Prometheus Swarm is a system of decentralized, autonomous AI agents running on the Koii network. It provides a powerful framework for building, testing, and deploying AI-powered applications

Core Components

1. Prometheus Swarm

The main framework that orchestrates autonomous AI agents, providing:

• Multi-model AI integration (Claude, GPT-4, Gemini)
• Workflow management
• Database integration
• Type-safe development

Learn more about Prometheus Swarm →

2. Prometheus Test

A comprehensive testing framework for Prometheus tasks, offering:

• Structured test organization
• Worker management
• MongoDB integration
• Signature generation utilities

Learn more about Prometheus Test →

Specialized Agents

Feature Builder Agent

An AI agent specialized in code generation and project management:

• Project initialization and setup
• Feature implementation
• Documentation generation
• Testing infrastructure

Learn more about the Feature Builder →

Bug Finder Agent

Advanced bug detection and analysis capabilities:

• Automated bug detection
• Security vulnerability scanning
• Performance analysis
• Interactive debugging

Learn more about the Bug Finder →

Documentation Agent

Automated documentation generation and maintenance:

• Code documentation
• API documentation
• User guides
• Documentation testing

Learn more about the Documentation Agent →

Getting Started

1. Installation

   # Install the main framework
   pip install prometheus-swarm
   
   # Install the testing framework
   pip install prometheus-test
   

2. Basic Usage

   from prometheus_swarm.clients import AnthropicClient
   from prometheus_swarm.workflows import BaseWorkflow
   
   # Initialize a client
   client = AnthropicClient()
   
   # Create a workflow
   workflow = BaseWorkflow(config)
   result = workflow.run()
   

3. Next Steps

   • Explore the documentation
   • Try out the examples
   • Join our community

Key Features

• Decentralized Architecture: Run AI agents across the Koii network
• Multi-Model Support: Use multiple AI models in your applications
• Workflow Management: Define and manage complex AI workflows
• Testing Framework: Comprehensive testing tools for AI tasks
• Specialized Agents: Purpose-built agents for specific tasks
• Type Safety: Strong typing support for reliable development

Use Cases

• Development Automation: Automate code generation and testing
• Quality Assurance: Automated bug detection and fixes
• Documentation: Automated documentation generation and maintenance
• API Development: Build and test APIs with AI assistance
• Security Analysis: Identify and fix security vulnerabilities