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# Temporal AI framework integrations are now GA

**[Temporal](https://daily.dev/sources/temporal)** · 4 min read · 0 upvotes · 0 comments

## Summary

Temporal has made its integrations for several AI agent frameworks generally available. Supported frameworks include Google ADK, OpenAI Agents SDK, AWS Strands, LangGraph, LangSmith, Vercel AI SDK, and Google GenAI, with language support varying by integration. The integrations let a single Workflow run agents built with different frameworks while sharing one durable execution model, so a run can survive a failed model call, a Worker restart, or a deployment and resume from recorded progress. Token streaming through Workflow Streams is in Public Preview for Python and TypeScript. Partner-built integrations already exist for Pydantic AI, Mastra, and Braintrust, and packages are available per integration and language, such as `uv add temporalio-openai-agents`.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://temporal.io/blog/ai-framework-integrations>

## Questions this post answers

### How do I add Temporal durable execution to a Google ADK agent without rewriting it?

Replace the model name argument with `TemporalModel("gemini-2.5-flash")` from `temporalio.google_adk`, keep the rest of the ADK agent code unchanged, and register `GoogleAdkPlugin` with the Temporal Client and Worker. `TemporalModel` runs each model call as an Activity, and the plugin keeps the agent loop replay-safe across Worker restarts.

_Teams wiring durable execution into agent frameworks track integration changes like this on daily.dev._

### Which AI agent frameworks have generally available Temporal integrations?

Google ADK, OpenAI Agents SDK, AWS Strands, LangGraph, LangSmith, Vercel AI SDK, and Google GenAI all have GA Temporal integrations, spanning Python and TypeScript (Google ADK also has a Go package). Partner-built integrations also exist for Pydantic AI, Mastra, and Braintrust, all built on Temporal's Plugin API.

_Developers choosing an agent framework with durable execution support can keep up with coverage like this on daily.dev._

### What happens to in-progress AI agent runs when a model call fails or a Temporal Worker restarts?

The run continues from recorded progress instead of starting over. Temporal reconstructs the Workflow from its Event History after a Worker restart or deployment interruption, and during replay it reuses previously recorded Activity results rather than reissuing the same model or tool call.

_Engineers building fault-tolerant AI agent pipelines follow reliability details like this on daily.dev._

## Similar posts on daily.dev

- [Building durable agents with Temporal and AI SDK by Vercel](https://daily.dev/posts/building-durable-agents-with-temporal-and-ai-sdk-by-vercel-ks50tz8ji) · Temporal · 1 upvotes · 0 comments
- [Temporal reveals serverless option for its Durable Execution platform](https://daily.dev/posts/temporal-reveals-serverless-option-for-its-durable-execution-platform-o3rnnfwsf) · The New Stack · 2 upvotes · 0 comments
- [Introducing the Temporal Developer Skill](https://daily.dev/posts/introducing-the-temporal-developer-skill-8knrq2yb3) · Temporal · 0 upvotes · 0 comments

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langgraph](https://daily.dev/tags/langgraph)

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