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Temporal AI Agent

Temporal AI Agent AI Agent
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Overview

Temporal AI Agent is an open-source demonstration of a conversational tool-using agent inside a durable Temporal workflow.

Temporal AI Agent is an open-source demonstration of a conversational tool-using agent inside a durable Temporal workflow.

Define a goal and the tools allowed to achieve it, then let the conversational loop ask for missing details and execute steps. Temporal keeps workflow state and retries failed activities; people can confirm sensitive actions. Run the Python workers, React interface and Temporal service with your chosen model credentials. Treat the included travel, finance and payment examples as demonstrations: some tools return mock data, and Stripe examples use test credentials. The linked January 2025 official video introduces the project; the repository contains later changes.

Product overview

Capabilities, pricing and fit

Temporal AI Agent is an open-source demonstration of a conversational tool-using agent inside a durable Temporal workflow.

Information as of October 21, 2026

What it can do

  • Workflow

    Define a goal and the tools allowed to achieve it, then let the conversational loop ask for missing details and execute steps. Temporal keeps workflow state and retries failed activities; people can confirm sensitive actions. Run the Python workers, React interface and Temporal service with your chosen model credentials. Treat the included travel, finance and payment examples as demonstrations: some tools return mock data, and Stripe examples use test credentials. The linked January 2025 official video introduces the project; the repository contains later changes.[1], [2], [3], [4]

Where it fits best

Pricing and availability

The MIT-licensed code is accessible without a software subscription. Model usage, hosting and any Temporal Cloud service cost extra.[1], [2], [3], [4]

Platforms: Local development environment[1], [2], [3], [4]

Access: Developers run the Python workers, frontend and Temporal service and configure model credentials; this is not a ready-made hosted assistant.[1], [2], [3], [4]

Sources (4)
  1. github.com — product informationOfficial site · checked 2026-10-21
  2. github.com — product informationOfficial site · checked 2026-10-21
  3. github.com — product informationOfficial site · checked 2026-10-21
  4. github.com — product informationOfficial site · checked 2026-10-21

Autonomy level

82/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: The configured demo can select tools, gather missing information and continue a multi-step goal inside a durable workflow. Developers define the goals and tools, supply model credentials and operate the workers; people provide requested details and confirm consequential actions. This score describes the enabled agent loop, not production readiness ...

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