Kestra

The REST API covers flows, executions, tasks, triggers, and namespaces. Agents can trigger flow executions with inputs, monitor execution progress through the execution state API, retrieve task logs, and manage flow definitions. The API-first design means all Kestra operations accessible in the UI are also accessible via the REST API, providing full programmatic control.

Reliability for self-hosted Kestra is the team's operational responsibility. Kestra Cloud provides managed reliability for teams that prefer vendor-managed infrastructure. Kestra's workflow execution is designed for high throughput and parallel execution, which makes it suitable for teams running large numbers of concurrent workflows.

Kestra is an open-source, API-first workflow orchestration platform with YAML-based flow definitions and a REST API designed for programmatic workflow management. Its language-agnostic design — supporting Python, JavaScript, Go, and others through scripting tasks — makes it more accessible in polyglot environments than Python-native orchestrators like Prefect or Dagster. For agents that need to trigger and manage workflows across a diverse technology stack, Kestra's uniform REST interface provides consistent orchestration regardless of the workflow's implementation language.

Authentication uses basic auth or API tokens depending on the Kestra deployment configuration. Kestra Enterprise adds RBAC and SSO capabilities. Self-hosted open-source deployments have configurable auth settings — teams should configure appropriate auth rather than running Kestra with default settings in production environments.

Documentation covers the REST API and YAML flow definition syntax clearly. The API reference is complete and the flow definition documentation is thorough for the available task types. Teams evaluating Kestra for API-first orchestration in polyglot environments will find the documentation covers the integration patterns clearly.