Agent building & orchestration

Temporal

Durable execution platform used to run stateful agent loops that call models and tools, wait on human decisions for days, and resume exactly where they stopped after failures. It supplies reliability primitives and full execution history rather than AI-specific policy, review consoles or data controls.

hybrid · generally available · Research snapshot 2026-09-06

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Where it fits

Agent building & orchestration · Observability & traceability

Useful conversation with: Platform engineering lead, Staff backend engineer, AI infrastructure architect.

Ask for a demonstration

Demonstrate an agent workflow that pauses for multi-day human approval via a Signal, survives a worker crash, and replays its full execution history.

Capabilities and evidence

Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.

Documented by provider

Supports long-running stateful agent loops that call LLMs and tools, wait on humans, and resume automatically after a crash, network timeout or multi-day wait.

Limit: Documentation covers execution reliability, not model or data governance.

Source s1

Documented by provider

Approval workflows block until external approval decisions are made, using Signals to capture approval data with metadata, and external sources including human actions can interact with workflows.

Limit: There is no described approval UI, reviewer role model or policy engine; approvals are implemented by developers.

Source s1 · Source s2

Documented by provider

Every workflow execution can be inspected, replayed and rewound step by step.

Limit: The page does not describe this as a tamper-evident audit log or state retention periods.

Source s2

Documented by provider

Task queue priority and fairness can prioritise urgent work and keep one tenant from starving others, and worker configuration is used to route and isolate agent workloads.

Limit: This is scheduling fairness, not a security tenant-isolation boundary.

Source s1

Limitations to discuss

Sources

  1. Durable AI | Temporal Documentation · Temporal · official docs
    Access date reported by researcher: 2026-09-06
  2. Durable Execution Platform · Temporal · official product
    Access date reported by researcher: 2026-09-06

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