Projects sharing features with Pixel Agents

vue-grid-layout is a draggable and resizable grid system for Vue.js that enables users to customize the placement and size of interface elements. It functions as a dynamic widget orchestrator and a state-persistent layout manager, allowing for the creation of customizable dashboard interfaces where components can be arranged and sized according to user preference. The system operates as a responsive dashboard framework that automatically adapts grid arrangements based on viewport size and supports right-to-left text directions. It provides the ability to capture and serialize grid positions a

React Grid Layout is a toolkit for building draggable, resizable, and responsive dashboard interfaces. It functions as a coordinate-based grid system that reconciles component positions and dimensions through declarative metadata, allowing developers to manage complex collections of UI elements that users can interact with directly. The library distinguishes itself through an automated packing algorithm that maintains structural integrity by shifting elements to fill gaps and resolving overlaps. It supports responsive design by monitoring container width changes against pre-defined breakpoint

jcode is a framework for developing autonomous AI coding agents that automate software development tasks. It functions as an agent orchestrator, tool runtime, and semantic memory engine, enabling the creation of agents that can modify code, run tests, and iterate on their own functionality. The project is distinguished by its use of recursive agent swarming, where a hierarchy of collaborating agents can spawn child agents to decompose complex tasks. It implements a semantic memory system that combines vector-based retrieval with graph-based relationship mapping to maintain context across sess

Openwork is an AI agent for desktop automation that uses large language models to execute browser tasks, manage local files, and automate desktop workflows. It operates on a local-first execution model, translating natural language prompts into sequences of tool calls to perform digital chores. The system functions as a framework for defining and saving repeatable sequences of actions as reusable skills. It integrates large language models with third-party services and local APIs to synchronize data and share files. The agent includes capabilities for headless browser automation to conduct r

Claude Squad is a terminal-based orchestrator for running multiple AI coding assistants in parallel. It manages the lifecycle of AI agent sessions from a single keyboard-driven interface, allowing users to launch, monitor, pause, resume, and terminate agents without leaving the command line. The tool isolates each agent's work in separate git worktrees, so changes remain on independent branches and never interfere with each other. Before any modifications are committed or pushed, users can review a diff preview of what each agent produced and approve or reject the changes. This diff-based app

Claude Code is a command-line interface and multi-agent orchestration framework designed for autonomous software engineering. It enables AI agents to perform codebase modifications, debugging, and Git workflow management while coordinating multiple specialized agents to decompose and execute complex engineering tasks in parallel. The system distinguishes itself through a high degree of isolation and safety, utilizing Git worktrees to create independent working directories for concurrent agents and implementing a tiered permission system that combines user rules, project policies, and OS-level

Claudecodeui is an open-source web interface that orchestrates multiple AI coding agents from different providers—including Claude Code, Cursor CLI, Codex, and Gemini CLI—side by side in isolated cloud environments. It functions as a multi-provider orchestration platform, allowing users to run agents from different tools within the same workspace without being locked into a single vendor. The platform runs each agent session inside a hypervisor-level Docker sandbox that isolates filesystem, network, and process access, with sessions persisting in the cloud to survive network disconnection or

Agent-S is a multimodal AI agent and LLM desktop automation framework designed to control operating systems through graphical user interface interactions. It functions as a computer use interface, utilizing vision-language grounding to translate natural language goals into precise screen coordinates and system actions. The project differentiates itself by combining structured accessibility tree inspection with vision-based element localization. It manages cross-application workflows by mapping conceptual descriptions to physical pixels and simulating low-level keyboard and mouse events to mov

This project is a Rust-based AI agent framework and tool orchestrator that provides a command-line interface for interacting with large language models. It functions as an AI tool orchestrator that routes client requests to language servers and manages the planning and handoffs between specialized agents to solve complex tasks. The system distinguishes itself as a language porting validator, using deterministic mocks and specifications to verify feature parity between different language implementations of a codebase. It further extends agent capabilities by acting as a Model Context Protocol

Open-computer-use is a framework designed to connect vision-capable language models to isolated cloud-based desktop environments. It functions as an agentic interface that enables autonomous systems to interact with graphical user interfaces by simulating mouse movements, keyboard keystrokes, and shell commands. By bridging language models with remote workspaces, the platform facilitates the execution of complex, long-running tasks within secure, sandboxed environments. The platform distinguishes itself through its ability to orchestrate thousands of concurrent, isolated instances, making it

Este is an isomorphic web framework designed for rendering applications on both the server and client with shared state and routing. It functions as a remote session management dashboard, providing a centralized interface to control remote agent sessions through command delivery and prompt approval. The framework includes a role-based access control system that protects interface components by wrapping sensitive elements in an authorization layer. It also features a remote session management system that monitors agent urgency and prioritizes sessions requiring immediate user input. Additiona

This project is a desktop automation scripting framework and shell script command runner. It allows users to execute custom scripts and workflows from a central launcher to automate repetitive desktop tasks and system operations. The framework functions as a unified command interface and a JSON input automation bridge, serializing search queries into arguments passed to the execution environment. It integrates large language model prompts directly into the desktop interface to automate content generation and answer questions. The system handles a broad range of capabilities including the exe

Bytebot is an LLM desktop automation framework and virtual Linux desktop environment. It enables AI agents to plan and execute mouse and keyboard actions on a virtual computer using natural language, allowing for autonomous desktop automation and the integration of legacy systems that lack native APIs. The system operates as an LLM API gateway and a Model Context Protocol server, routing requests across multiple language model providers with integrated load balancing and rate limiting. It provides isolated, containerized environments where agents use visual reasoning to interpret screenshots

Kit is a desktop automation framework and scriptable UI toolkit designed for building personalized productivity tools. It serves as a cross-platform CLI wrapper and macOS system automator, providing an environment to execute scripts that manage operating system tasks, file management, and application workflows. The project distinguishes itself with a dedicated LLM integration layer for structured data extraction and text generation, alongside a specialized UI framework for creating interactive input forms, HTML windows, and floating widgets. It features deep macOS integration through AppleScr

Hammerspoon is a programmable automation engine for macOS that enables deep system-level control through a Lua scripting environment. By bridging high-level scripts with native Objective-C APIs, it allows users to interact with the operating system's accessibility tree, intercept hardware input streams, and manage the lifecycle of running applications. The project distinguishes itself through an event-driven architecture that registers asynchronous hooks for system notifications and hardware events. This allows for real-time automation, such as remapping keyboard and mouse inputs, managing wi

Robotgo is a cross-platform desktop automation framework for the Go programming language. It provides a comprehensive toolkit for programmatically interacting with graphical user interfaces, enabling developers to simulate human input, manage application windows, and monitor system-wide hardware events. The library distinguishes itself through its low-level system integration, utilizing a foreign function interface to interact directly with native operating system APIs. It employs pixel-buffer memory mapping and real-time screen capture to perform visual element identification, allowing for i

UI-TARS-desktop is a cross-platform desktop application designed to automate software interface interactions. It functions as a local agent environment that interprets graphical user interfaces through multimodal visual-language model reasoning, allowing it to navigate and manipulate software by simulating human-like mouse and keyboard inputs. The platform distinguishes itself by executing all visual recognition and decision-making logic directly on the host machine. This local inference model ensures that screen data and sensitive information remain private, as no processing is offloaded to

Yabai is a system-level utility for macOS that provides automated window management and workspace organization. It functions as a tiling window manager that uses binary space partitioning to arrange application windows into grid layouts, bypassing standard desktop constraints through direct interaction with the system window server. The project distinguishes itself by offering granular control over the graphical user interface via a socket-based command interface and event-driven system hooks. This allows for the programmatic manipulation of window states, display configurations, and virtual

UI-TARS is an LLM GUI automation framework and multimodal action grounding system. It functions as a GUI agent orchestrator and cross-platform device controller that uses large language models to interpret graphical interfaces and execute actions across desktop and mobile operating systems. The system translates model-generated coordinates into precise screen positions to interact with visual user interface elements. It employs a multimodal approach to interpret screen layouts and decomposes complex goals into multi-step trajectories through reasoning and error correction. The project provid

Claude-hud is a heads-up display for monitoring AI agent activity, LLM session metrics, and project environment states. It provides a real-time visual interface to track token usage, context window health, API rate limits, and the activity of active sub-agents and tools. The project distinguishes itself by parsing session transcripts to extract task progress and tool execution status, converting todo lists into visual completion counters. It also includes a project configuration auditor that visualizes the number of active rules, hooks, and servers defined in the environment. Beyond agent ob

Edict is a multi-agent orchestration system and framework designed to coordinate specialized large language model agents. It functions as a workflow designer and orchestrator that decomposes complex objectives into structured plans, using directed acyclic graphs and role-based hierarchies to execute sub-tasks. The system is distinguished by its event-driven architecture, utilizing a publish-subscribe event bus and transactional outbox to manage agent communications and task transitions. It features a dedicated skill management system that allows for the importation, updating, and sandboxed ex

container-use is a containerized AI execution environment and code sandbox designed to provide a secure space for AI coding agents to execute commands and build applications. It functions as a workspace orchestrator that provisions isolated containers mapped to git branches, allowing multiple agents to operate in parallel without state conflicts or affecting the host system. The project serves as a Model Context Protocol server, bridging AI agents to containerized environments for standardized tool access. It enables a workflow for reviewing and merging changes made by agents within these iso

AutoKey is a Linux GUI macro manager and Python desktop automation tool. It functions as a background daemon that simulates keyboard and mouse events via the X11 protocol to automate interactions with graphical user interfaces. The software provides a Python scripting engine for executing stateful automation and a text expansion utility that replaces short abbreviations with predefined content or scripted actions in real time. It differentiates itself by combining low-level input simulation with the ability to manage global state and persistent variables across different scripts. The project

gptme is an autonomous AI agent server and framework designed for local system automation, software development, and code execution. It operates as a local execution engine that enables language models to run shell commands, modify local files, and interact with the operating system. The project functions as a Model Context Protocol client, integrating with external servers to expand agent capabilities with standardized tools and data sources. It features a provider-agnostic routing system to orchestrate tasks across multiple proprietary cloud APIs and local AI backends. The system includes

react-big-calendar is a programmable grid component for React applications used to render professional calendars and interactive scheduling interfaces. It provides a visual system for managing and visualizing appointments and events through daily, weekly, and monthly grid views. The component is designed to be localizable and themeable, allowing for customized event visualization and date formats that match specific linguistic and cultural preferences. It utilizes a date-library agnostic interface, decoupling core logic from specific time-handling libraries via an adapter layer. The project

Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to create interactive 2D and 3D visualizations. It functions as a reactive visualization framework where plots update automatically via observables and compute graphs, and as a vector graphics generator for high-resolution academic output. The system is distinguished by its backend-agnostic rendering pipeline, which supports OpenGL, WebGL, and ray-traced scenes. It employs a grammar-of-graphics approach to map variables to aesthetic attributes and utilizes a hierarchical scene graph t

FTXUI is a C++ terminal user interface library and cross-platform console framework used for building interactive command line applications. It functions as a declarative terminal layout engine and a component-based UI toolkit that enables the creation of responsive interfaces. The library is distinguished by its terminal graphics and animation capabilities, allowing for the rendering of custom shapes, data plots, and smooth visual transitions using easing functions. It provides a comprehensive set of interactive widgets and a layout system utilizing flexbox and grid containers that adapt to