Rowboat - AI-Powered Multi-Agent Builder
Overview
Rowboat is an open-source, AI-powered multi-agent builder developed by RowBoat Labs, designed to provide developers with the fastest way to build multi-agent systems. Built on OpenAI's Agents SDK, it empowers developers to easily create, deploy, and manage complex agent workflows through an intuitive interface and powerful API.
Core Features and Capabilities
🚀 Rapid Construction
- AI-Assisted Building: Start with an idea, and the AI co-pilot automatically constructs multi-agent workflows.
- Natural Language Description: For example, "Build an assistant for a food delivery company to handle delivery status and lost items, including the necessary tools."
- Out-of-the-Box: Rapid Docker-based deployment, up and running in minutes.
🌐 MCP Server Integration
- Flexible Connectivity: Supports connecting to various MCP (Model Context Protocol) servers.
- Tool Import: Add MCP servers in settings to directly import tools into Rowboat.
- Highly Extensible: Easily expand the functionality and capabilities of agents.
📞 Diverse Integration Methods
- HTTP API: Full RESTful API support for easy integration with any application.
- Python SDK: Official Python SDK for a more developer-friendly experience.
- API Key Management: Obtain Project ID and generated API keys from settings.
🔧 Technical Architecture
- OpenAI Agents SDK: Built on the latest OpenAI Agents SDK.
- Multi-LLM Support: Supports custom LLM providers such as OpenRouter and LiteLLM.
- Docker Containerization: Complete Docker Compose configuration for easy deployment and maintenance.
Quick Start
Environment Setup
# Set OpenAI API Key
export OPENAI_API_KEY=your-openai-api-key
# Clone the repository
git clone git@github.com:rowboatlabs/rowboat.git
cd rowboat
# Start Docker services
docker-compose up --build
Access the Application
Once started successfully, access http://localhost:3000 in your browser to begin using the application.
Integration Methods
HTTP API Integration
curl --location 'http://localhost:3000/api/v1/<PROJECT_ID>/chat' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <API_KEY>' \
--data '{
"messages": [
{
"role": "user",
"content": "tell me the weather in london in metric units"
}
],
"state": null
}'
Python SDK Integration
from rowboat import Client, StatefulChat
from rowboat.schema import UserMessage, SystemMessage
# Initialize the client
client = Client(
host="http://localhost:3000",
project_id="<PROJECT_ID>",
api_key="<API_KEY>"
)
# Create a stateful chat session (recommended)
chat = StatefulChat(client)
response = chat.run("What's the weather in London?")
print(response)
# Or use the underlying client API
messages = [
SystemMessage(role='system', content="You are a helpful assistant"),
UserMessage(role='user', content="Hello, how are you?")
]
response = client.chat(messages=messages)
print(response.messages[-1].content)
Use Cases
Enterprise Applications
- Customer Service: Build intelligent customer service systems to handle complex customer inquiries.
- Business Process Automation: Create multi-agent collaborative business processes.
- Data Analysis Assistant: Build a team of intelligent agents capable of analyzing and processing complex data.
Developer Tools
- Code Assistant: Create specialized programming assistant agents.
- Test Automation: Build automated testing agent systems.
- Documentation Generation: Intelligent documentation generation and maintenance systems.
Innovative Projects
- Research Assistance: Multi-agent systems for academic research and data analysis.
- Content Creation: Multi-agent collaborative content creation platform.
- Educational Applications: Personalized learning and teaching assistance systems.
Technical Advantages
Development Efficiency
- Low-Code/No-Code: Quickly build agents through natural language descriptions.
- Modular Design: Component-based agent construction approach.
- Rapid Iteration: Supports rapid testing and deployment of agents.
Scalability
- Microservices Architecture: Container-based microservices design.
- Plugin System: Extend functionality through MCP servers.
- API-First: Full API support for easy integration.
Community Support
- Open Source Project: Completely open source, community-driven development.
- Active Community: Discord community support and communication.
- Comprehensive Documentation: Detailed documentation and tutorial support.
Resource Links
Summary
Rowboat represents a new direction in multi-agent system development, significantly lowering the barrier to entry for building complex agent systems through AI assistance. Its architecture based on the OpenAI Agents SDK ensures the system's advancement and reliability, while its rich integration options and extensibility allow it to adapt to various business scenarios.
Whether for enterprise applications or personal projects, Rowboat provides a powerful and flexible platform to realize the vision of multi-agent collaboration. Through its intuitive interface and powerful API, developers can focus on implementing business logic, while leaving complex agent management to Rowboat.
As AI technology continues to evolve, tools like Rowboat will play a crucial role in driving the large-scale deployment and popularization of AI applications.