Trigger.dev is an open-source platform designed for building durable AI agents and workflows in TypeScript. It supports long-running tasks and provides features such as retries, queues, and LLM observability.
Purpose Trigger.dev is designed to help developers build reliable AI applications by offloading long-running asynchronous AI tasks to its infrastructure. It is suitable for building durable AI agents that can withstand refreshes, redeployments, and crashes, and supports streaming to the frontend.
Key Capabilities
- Build durable AI agents with tool calling, human-in-the-loop interaction, and full observability.
- Support multiple AI workflow patterns: autonomous agents, prompt chaining, intelligent task routing, parallelization, multi-agent coordination, and evaluator-optimizer.
- Provide deployment and scaling capabilities without managing servers, with pay-as-you-go pricing.
- Support long-running tasks, automatic retries, conditional retries, and fine-grained error-based retries.
- Provide LLM observability, logs and tracing, advanced run filters, and real-time alerts.
- Support real-time updates and streaming, streaming LLM responses from runs to users.
- Provide durable cron scheduling, batch triggering, typed validation payloads, waiting for HTTP callbacks, preview branches, durable chat agents, multi-region workers, AWS PrivateLink, concurrency and queues, human-in-the-loop, multiple environments, elastic infrastructure, build extensions, Vercel integration, GitHub integration, and version skew protection.
- Allow customization of the build process, including executing Python scripts, copying files, generating Prisma clients, migrating databases, browser automation capabilities, adding custom esbuild plugins, adding FFmpeg binaries, installing system packages, and more.
Usage Developers write task code in TypeScript, and Trigger.dev handles deployment and scaling. It can be integrated via Vercel or GitHub and supports preview branches. Tasks can be configured with automatic retries and support conditional retries. Forward streams from any provider to the frontend via the Realtime API.
Use Cases Suitable for modern developers who need reliable background jobs, especially for building AI-powered products such as chat agents, workflow orchestration, data processing, ETL processes, and more. Customer cases include Magic Patterns, MagicSchool AI, Pallet, Comp AI, Cal.com, HeroUI, and others.
Limitations The materials do not provide specific pricing details, platform support limitations, or performance metrics. Trigger.dev is licensed under Apache 2.0 and can be self-hosted.
