Adding Memory to Your Agent

Now, let's update our agent to include memory. Open your agents/index.ts file and make the following changes:

Import the Memory and LibSQLStore classes:

typescript

import { Agent } from '@mastra/core/agent'
import { Memory } from '@mastra/memory'
import { LibSQLStore } from '@mastra/libsql'
import { getTransactionsTool } from '../tools'

Add memory to your agent configured by a storage instance:

typescript

export const financialAgent = new Agent({
  name: 'Financial Assistant Agent',
  instructions: `ROLE DEFINITION
  // ... existing instructions ...
  `,
  model: 'openai/gpt-5.4',
  tools: { getTransactionsTool },
  memory: new Memory({
    storage: new LibSQLStore({
      id: 'learning-memory-storage',
      url: 'file:../../memory.db', // local file-system database. Location is relative to the output directory `.mastra/output`
    }),
  }), // Add memory here
})

By adding the memory property to your agent configuration, you're enabling it to remember previous conversations. The Memory class from the @mastra/memory package provides a simple way to add memory capabilities to your agent. The LibSQLStore class from @mastra/libsql persists the memory data to a SQLite database.