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Agent Canvas ships with a set of pre-built automations for the most common agent workflows. Each one is a ready-to-use starting point — pick the one that fits your use case, connect it to the right backend, and you can have an automation running in minutes.

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Available Pre-built Automations

Backends created by the agent-canvas launcher include Automation Server, so they can run agents on a schedule or in response to external events.

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What You Can Do

In the Automate view, you can:
  • Browse existing automations
  • Inspect automation configuration and activity
  • Enable or disable automations
  • Edit an automation’s LLM profile for future runs
  • Work with recommended automation flows

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How Creation Flows Usually Start

The Automations view is mainly for browsing and managing automations that already exist. In practice, new automation setup starts in one of two ways:
  • From a conversation, where you ask OpenHands to create an automation for you
  • From a recommended automation flow in the Automations view
For recommended automations that support a direct form setup, Agent Canvas checks the active backend’s capabilities and any prerequisites, then guides you through the required input fields, a review step, and creation. If direct form setup is unavailable, it offers a conversation-assisted setup instead. Review the proposed configuration before creating an automation. For a detailed walkthrough, see Creating Automations.
Some recommended automations depend on integrations that cannot be auto-installed as MCP servers on this backend (for example, Jira’s HTTP/OpenAPI-only integration). These appear on the recommendation card with a Needs external setup label. The MCPs to connect count only covers integrations the install flow can connect automatically. You must configure externally-hosted integrations yourself before the automation can use them.
Automations run against the active backend. Use Manage Backends to see and switch which backend your automations run on.

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Edit an Automation’s LLM Profile

Open an automation, select Edit, and use the LLM profile dropdown to change which saved profile future runs use. If an automation already has a profile, the edit dialog pre-selects it. Changing the LLM profile affects future automation runs. It does not rewrite previous run history.