simular-ai/Agent-S

Features

• AI Agent Orchestrators - Integrates multimodal models to autonomously execute complex goals described in natural language.
• GUI and Computer Agents - Performs high-level interactions on interface components, including clicking buttons and setting text.
• Desktop Automation - Controls mouse and keyboard inputs to automate complex tasks across various OS applications.
• Model Provider Integrations - Implements unified interfaces to connect and configure various external and local language model providers.
• Computer Vision Localization - Translates conceptual descriptions of UI elements into precise pixel coordinates on screenshots.
• Cross-Application Workflow Automation - Automates multi-step sequences to move data between disparate desktop apps and web browsers.
• Desktop Automation Frameworks - Uses large language models to control the OS by combining accessibility tree data and visual analysis.
• Language Model Querying - Provides the core capability to send text and image prompts to LLMs to retrieve reasoning and responses.
• AI Model Integrations - Provides adapters and interfaces to connect multimodal models including chat, visual grounding, and speech-to-text.
• OCR Engines - Uses an OCR engine to identify and locate bounding boxes of text within the user interface.
• Task Planning Systems - Decomposes high-level goals into manageable subtasks using hierarchical planning and real-time knowledge.
• Vision-Language Grounding Models - Utilizes models that map natural language instructions to specific spatial coordinates on a visual user interface.
• Multimodal Agents - Processes screenshots and accessibility data using vision and language models to execute complex tasks.
• Natural Language Automation - Executes sequences of primitive actions to complete goals described in plain text.
• Application Lifecycle Managers - Locates and launches software applications and navigates to web URLs within the desktop environment.
• Desktop Applications - Manages the launching and navigation of desktop applications and web addresses.
• Keyboard Input Automation - Sends text, key commands, and raw physical key presses directly to the operating system.
• Mouse Control Automation - Simulates mouse button events to trigger clicks at specific screen coordinates across different OSs.
• Keyboard Shortcuts - Executes specific key combinations with modifiers to trigger application-level commands.
• Screen Capture Tools - Captures full-screen snapshots of the desktop, including an option to hide the cursor.
• Screen Capture Utilities - Captures the graphical user interface as base64 strings to enable visual perception for the AI agent.
• Focus Navigation Controllers - Manages window focus and visibility transitions when switching between different applications.
• Region Capture - Takes screenshots of specific coordinate-defined regions to isolate particular UI areas for analysis.
• Accessibility Tree Accessors - Deno GUI Automation retrieves the root accessibility node of the currently focused application or a specific process ID.
• Desktop Application Automation - Provides the ability to identify and retrieve handles for specific desktop applications and the default browser.
• Accessibility Tree Automation - Activates the accessibility tree of focused applications to enable programmatic inspection and interaction.
• GUI Element Localizations - Deno GUI Automation finds specific interface nodes using direct child traversal or natural-language concept searches.
• GUI Structure Inspections - Deno GUI Automation captures a snapshot of a window's accessibility tree to identify interactable components.
• Window Context Binding - Connects the agent to a target interface using foreground window handles, process IDs, or platform identifiers.
• Multimodal Desktop Observers - Implements a multimodal state observation system combining accessibility snapshots and image data.
• Desktop Application Workflows - Executes multi-step sequences across different software to move data between disparate applications.
• Accessibility-Tree-Based Locators - Traverses the system accessibility layer to locate interactive UI elements via semantic roles and names.
• User Interaction Simulation - Simulates human-like keystrokes and mouse events using a cartesian coordinate system.
• Accessibility Role Mapping - Uses standardized accessibility roles to consistently discover and identify specific interface components.
• Window Visibility Controllers - Determines whether launched applications remain visible or hidden to manage the user interface state.
• Coordinate Converters - Translates relative screen coordinates into global physical pixels to ensure precise GUI interaction.
• Semantic - Locates elements within the accessibility tree using natural-language queries and similarity scoring.
• Visual Analysis Processors - Captures structural text and imagery of the screen for processing by vision models.
• Visual Localization Tools - Identifies physical pixel coordinates of visual concepts within screenshots using grounding models.
• Process-Level Input Injectors - Simulates low-level keyboard and mouse events to interact with graphical user interfaces at the OS level.
• UI Element Selectors - Searches for interface elements using a combination of ARIA roles, traversal orders, and name filters.
• UI Inspection Tools - Retrieves global physical bounding boxes of UI elements and ensures they are scrolled into view.
• Interaction Area Definitions - Specifies rectangular regions on the screen using coordinates to identify elements for agent interaction.
• Window Management - Adjusts the size and visibility of on-screen windows through minimize, maximize, and close actions.
• Window State Controls - Modifies window states such as minimizing, maximizing, or closing application instances.
• Window Lifecycle Controllers - Controls top-level window states including minimizing, maximizing, and closing.
• Agent Capability Extensions - Provides mechanisms to integrate custom tools and capabilities to extend the agent's behavior for specific use cases.
• Audio Transcription - Converts captured audio chunks into text transcripts using integrated speech-to-text models.
• Code Execution Agents - Generates and executes native code directly to solve complex problems through system interactions.
• Coordinate Normalization Utilities - Determines whether screen coordinates are absolute pixel positions or relative percentages for visual grounding.
• Dynamic Plan Refinement - Adjusts subgoals and action sequences based on environmental feedback and new observations.
• Knowledge and Memory - Stores and retrieves successful task trajectories to refine and optimize future automation actions.
• Visual State Verifications - Evaluates whether the current screen satisfies specific conditions or contains required interface elements.
• Screen Capture Extraction - Captures screen regions and uses language models to parse visual content into structured data.
• Metadata Extraction - Retrieves specific metadata from a UI element, such as its role, title, or current value.
• Accessibility Tree Exporting - Renders a window's accessibility subtree as a structured text representation for AI analysis.
• System Clipboard Access - Reads and writes data to the system clipboard to facilitate information transfer between disparate applications.
• Display Automation Tools - Retrieves pixel dimensions and coordinates of physical screens to determine the available workspace area.
• Execution Sampling Strategies - Optimizes task success rates by running multiple attempts in parallel and sampling the best outcome.
• Web Search Integrations - Integrates external search engine APIs to retrieve real-time web information for task context.
• Image Annotation Tools - Draws reference grids over images to provide spatial coordinates for visual grounding.
• Image Processing - Performs pixel-level transformations including resizing, compression, and grid overlays for visual analysis.
• Image Compression Tools - Compresses images into JPEG format with configurable quality settings to optimize size.
• Base64 Image Decoders - Encodes images to base64 data URLs and decodes base64 strings back into image objects.
• Image Transformation Utilities - Resizes images to fit within specified bounds while maintaining the original aspect ratio.
• Cursor State Retrieval - Returns the current x and y coordinates of the mouse cursor in pixels.
• Window Handle Management - Provides the ability to retrieve handles for all visible top-level windows or specific processes.
• Error Recovery - Detects failures in GUI actions and self-corrects by adapting navigation or grounding methods.
• Success-Based Parallel Sampling - Executes multiple task attempts in parallel to select the most successful outcome.
• Execution Logs - Records and streams workflow-level execution history to facilitate real-time monitoring and debugging.
• Accessibility Inspection Tools - Analyzes the system accessibility layer to identify UI components by roles and structure.
• Focus Management - Moves keyboard focus to specific elements and manages foreground window state.
• Drag and Drop Simulations - Enables moving objects and data between different desktop applications through simulated drag-and-drop actions.
• Programmatic Scrolling - Implements programmatic vertical and horizontal scrolling using pixel deltas to navigate user interfaces.
• Agent Frameworks - Framework for agents that interact with computers.
• Agent Memory Systems - Open agentic framework for computer control using human-like interaction.
• AI Agents - GUI agent capable of multi-app collaboration and self-learning.
• AI Agents and Automation - Open agentic framework that autonomously interacts with computer GUIs like a human.
• Computer Use - Framework for human-like computer interaction.

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