> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Store Long Term • AI Agent SDK

> store_long_term: Store text in ChromaDB with embedding.

# store\_long\_term

<div className="flex items-center gap-2">
  <Badge color="purple">Method</Badge>
</div>

> This is a method of the [**ChromaMemoryAdapter**](../classes/ChromaMemoryAdapter) class in the [**factories**](../modules/factories) module.

Store text in ChromaDB with embedding.

## Signature

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def store_long_term(text: str, metadata: Optional[Dict[str, Any]]) -> str
```

## Parameters

<ParamField query="text" type="str" required={true}>
  No description available.
</ParamField>

<ParamField query="metadata" type="Optional" required={false}>
  No description available.
</ParamField>

### Returns

<ResponseField name="Returns" type="str">
  The result of the operation.
</ResponseField>

## Uses

* `embedding`
* `RuntimeError`
* `time.time_ns`
* `add`

## Used By

* [`Agent.store_memory`](../functions/Agent-store_memory)
* [`Mem0MemoryAdapter.store_short_term`](../functions/Mem0MemoryAdapter-store_short_term)
* [`ChromaMemoryAdapter.store_short_term`](../functions/ChromaMemoryAdapter-store_short_term)
* [`Memory.store_long_term`](../functions/Memory-store_long_term)
* [`Memory.remember`](../functions/Memory-remember)

## Source

<Card title="View on GitHub" icon="github" href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-agents/praisonaiagents/memory/adapters/factories.py#L282">
  `praisonaiagents/memory/adapters/factories.py` at line 282
</Card>