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| 1. Install the `arctl` binary on your local machine to manage agentregistry resources. | ||
| ```sh | ||
| curl -fsSL https://raw.githubusercontent.com/agentregistry-dev/agentregistry/main/scripts/get-arctl | bash | ||
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| export PATH="/usr/local/bin:$PATH" | ||
| ``` | ||
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| 2. Verify that the CLI is installed correctly. | ||
| ```sh | ||
| arctl version | ||
| ``` | ||
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| > [!TIP] | ||
| > By default, `arctl` connects to `http://localhost:12121`. If your agentregistry instance is exposed at a different address, set the `ARCTL_API_BASE_URL` environment variable or pass `--registry-url` on each command. For example: `export ARCTL_API_BASE_URL=http://<your-agentregistry-host>:12121`. | ||
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| @@ -0,0 +1,37 @@ | ||
| The agentregistry Helm chart includes a bundled PostgreSQL instance for development and evaluation. For production, [bring your own PostgreSQL instance]({{< link path="/operations/database/" >}}) instead. | ||
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Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. just reuse |
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| 1. Install agentregistry with the bundled PostgreSQL instance. | ||
| ```sh | ||
| helm upgrade -i agentregistry oci://ghcr.io/agentregistry-dev/agentregistry/charts/agentregistry \ | ||
| --namespace agentregistry \ | ||
| --create-namespace | ||
| ``` | ||
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| > [!NOTE] | ||
| > The bundled PostgreSQL instance is for development and evaluation only. Data is lost if the PostgreSQL pod is restarted or rescheduled. For production, [use an external PostgreSQL instance]({{< link path="/operations/database/" >}}) instead. | ||
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| 2. Verify that the agentregistry and PostgreSQL pods are up and running. | ||
| ```sh | ||
| kubectl get pods -n agentregistry | ||
| ``` | ||
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| Example output: | ||
| ```console | ||
| NAME READY STATUS RESTARTS AGE | ||
| agentregistry-c46b8bd98-hvnzf 1/1 Running 0 45s | ||
| agentregistry-postgresql-9858cbcbf-tk7p9 1/1 Running 0 45s | ||
| ``` | ||
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| 3. Port-forward the agentregistry service to access the UI and API from your local machine. | ||
| ```sh | ||
| kubectl port-forward -n agentregistry svc/agentregistry 12121:12121 | ||
| ``` | ||
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| 4. Optional: To connect AI development tools to the registry MCP server, port-forward the MCP port in a separate terminal. For more information, see [Connect AI clients to the registry MCP server]({{< link path="/setup/mcp-client/" >}}). | ||
| ```sh | ||
| kubectl port-forward -n agentregistry svc/agentregistry 31313:31313 | ||
| ``` | ||
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| 5. [Open the agentregistry UI](http://localhost:12121/) in your browser. | ||
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| {{< reuse-image src="img/ar-local.svg" srcDark="img/ar-local-dark.svg" >}} | ||
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just reuse