triggerdotdev/trigger.dev

Trigger.dev – build and deploy fully‑managed AI agents and workflows

What it solves

Trigger.dev 旨在解决在无服务器平台（如 AWS Lambda 或 Vercel）上构建 AI 代理和复杂工作流时的限制。它消除执行超时，提供具备自动重试的持久任务执行，并管理资源密集型 AI 任务所需的基础设施扩展。

How it works

开发者直接在 TypeScript 代码库中使用 SDK 编写后台任务。这些任务会部署到 Trigger.dev 平台（云端或自托管），平台负责编排、排队与扩展。平台使用检查点系统确保任务具备持久性，能够从中断处继续执行，并支持“waitpoints”进行人工交互。

Who it’s for

使用 TypeScript 开发 AI 代理、长时间后台作业和自动化工作流的开发者，需要高可靠性、可观测性，并能够与各种 LLM 和框架集成。

Highlights

  • No Timeouts: Execute long-running tasks without the constraints of traditional serverless functions.
  • Human-in-the-Loop: Programmatically pause tasks for human approval or feedback via waitpoints.
  • Durable Execution: Built-in checkpointing, automatic retries, and idempotency to ensure tasks complete successfully.
  • Runtime Freedom: Ability to customize build extensions to run system packages like Python scripts, FFmpeg, or browsers.
  • Full Observability: Comprehensive logging, tracing, and real-time updates for every task run.
  • Real-time Streaming: Support for streaming AI responses directly to the frontend using React hooks.