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TRIGGER.DEV
Open-source platform for AI workflows and background tasks
MIT
ABOUT
AI agent workflows often need reliable background execution — retries after failures, scheduled runs, fan-out to multiple processors, and state persistence across long-running operations. Building this infrastructure from scratch is complex and error-prone. Trigger.dev solves this by providing an open-source platform where you define AI workflows as TypeScript functions with built-in retries, queue management, and elastic scaling. Tasks can chain together, pause for human input, and resume seamlessly — all with full observability into execution and cost.
INSTALL
npm install @trigger.dev/sdkINTEGRATION GUIDE
1. Build durable AI agent workflows that retry on failure, persist state across steps, and handle long-running operations
2. Create scheduled AI tasks that run on cron schedules — daily reports, data processing, model inference
3. Fan out AI processing to multiple parallel workers and aggregate results with built-in queue management
4. Build event-driven AI pipelines that trigger on webhooks, database changes, or application events
5. Deploy background AI tasks with automatic rate limiting, error recovery, and execution observability
TAGS
workflow-orchestrationbackground-jobstypescriptopen-sourceai-agentstask-queues