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TemporalGreg Haskins5 min readintermediate

The thread is the Workflow: Durable AI agents without changing Agent code

Read on temporal.io

Summary

Manetu's AgentVisor uses Temporal Workflows to provide durable execution for AI agents, allowing them to survive crashes and long-running interactions without modifying the agent's core code. It maps agent threads to Temporal Workflows, managing state and recovery transparently while also integrating security features.

  • Temporal Workflows can provide transparent durability for AI agents, abstracting crash recovery and long-running state.
  • Agent Protocol Threads map 1:1 to Temporal Workflows, with agent checkpoints updating Workflow state via Temporal Updates.
  • Only the latest agent checkpoint is stored, relying on Temporal's history for full replay and managing history limits.
  • Distinguishing between human-in-the-loop and crash recovery resumes requires careful Workflow logic.

Engineers building production AI agents can use this approach to achieve robust, fault-tolerant execution and enhanced security without complex agent-side changes.

7/10
securityai agentstemporalworkflow orchestrationdurabilityproduction engineering

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