Proteus Workflow Engine
一个强大的、可扩展的多智能体工作流引擎，支持Multi-Agent系统、auto-workflow、MCP-SERVER接入等功能，支持多种工具和资源，提供智能代理和自动化服务执行。
Overview
What is Proteus Workflow Engine?
Proteus Workflow Engine is a powerful and scalable multi-agent workflow engine that supports Multi-Agent systems, auto-workflow, and MCP-SERVER integration, providing intelligent agents and automated service execution.
How to use Proteus Workflow Engine?
To use Proteus, clone the project from GitHub, set up a Python environment, install dependencies, configure environment variables, and start the service either locally or using Docker.
Key features of Proteus Workflow Engine?
- High-performance API service based on FastAPI
- Built-in intelligent agent system with Chain-of-Thought reasoning
- Support for over 20 types of built-in nodes
- Real-time execution status monitoring
- Web visualization interface for workflows and agents
- Docker support for containerized deployment
- MCP (Model Context Protocol) support for external tools and resources
Use cases of Proteus Workflow Engine?
- Automating complex workflows in various applications.
- Integrating multiple tools and resources for enhanced functionality.
- Supporting research tasks with intelligent agents.
FAQ from Proteus Workflow Engine?
- Can Proteus handle all types of workflows?
Yes! Proteus is designed to support a wide range of workflows and can be customized to fit specific needs.
- Is Proteus free to use?
Yes! Proteus is open-source and free to use for everyone.
- How can I contribute to Proteus?
Contributions are welcome! You can submit issues and pull requests on the GitHub repository.
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