The `ascii-logo-generator` is a command-line tool that creates ASCII art text and converts it into SVG logos. Users can customize fonts, colors, dimensions, and save the output as text or SVG files. It's particularly useful for generating logos for laser cutting. The project is open-source and includes a web-based SVG viewer for testing.
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A Model Context Protocol (MCP) server, Digitone MCP, enables Claude and other MCP-compatible LLMs to interact with and control Elektron Digitone synthesizers via MIDI. Currently, only the Wavetone machine is supported, but more will be added soon. The project uses Python 3.10+, requiring the `uv` package and the Claude Desktop app for full integration. By configuring the MCP server in `claude_desktop_config.json`, Claude can control the Digitone in real-time, enabling AI-assisted music creation. The library features a clean, object-oriented architecture with base controllers, specialized controllers, MCP tools, and a MIDI interface, utilizing FastMCP, Pydantic models, and mido for efficiency and reliability.
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Dish is a minimalist Go-based, one-shot monitoring service designed for quick testing of HTTP/S and generic TCP endpoints. It supports loading target lists from local JSON files or remote JSON APIs and offers various alerting methods, including Telegram notifications, Prometheus Pushgateway updates, and webhook callbacks. Users can configure it flexibly via command-line arguments, including custom headers. Dish boasts zero dependencies and easy deployment, whether through building a binary or using a Docker image, making it ideal for rapidly setting up a monitoring system.
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xorq is a deferred computation framework bringing the reproducibility and performance of declarative pipelines to the Python ML ecosystem. It lets you write pandas-style transformations that never run out of memory, automatically caches intermediate results, and seamlessly moves between SQL engines and Python UDFs—all while maintaining reproducibility. Built on Ibis and DataFusion, xorq features declarative expressions, multi-engine support, built-in caching, serializable pipelines, portable UDFs, and an Arrow-native architecture. It offers both an interactive library and a CLI for a smooth transition from exploratory research to production-ready artifacts.
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Inko is a new programming language designed for building concurrent software with confidence. It simplifies concurrent software development by offering deterministic automatic memory management, move semantics, static typing, type-safe concurrency, and efficient error handling, eliminating unpredictable performance, runtime errors, and race conditions. Inko compiles to LLVM machine code. Examples showcase a simple "Hello, world!" and a concurrent factorial calculation. Visit the Inko website for more information and installation instructions.
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Stoffel Virtual Machine is a work-in-progress virtual machine designed for optimizing multi-party computation (MPC). Currently, it boasts basic functionality, supporting various data types (integers, booleans, strings, objects, arrays, etc.) and a rich instruction set including arithmetic, bitwise operations, control flow, and function calls. It also supports Rust FFI for easy integration of high-performance features. Future plans include adding MPC support and garbage collection.
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Rivulet is a novel programming language that uses semigraphic characters representing 'strands' to write code. Programs consist of tightly packed code blocks called glyphs, each containing several types of strands that execute together. Rivulet avoids traditional control flow mechanisms, instead using a rollback mechanism to implement conditional branching and loops. Data is organized as lists, and commands operate on single cells or entire lists. While its syntax may seem complex at first glance, it's actually quite easy to learn.
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The Rost project lets you write Rust programs in German, using German keywords, function names, and idioms. It's fully compatible with English Rust, allowing you to mix and match. This fun project invites contributions to expand its capabilities.
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The Playwright Model Context Protocol (MCP) server provides browser automation capabilities for LLMs using Playwright. It allows LLMs to interact with web pages through structured accessibility snapshots, eliminating the need for screenshots or visually-tuned models. It's fast, lightweight, and LLM-friendly, using Playwright's accessibility tree rather than pixel-based input. Features include web navigation, form filling, data extraction, and automated testing. Supports headless and headed modes. Installation is straightforward via VS Code CLI.
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ghidraMCP is a Model Context Protocol (MCP) server enabling Large Language Models (LLMs) to autonomously reverse engineer applications. It exposes a wealth of tools from Ghidra's core functionality to MCP clients. Key features include decompilation and analysis of binaries within Ghidra, automated method and data renaming, and listing methods, classes, imports, and exports. Installation is straightforward, involving downloading the plugin and importing it into Ghidra. Support for multiple MCP clients, including Claude Desktop and 5ire, is provided.
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A project called Windows 7 Service Pack 2 aims to revitalize older Windows 7 systems with updates and enhancements. Currently unfinished, it only supports 64-bit systems and excludes ESU updates and custom GPU drivers. Installation requires careful attention; improper steps may brick your system. Currently, ISO images are available for clean installs, with an in-place installer planned for later. The team emphasizes limited RAID/Intel RST support and no 32-bit support.
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This blog post sings the praises of the CSV format, refuting claims that it's becoming obsolete. It highlights CSV's simplicity and ease of use, readability and editability without specialized software. Its open nature, appendability, and dynamic typing make it advantageous in many scenarios, especially when dealing with large datasets. CSV's row-by-row reading capability and low memory footprint make it shine. Furthermore, its reverse-readability makes it ideal for efficiently resuming interrupted processes.
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Ratomic provides mutable data structures for Ruby's Ractors, allowing Ruby code to scale beyond the Global VM Lock (GVL). This early-stage project seeks contributors with Rust and Ruby C extension experience. Ratomic offers Ractor-safe structures like counters, object pools, maps, and queues, designed as class-level constants for sharing among multiple Ractors. The project is licensed under MIT.
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Dapr Agents is a developer framework for building production-grade, resilient AI agent systems that operate at scale. Built on the battle-tested Dapr project, it enables developers to create AI agents that reason, act, and collaborate using Large Language Models (LLMs). Built-in observability and stateful workflow execution ensure agentic workflows complete successfully, regardless of complexity. Key features include efficient multi-agent execution, automatic retry mechanisms, Kubernetes native deployment, diverse data source integration, secure multi-agent collaboration, platform readiness, cost-effectiveness, and vendor neutrality.
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Cocommit is a command-line tool that uses your chosen LLM to improve your Git commit quality. It analyzes your last commit message and suggests improvements, highlighting strengths and weaknesses. Cocommit supports various LLMs, including OpenAI and Amazon Bedrock's Claude 3.7, abstracting away the underlying models via LangChain. Easy to install and use, it allows customization of the LLM experience, making it a great tool for developers to improve their code style.
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This article lists various limitations encountered when applying suggestions during GitHub code review. These include restrictions on applying suggestions to only single commits, inability to apply to pull requests with no code changes, closed or queued pull requests, resolved or deleted suggestions, and more. These limitations aim to maintain the integrity of the codebase and the efficiency of the review process.
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Jakt is a new memory-safe systems programming language currently transpiling to C++. It employs strategies like automatic reference counting, strong typing, and bounds checking to ensure memory safety, avoiding raw pointers. Jakt emphasizes code readability with a flexible module system and clean syntax. It supports structs, classes, enums, pattern matching, generics, operator overloading, and exception handling, along with powerful compile-time features such as compile-time function execution. While still under development, Jakt aims to balance performance, safety, and developer productivity.
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Facebook Research introduces VGGT (Visual Geometry Grounded Transformer), a feed-forward neural network capable of inferring all key 3D attributes of a scene—extrinsic and intrinsic camera parameters, point maps, depth maps, and 3D point tracks—from one, a few, or hundreds of views in mere seconds. This user-friendly model, leveraging the power of Transformers, offers an interactive 3D visualization tool. Surprisingly, VGGT demonstrates impressive single-view reconstruction capabilities, achieving competitive results compared to state-of-the-art monocular methods, despite not being explicitly trained for this task.
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Hann is a high-performance approximate nearest neighbor search (ANN) library for Go. It offers various index data structures (HNSW, PQIVF, RPT) for efficient similarity searches in high-dimensional spaces, acting as a core component for vector databases. Boost your Go applications with fast in-memory similarity search capabilities. Supports multiple distance computations (Euclidean, Manhattan, cosine), index saving and loading, and bulk operations.
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Triforce implements a Minimum Variance Distortionless Response adaptive beamformer for Apple Silicon MacBook microphones. Apple's microphone arrays (triangle or linear) are overly sensitive and omnidirectional, requiring beamforming to isolate desired signals and reduce background noise. This project aims to provide an accessible beamformer, potentially less performant than Apple's implementation, but with minimal dependencies and open to community contributions.
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Vibe-Eyes is an innovative MCP server enabling Large Language Models (LLMs) to 'see' what's happening in browser-based games and applications. It uses a client-server architecture: a lightweight browser client captures canvas content and debug info, sending it via WebSockets to a Node.js server. The server vectorizes images into compact SVGs, making them available to LLMs via the Model Context Protocol (MCP). This allows LLMs to 'see' the application and provide context-rich debugging assistance, significantly enhancing 'vibe coding' efficiency.
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MRubyD is a new mruby virtual machine implemented in pure C#, designed for seamless integration with C#-based game engines. Leveraging modern C# features, it boasts high performance and extensibility, prioritizing Ruby API compatibility. Currently in preview, some features like built-in types and methods, as well as private/protected visibility, are under development. Install via `dotnet add package MRubyD` and explore its capabilities through the provided examples. It requires the native mruby compiler for compiling .rb source code into .mrb bytecode.
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A flexible authorization library combining role-based (RBAC), attribute-based (ABAC), and relationship-based (ReBAC) access control policies. It supports policy composition (AND, OR, NOT), detailed evaluation tracing, and a fluent builder API, with type safety and async support. Easily add multiple policies like RBAC and ABAC, and create custom policies using PolicyBuilder. Examples demonstrate RBAC, ReBAC, and policy combinators.
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Lilly is a text editor under development, aiming to be a lightweight alternative to Vim and Neovim. It focuses on core functionality, eliminating the complex Lua plugin ecosystem for a simpler, more accessible user experience. A pre-alpha release is available, and testing shows zero memory leaks. Contributions and feedback are welcome.
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PicoRuby is a lightweight mruby implementation with a small footprint: 256KB ROM and under 128KB RAM (32-bit architecture). Highly portable, it depends only on standard C libraries and supports microcontrollers like the Raspberry Pi Pico. Still under development, it provides API documentation, demo videos, and build tools. The `rake` command builds three executables: `picorbc` (compiles Ruby to mruby VM code), `picoruby` (executes Ruby code directly), and `r2p2` (for specific use). Developed by HASUMI Hitoshi and Monstarlab with funding from the Ruby Association.
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Autology, a functional Lisp interpreter written in Clojure, offers a unique approach to metaprogramming by providing access to its own interpreter. By rebinding the variable *i* (which points to the interpreter function), programs can dynamically alter Autology's syntax and behavior at runtime. This allows for adding functions, changing evaluation strategies, and more. While not particularly performant, Autology provides a fascinating exploration of Lisp metaprogramming and runtime language modification.
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OSGInt is a powerful command-line tool that retrieves GitHub user information using either a username or email address. It fetches basic details like username, avatar, bio, and digs deeper to uncover email addresses and GPG keys. OSGInt uses multiple methods, including analyzing public commits, GPG keys, and the GitHub user API. Inspired by the Zen project, it's under active development, with features like spoofing commits to get email addresses in the works.
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This post shares the source code of the earliest known versions of the C compiler, written by the late legend Dennis Ritchie. These are not compilable with modern C compilers like GCC, but represent the spark that ignited a soon-to-be trillion-dollar industry. Links to Aiju's PDP-11/Unix emulator (for attempting compilation) and the Research Unix repository are provided for those wishing to delve into the history of computing.
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The beeFormer project introduces a novel approach to recommender systems designed to tackle the cold-start problem. It leverages language models to learn user behavior patterns from interaction data and transfer this knowledge to unseen items. Unlike traditional content-based filtering which relies on item attributes, beeFormer learns user interaction patterns to better recommend items aligned with user interests, even with no prior interaction data. Experiments demonstrate significant performance improvements. The project provides detailed training steps and pre-trained models, supporting datasets such as MovieLens, GoodBooks, and Amazon Books.
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LangManus is a community-driven open-source AI automation framework that integrates language models with tools for web search, crawling, and Python code execution. Developed by former colleagues in their spare time, this project aims to explore multi-agent and deep research, participating in the GAIA leaderboard. LangManus employs a hierarchical multi-agent system with roles such as Coordinator, Planner, Supervisor, Researcher, Coder, Browser, and Reporter, supporting various LLM integrations including Qwen and OpenAI-compatible models. The project is open-sourced under the MIT license and welcomes community contributions.
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