# Run Acontext Locally



## Install `acontext-cli` [#install-acontext-cli]

```bash
curl -fsSL https://install.acontext.io | sh
```

## Start Acontext Server Locally [#start-acontext-server-locally]

Acontext requires at least an OpenAI API Key to Start.

```bash title=".env"
LLM_API_KEY="YOUR_OPENAI_API_KEY"
```

Place your `.env` file and run `acontext server up` at the same directory:

```bash server
mkdir acontext_server && cd acontext_server
acontext server up
```

`acontext server up` will create/use the existing `.env` and `config.yaml` for Acontext, and create a `db` folder to persist data.

Once it's done, you can access the following endpoints:

* Acontext Base URL: [http://localhost:8029/api/v1](http://localhost:8029/api/v1)
* Acontext Dashboard: [http://localhost:3000/](http://localhost:3000/)

<Info>
  To use different providers, check [Core Settings](/settings/core) for more details.
</Info>

## Next Steps [#next-steps]

<CardGroup cols="2">
  <Card title="Dashboard" icon="chart-simple" href="/observe/dashboard">
    View your agent's tasks, conversations in one place
  </Card>

  <Card title="Store Messages" icon="message" href="/store/messages/multi-provider">
    Save agent conversations with context
  </Card>

  <Card title="Configuration" icon="gear" href="/settings/general">
    Configure Acontext to your needs
  </Card>
</CardGroup>