---
title: "Chroma"
description: "Use Chroma as a vector database in Mem0 for local or cloud-hosted vector storage with built-in embedding support."
---
[Chroma](https://www.trychroma.com/) is an AI-native open-source vector database that simplifies building LLM apps by providing tools for storing, embedding, and searching embeddings with a focus on simplicity and speed. It supports both local deployment and cloud hosting through ChromaDB Cloud.

### Usage

#### Local Installation

```python
import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "sk-xx"

config = {
    "vector_store": {
        "provider": "chroma",
        "config": {
            "collection_name": "test",
            "path": "db",
            # Optional: ChromaDB Cloud configuration
            # "api_key": "your-chroma-cloud-api-key",
            # "tenant": "your-chroma-cloud-tenant-id",
        }
    }
}

m = Memory.from_config(config)
messages = [
    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
    {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
    {"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
m.add(messages, user_id="alice", metadata={"category": "movies"})
```

### Config

Here are the parameters available for configuring Chroma:

| Parameter | Description | Default Value |
| --- | --- | --- |
| `collection_name` | The name of the collection | `mem0` |
| `client` | Custom client for Chroma | `None` |
| `path` | Path for the Chroma database | `db` |
| `host` | The host where the Chroma server is running | `None` |
| `port` | The port where the Chroma server is running | `None` |
| `api_key` | ChromaDB Cloud API key (for cloud usage) | `None` |
| `tenant` | ChromaDB Cloud tenant ID (for cloud usage) | `None` |