Kestra 2.0 splits into a control plane and data plane, letting workers connect via gRPC instead of requiring direct database access, which means you can deploy them across regions and networks. The release also adds AI agent integration, a revamped no-code editor, and decouples the queue from the database for simpler configuration.

• Workers now connect to the control plane over a single outbound gRPC stream instead of needing direct database access, enabling deployment in different regions, clouds, or restricted networks without opening inbound ports.
• Queue and repository are now independent, so you pick them separately (Postgres, Kafka, Redis, or AMQP) instead of being locked into paired options; this simplified the codebase to one implementation instead of multiple backends.
• MCP Tool Trigger exposes any existing flow as a callable tool for AI agents like Claude, skipping the need for custom integration layers.
• AI Copilot is now a persistent sidebar with three modes (Edit, Plan, Ask) that refines flows iteratively rather than generating from scratch, and reads your namespace configuration to ground suggestions.