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Sreeram Sreedhar 2026-04-13 23:07:44 -07:00
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packages/tools/README.md
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@ -409,42 +409,10 @@ const addResult = await tools.addMemory({
### Mastra Usage
> **⚠️ Breaking Change in v2.0.0**: The Mastra integration API has been updated to use object-based parameters instead of positional parameters for better clarity. See the migration guide below.
Add persistent memory to [Mastra](https://mastra.ai) AI agents. The integration provides processors that:
- **Input Processor**: Fetches relevant memories and injects them into the system prompt before LLM calls
- **Output Processor**: Optionally saves conversations to Supermemory after responses
#### Migration from v1.x to v2.0.0
**v1.x (old API with positional parameters):**
```typescript
// Old API - DEPRECATED
withSupermemory(config, "user-123", "conv-456", { mode: "full" })
new SupermemoryInputProcessor("user-123", "conv-456", { mode: "full" })
createSupermemoryProcessors("user-123", "conv-456", { mode: "full" })
```
**v2.0.0 (new API with object parameters):**
```typescript
// New API - clearer with explicit key-value pairs
withSupermemory(config, {
containerTag: "user-123",
customId: "conv-456",
mode: "full"
})
new SupermemoryInputProcessor({
containerTag: "user-123",
customId: "conv-456",
mode: "full"
})
createSupermemoryProcessors({
containerTag: "user-123",
customId: "conv-456",
mode: "full"
})
```
#### Quick Start with `withSupermemory` Wrapper
The simplest way to add memory to a Mastra agent - wrap your config before creating the Agent: