browser-use/workflow-use

Features

• AI Browser Automation Tools - Combines large language models with browser control to translate natural language instructions into complex web workflows.
• AI-Driven Browser Controllers - Commands an AI agent to operate a web browser and execute natural language tasks with real-time visual feedback.
• RPA Workflows - Orchestrates web-based RPA workflows by combining agentic reasoning with deterministic interaction sequences.
• Agentic Browser Interfaces - Serves as a control layer that exposes browser automation capabilities to AI agents via remote debugging protocols.
• AI Agent Tool Integrations - Connects language model agents to standardized browser-control functions and external APIs for functional task execution.
• Cloud Browser Agent Execution - Executes natural language tasks using AI agents connected to cloud-hosted browser instances.
• LLM Provider Integrations - Provides the necessary connectivity and authentication adapters to link the framework with various large language model providers.
• Browser Interaction Mappings - Translates natural language instructions into specific browser-level actions and element interactions using LLMs as the reasoning engine.
• Model-Less Automation Executions - Runs previously recorded automation sequences using semantic mapping on cloud browsers to avoid expensive model calls.
• Natural Language Automation - Translates natural language instructions into executable sequences of browser primitives to perform complex web workflows.
• Web Task Automations - Records and replays deterministic browser sequences to automate repetitive web-based tasks.
• Automation Sequence Replays - Allows recording of browser interactions to replay tasks deterministically, reducing latency and API costs.
• Stealth Headless Instance Management - Manages headless browser instances with built-in anti-detection, residential proxies, and CAPTCHA solving.
• Bot Detection Bypass - Uses modified browser engines and residential proxies to mimic human behavior and bypass bot detection systems.
• Persistent Session Managers - Maintains persistent authentication states by storing cookies and passwords across multiple automated browser sessions.
• Browser Session Attachments - Attaches to existing running browser instances via remote debugging to preserve active tabs and authenticated sessions.
• Browser Debugging Protocols - Utilizes remote debugging protocols to attach to browser instances, allowing precise programmatic control and session preservation.
• LLM-Driven Frameworks - Provides a framework that uses LLMs to determine and execute browser interaction sequences from natural language.
• Stealth Configurations - Modifies browser fingerprints and uses residential proxies to evade bot detection and automated access restrictions.
• Session Profile Isolations - Manages distinct browser user profiles to isolate and persist cookies, authentication sessions, and local storage.
• Headless Browser Orchestrators - Orchestrates isolated headless browser instances with persistent profiles and stealth configurations.
• Natural Language Workflow Generators - Generates structured automation workflows from natural language goals by recording the steps of an initial execution.
• Coding Agent Integrations - Establishes a standardized setup for language model agents to discover and execute browser-control functions as skills.
• Human-in-the-loop Controls - Provides mechanisms to pause autonomous execution for manual human intervention, such as handling MFA or payments.
• Workflow Automation - Executes previously recorded browser automations using predefined variables or natural language prompts for repetitive tasks.
• Structured Data Extraction - Parses unstructured web content into typed schemas for consistent data output and external tool integration.
• Web Data Extraction Tools - Executes automated browser tasks to extract and structure information from web pages into usable data formats.
• Steerable Task Sessions - Supports interactive steering and resumable sessions through a terminal or code interface during automation execution.
• Third-Party Workflow Triggers - Allows AI models to initiate complex automation tasks via remote servers, webhooks, and HTTP endpoints.
• Persistent Cloud Sessions - Launches isolated remote browsers with support for persistent profiles and session maintenance.
• Managed Agent Sandboxes - Runs agents and browsers in managed hosted environments that handle authentication and session persistence.
• Automated Captcha Solvers - Integrates with external services to resolve CAPTCHAs and bypass bot detection during automated web navigation.
• Workflow Visualizers - Offers a graphical interface to visualize automation workflows as interactive graphs with real-time execution logs.
• Browser Session Monitoring - Provides live views, recordings, and status messages to monitor agent activity during browser sessions.
• Graph-Based Workflow Orchestrators - Implements a graph-based architecture to represent automation sequences as interactive nodes and edges for visual monitoring.
• Replayable Interaction Recorders - Captures browser interaction sequences into static files for deterministic replay without needing real-time LLM inference.
• Browser Infrastructure - Provides hosted environments for executing browser-based tasks, eliminating the need for local browser binaries.
• Remote Browser Controllers - Manages remote browser instances via standardized messaging protocols to adjust session parameters without an AI agent.
• Browser Control APIs - Provides programmatic control over browser instances via debugging protocols for direct session manipulation.
• Managed Browser Environments - Provides managed browser environments with isolated profiles and domain allow-lists to define operational boundaries for agents.
• Browser Session Recorders - Captures live browser interactions and DOM states to create reusable, deterministic automation files.

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