Temporal
Company Information
Headquarters
Bellevue, Washington, USA
Year Founded
2019
Industries
Technology, Software Development, Cloud Computing, Financial Services, E-commerce
What Is Temporal?
Temporal is a software infrastructure company that develops an open-source durable execution platform for building reliable distributed applications and AI systems. Its technology preserves the state of application workflows so they can recover from crashes, network failures, API outages, and other disruptions without restarting from the beginning. Temporal is increasingly relevant to AI infrastructure because its platform can provide persistent execution for AI agents, long-running AI processes, and other stateful applications that need to operate reliably over extended periods.
What Does Temporal Do?
Temporal provides developers with infrastructure for coordinating complex processes that span services, APIs, databases, people, and AI systems. Developers define business logic as Temporal Workflows, while failure-prone operations such as API requests and external service calls can run as Activities with automatic retries. Temporal maintains workflow state so interrupted processes can resume from the appropriate point rather than starting over.
Organizations use the platform for processes including payment processing, order fulfillment, customer onboarding, infrastructure automation, and long-running AI agents. It can also support human-in-the-loop processes in which execution waits for human input before continuing.
Temporal Technology
Temporal is built around Durable Execution, an approach that makes application execution state persistent. A developer writes application logic as a Workflow, while the Temporal Service records the execution history needed to recover that Workflow after a process, service, or infrastructure failure. This allows long-running applications to resume execution without developers manually constructing much of the state-management and recovery logic themselves.
Temporal separates durable workflow logic from external operations through Activities. Activities handle operations such as API calls, database interactions, LLM requests, and other potentially unreliable tasks, while the platform provides mechanisms including automatic retries, task queues, signals, and timers. Developers can run the open-source Temporal Service themselves or use Temporal Cloud as the managed service.
For AI applications, this architecture can preserve agent state across long-running interactions and failures. Temporal’s AI architecture treats the Workflow as a durable orchestrator while LLM calls and tool invocations execute as Activities. This supports stateful AI agents, human-in-the-loop interactions, parallel tool execution, and recoverable multi-step AI processes.
Why Temporal Matters
AI agents and distributed applications increasingly perform processes that may last minutes, hours, days, or longer while interacting with unreliable external services. A failure during one step can otherwise interrupt the entire process or require developers to create substantial recovery infrastructure.
Temporal addresses this problem by providing durability as an application infrastructure layer, allowing stateful processes to survive failures and continue executing. This is particularly relevant to agentic AI, where agents may coordinate LLMs, tools, APIs, human approvals, and other agents across extended workflows. Temporal therefore occupies an important part of the emerging AI orchestration and execution infrastructure stack rather than functioning as another AI model or agent interface.
Temporal Products & Platforms
Temporal Cloud
Temporal Cloud is the company’s managed durable execution service. It provides the Temporal Service without requiring organizations to operate the underlying orchestration infrastructure themselves. Applications connect to the service while developers continue writing their application logic using Temporal SDKs and Workers.
Temporal Open Source
Temporal is also available as an MIT-licensed open-source platform that organizations can host in their own environments. The open-source deployment provides the core Temporal Service responsible for maintaining workflow state and coordinating execution.
Temporal SDKs
Temporal provides native SDKs that allow developers to define Workflows and Activities using familiar programming languages. The SDK approach lets teams implement durable application logic directly in code rather than expressing complex processes exclusively through external workflow configuration.
Temporal AI Engineering
Temporal provides architecture patterns and tooling for using its durable execution model with AI systems. These patterns support AI agent orchestration, LLM calls, tool execution, human approvals, persistent agent state, and long-running agent loops. Temporal’s architecture keeps nondeterministic operations such as LLM and external API calls in Activities while Workflows coordinate their execution.
Temporal Applications
Temporal can support applications where multiple operations must remain coordinated despite failures. Examples include payment processing and order fulfillment, customer onboarding, long-running business processes, CI/CD pipelines, infrastructure provisioning, and other distributed applications.
AI is becoming another important application area. Developers can use Temporal to orchestrate AI agents and multi-step AI pipelines that call LLMs, invoke tools, interact with APIs, wait for human decisions, and maintain state across extended executions. Temporal can therefore serve as an execution layer beneath AI applications while allowing teams to use their preferred models and agent frameworks.
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Frequently Asked Questions
How does Temporal keep workflows running after failures?
Temporal records the execution state and history of a Workflow. If a Worker, service, or infrastructure component fails, the Workflow can recover and continue from its recorded state rather than requiring the entire process to restart.
Can Temporal be used to build AI agents?
Yes. Temporal can provide the durable execution and orchestration layer for AI agents. LLM calls and tool invocations can run as Activities while a Workflow maintains agent state and coordinates the overall execution.
Does Temporal replace AI agent frameworks?
Not necessarily. Temporal can work underneath or alongside AI frameworks by handling execution durability, state, retries, and orchestration. Temporal states that developers can add agentic capabilities using their framework of choice, making it primarily an execution infrastructure layer rather than a replacement for every agent development framework.
What is the difference between a Temporal Workflow and an Activity?
A Workflow contains the durable application logic that Temporal can recover and replay. An Activity performs operations with external side effects, such as API requests, database interactions, LLM calls, or other operations that may fail and need retry handling.
Can Temporal be self-hosted?
Yes. Temporal’s core platform is open source and can be hosted by an organization in its own environment. Organizations that do not want to operate the Temporal Service themselves can use the managed Temporal Cloud service instead.
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