Awesome AI Agents › AI Workflow Orchestrators

triggerdotdev/trigger.dev

⭐ 16273 TypeScript added to this list on 2025-10-04 repository created 2022-11-30

Trigger.dev is an open-source platform designed for building and deploying fully-managed AI agents and workflows using TypeScript. It enables developers to create long-running tasks with features such as retries, queues, observability, and elastic scaling, overcoming limitations like timeouts found in other serverless platforms such as AWS Lambda and Vercel. The platform supports true runtime freedom, allowing customization of deployed tasks with system packages to run browsers, Python scripts, FFmpeg, and more. It also supports human-in-the-loop workflows where tasks can be programmatically paused for human approval, rejection, or feedback. Real-time applications and streaming are supported by subscribing to runs or streaming AI responses directly to applications. Observability and monitoring are integral, with full tracing, logs, and configurable error alerts for quick bug detection. Key features include a JavaScript and TypeScript SDK for building background tasks, durable cron schedules for recurring tasks, real-time updates with LLM streaming support, build extensions for customizing the build process, React hooks for frontend API interaction, batch triggering of tasks, structured input/output with runtime validation, concurrency and queue management, multiple environment support (Development, Staging, Preview, Production), automatic retries, checkpointing for task durability, atomic versioning, resource configuration (vCPUs and RAM), comprehensive logging and tracing, tagging and metadata for runs, bulk actions on multiple runs, and real-time alerts for failures and deployments. Tasks are written directly in the codebase, allowing version control, local testing, and review. Deployment is simplified with no infrastructure management required, supporting both cloud and self-hosted options. The platform provides full visibility into every job run with detailed trace views to understand each step of task execution. Overall, Trigger.dev offers a robust, scalable, and developer-friendly environment for building AI workflows and agents with advanced operational features and seamless integration into existing development processes.

https://github.com/triggerdotdev/trigger.dev

aiai-agent-frameworkai-agentsautomatic-retriesautomationbackground-jobsbatch-triggeringbuild-extensionsbulk-actionscheckpointingcloudconcurrencydeploymentdurable-cron-scheduleselastic-scalinghuman-in-the-loopjavascript-sdkllm-streaminglogginglong-running-tasksmcpmcp-servermetadatamonitoringmultiple-environmentsnextjsobservabilityorchestrationqueuesreact-hooksreal-time-alertsreal-time-appsresource-configurationretriesruntime-freedomschedulerself-hostingserverlessstreamingstructured-inputstaggingtracingtypescriptversioningworkflow-automationworkflows