A multi-agent collaboration framework for task automation that supports dynamic agent interactions, browser automation via Playwright, and a web-based interface. It is built on the CAMEL-AI framework and requires model API configuration and coding experience.
Project overview
The project was accepted by NeurIPS 2025 and involves dynamic agent interactions for real-world task automation.
Project type
AI Agent
Use cases
Automation
Deployment
Refer to project documentation
License
License pending
Best for
Audiences who need to build systems requiring dynamic multi-agent collaboration and tool calling.
Key capabilities
Enables task automation by leveraging dynamic agent interactions across diverse domains.
Utilizes Playwright framework for simulating browser interactions, including scrolling, clicking, input handling, downloading, and navigation.
A web-based user interface that makes it easier to interact with the system, featuring interactive chat, model selection, and task history.
Limitations and risks
The framework requires Python version 3.10, 3.11, or 3.12.
Requires models with robust tool calling capabilities. It also requires multimodal capabilities for tasks involving web interaction, image analysis, or video processing.
Getting started
Setup is considered medium difficulty, requiring Python environment setup and setting environment variables for model API keys. The first success path involves cloning the repository, creating and activating a virtual environment, installing dependencies, and running examples.
Alternatives and comparisons
High-level abstractions and low-level APIs for building production-ready multi-agent workflows with autonomous agent collaboration and event-driven control.