Always completes

Agents powered by Akka Orchestration reliably reach their goals, even in the face of failures, delays, or long execution times. Workflows persist through crashes, restarts, and extended downtime, ensuring that no task is left unfinished.

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Exactly once actions

Akka Orchestration ensures that every action happens once and only once, so agents don’t unintentionally send duplicate messages, execute the same API call twice, or corrupt downstream systems with repeated writes.

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Instant recovery

Agents resume work immediately after crashes, restarts, or rebalancing — with no manual intervention or lost progress. Akka Orchestration recovers state in milliseconds, enabling high availability and uninterrupted execution across even the most dynamic infrastructure environments.

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Reactive orchestration

Akka Orchestration is built on reactive principles, enabling agents to respond to events and data in real time without blocking. Workflows stay responsive under load, adapt dynamically to input, and continue progressing even while waiting on external systems, making it ideal for agents operating in high-throughput, real-time environments.

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Safe workflow evolution

Agents can adapt and improve without disruption. Akka Orchestration supports logic and schema updates without breaking in-flight workflows, enabling continuous delivery even for long-running processes.

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Durable, exactly-once workflow engine

The Akka Orchestration workflow engine executes one command at a time with strong consistency guarantees, ensuring exactly-once side effects without external coordination.

State changes are persisted using event sourcing, with periodic snapshots to accelerate recovery. On failure, workflows restore their state from the latest snapshot and replay only recent events. Execution is transactional, and failed steps can be rolled back automatically to maintain correctness.

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Integrate external APIs and tools

Akka Orchestration can manage calls to external APIs and tools as first-class steps, with integrated support for retries, flow control, and error handling.

Error handling and compensation

Workflows in Akka Orchestration can define timeouts, retries, and recovery strategies directly in their logic. Compensation handlers can be attached to reverse the effects of partially completed steps, ensuring that failed workflows leave the system in a consistent state. Failure modes are modeled explicitly, so workflows behave predictably even under adverse conditions.

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Multi-region replication

Akka Orchestration supports active-active deployments across cloud regions or data centers with strong consistency guarantees.

Workflows can be transparently distributed, recovered, or fail over across zones without losing progress or duplicating side effects. This enables high availability and geographic resilience for globally distributed agentic systems.

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Visual workflow monitoring and observability

Akka Orchestration provides built-in tools to inspect workflow state, trace execution paths, and debug failures in real time in both a local and cloud console. Visualize active and completed workflows, drill into individual steps, and understand the system’s behavior at a glance.

All telemetry — including metrics, logs, and traces — can be exported to existing observability stacks for end-to-end visibility across the agentic system.

Agentic workflows

Akka Orchestration supports the full range of agentic workflows–sequential plans, branching decisions, human-in-the-loop checkpoints and more. Agents can pursue complex, dynamic goals, knowing that workflows will run to completion.

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Part of the platform

Akka Orchestration is part of the Akka Agentic Platform, which provides everything needed to build, run, and evaluate agentic systems. This includes structured, goal-directed agents with Akka Agents, resilient state management with Akka Memory, and real-time data handling with Akka Streaming.

Workflows can be deployed across regions, clouds, and edge environments, and are operated using Akka’s proven tools for scaling, failover, observability, and workflow management.

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Additional resources

When AI Needs an SLA