Temporal Agent Harness: An early look at durable agent infrastructure

Temporal introduces the Temporal Agent Harness, an early-stage open-source framework designed to add durable execution, governance, and observability around existing AI agent SDKs rather than replace them. It addresses the challenge of using unpredictable language models in business processes by running agents as Temporal Workflows that can survive failures, wait for approvals or external events, retry work, and resume without repeating completed steps. The harness currently integrates with Google Gemini, OpenAI Agents SDK, and PydanticAI, and provides controls around tool calls, including configurable approval policies, while supporting long-running interactions through a higher-level “turn” model that preserves context across multiple agent invocations. It also enables strongly typed agent operations and composition between agents, supports policy-governed code execution and remotely performed callback tools, and records execution as a durable stream of structured AgentEvents for interfaces, audits, debugging, analytics, evaluation, and replay. Temporal describes the project as earlier than a public preview, with changing APIs and unfinished abstractions, and invites developers to test it, contribute feedback, and suggest integrations and additional SDK support.

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