30 lines
1.1 KiB
Markdown
30 lines
1.1 KiB
Markdown
# Storage Configuration
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Conversation history relies on a storage adapter to persist messages. By default, Mastra uses a LibSQL store that saves messages to a local database. You can configure this or use other storage options:
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```typescript
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import { Memory } from "@mastra/memory";
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import { LibSQLStore } from "@mastra/libsql";
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const memory = new Memory({
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// Configure storage
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storage: new LibSQLStore({
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id: "learning-memory-storage",
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url: "file:../../memory.db", // Local database. Relative to the output folder
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}),
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options: {
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lastMessages: 20,
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},
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});
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```
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Mastra supports several storage options, including:
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- LibSQL (default, local SQLite)
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- PostgreSQL
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- Upstash (Redis)
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The storage adapter is responsible for persisting memory data, including conversation history and working memory. This allows your agent to remember conversations even after your application restarts.
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For development and testing, the default LibSQL store is usually sufficient. For production applications, you might want to use a more robust storage option like PostgreSQL or a cloud-based solution like Upstash.
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