Stop Building Your Own Agent Infrastructure. Meet Agent Tasks

Qovery has introduced Agent Tasks, a beta feature for running one-time or scheduled AI agents within an organization’s own infrastructure rather than relying on external platforms or building custom scheduling, webhook, and security systems. Agent Tasks are positioned as first-class workloads that inherit existing infrastructure controls, data residency, network boundaries, and centralized access to MCP servers, secrets, applications, and databases. Users configure an agent through instructions, contextual data sources such as repositories or observability tools, network egress restrictions, and schedule- or webhook-based triggers. An incident-response example describes an agent that investigates an alert by gathering metrics, reviewing related code and runbooks, checking deployment status, and sending a proposed root cause, fix, and pull request to Slack. Qovery says the feature is available to all users in beta, with templates and setup intended to allow agents to run with real organizational context in minutes.

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