliable web apps much easier and faster for you.

https://github.com/vercel/examples