SeeAct

One-Minute Overview#

SeeAct is an intelligent web agent system that can autonomously execute tasks on any website by leveraging large multimodal models (LMMs) like GPT-4V to understand web content and make operational decisions. This system is designed for researchers and developers to test web automation capabilities and build applications that require web interaction. You should choose SeeAct if you need an AI agent capable of autonomously browsing web pages and executing complex tasks.

Core Value: Combining advanced multimodal AI capabilities with web operations to achieve true web automation task execution

Quick Start#

Installation Difficulty: Medium - Requires installing dependencies and setting up API keys

# Create environment and install
conda create -n seeact python=3.11
conda activate seeact
pip install seeact

Is this suitable for me?

• ✅ Web Task Automation: Automatically executing repetitive web tasks like data collection and form filling
• ✅ Web Function Testing: Automated testing of web functionality and applications
• ❌ Tasks requiring account login: For security reasons, direct login actions are not supported
• ❌ Tasks requiring high real-time performance: Human monitoring is required for each operation to ensure safety

Core Capabilities#

1. Multimodal Understanding - Comprehending visual and textual web content#

SeeAct can simultaneously understand both the visual content and HTML text of web pages, making more accurate decisions based on both types of information. Actual Value: Can find the correct operation targets even on complex web pages without explicit text labels

2. Flexible Execution Modes - Adapting to different use cases#

Offers demo mode, auto mode, and crawler mode to meet various needs from interactive exploration to batch execution. Actual Value: Whether for research testing or batch processing, there's an appropriate operating mode

3. Human Monitoring Mechanism - Ensuring operational safety#

Monitoring mode is enabled by default, requiring human confirmation before each operation, allowing acceptance, rejection, or manual intervention. Actual Value: Prevents the AI agent from executing potentially harmful operations and ensures tasks remain within safe boundaries

4. Multi-Model Support - Compatible with different AI models#

Supports OpenAI's GPT-4V, GPT-4-turbo, GPT-4o, as well as Google's Gemini and LLaVA models. Actual Value: Can select the most suitable model based on needs, balancing performance and cost

5. Task Dataset - Providing rich testing scenarios#

Comes with the Multimodal-Mind2Web dataset containing real tasks from various websites with corresponding web screenshots. Actual Value: No need to collect test data from scratch; system performance can be directly evaluated

Tech Stack & Integration#

Development Language: Python Key Dependencies: Playwright (browser automation), OpenAI API, Google AI API Integration Method: Python library (installable via pip)

Maintenance Status#

• Development Activity: High - The project is continuously updated with frequent additions of new features and model support
• Recent Updates: Recently added Chrome extension source code, crawler mode, SoM strategy, and other new features
• Community Response: Active - Multiple academic papers published and community support

Commercial & License#

License: OPEN RAIL (Responsible AI License)

• ✅ Commercial Use: Allowed (subject to RAIL license restrictions)
• ✅ Modification: Allowed
• ⚠️ Restrictions: Requires attribution, research use only, harmful use prohibited

Documentation & Learning Resources#

• Documentation Quality: Comprehensive
• Official Documentation: Included in the README with detailed installation and usage instructions
• Example Code: Provides basic usage and configuration examples