In-Memory Storage

In-memory storage is the default storage option for the Multi-Agent Orchestrator System. It provides a quick and efficient way to store conversation history, making it ideal for development, testing, or scenarios where long-term persistence is not required.

Features

Fast read and write operations
No additional setup or external dependencies
Perfect for local development and testing environments

When to Use In-Memory Storage

During development and testing phases
For applications with short-lived sessions
When persistence across application restarts is not necessary

Implementation

To use in-memory storage in your Multi-Agent Orchestrator:

TypeScript
Python

import { MemoryStorage, MultiAgentOrchestrator } from 'multi-agent-orchestrator';

const memoryStorage = new InMemoryChatStorage();
const orchestrator = new MultiAgentOrchestrator(memoryStorage);

from multi_agent_orchestrator.storage import InMemoryChatStorage
from multi_agent_orchestrator.orchestrator import MultiAgentOrchestrator

memory_storage = InMemoryChatStorage()
orchestrator = MultiAgentOrchestrator(storage=memory_storage)

Considerations

Data is lost when the application restarts or crashes
Not suitable for distributed systems or applications requiring data persistence
Limited by available memory on the host machine

Best Practices

Use in-memory storage for rapid prototyping and development
Implement proper error handling to manage potential memory constraints
Consider switching to a persistent storage option like DynamoDB for production deployments

In-memory storage provides a straightforward and efficient solution for managing conversation history in scenarios where long-term data persistence is not a requirement. It allows for quick setup and is particularly useful during the development and testing phases of your Multi-Agent Orchestrator System implementation.