<RAGMemory>

The RAGMemory component enables your agent to maintain long-term memory through a question-answer database system. This allows the agent to remember and recall information from previous conversations and interactions. The memory is shared across conversations.

Import

import { RAGMemory } from 'react-agents';

Usage

Add the component to your agent:

import { RAGMemory } from 'react-agents';
 
return (
  <Agent>
    {/* ... */}
    <RAGMemory
      chunkMessages={5} // Optional: Number of messages to chunk together when creating memories
    />
    {/* ... */}
  </Agent>
);

Additional Notes:

• The chunkMessages prop is optional and controls how many messages are grouped together when creating new memories
• If not specified, a default chunk size will be used
• The agent will:
  • Automatically create memories from conversation chunks
  • Summarize chunks of messages into memorable information
  • Store memories for later recall
  • Load relevant memories during conversations
  • Use memories to maintain context across sessions
• Memories persist across conversations and agent restarts
• Memories are stored in a vector database for efficient semantic search
• The agent can access memories that are semantically relevant to the current conversation