Trigger.dev

Trigger.dev is an open-source TypeScript platform for building and deploying long-running AI agents and workflows with retries, queues, observability, realtime updates, and elastic scaling. The curl-fetched vendor pages position it in the ai workflow infrastructure category and emphasize practical capabilities rather than a vague concept: long-running tasks, AI agent workflows, queues and concurrency, observability, self-hosting and cloud. For builders, the main value is shortening the distance between an idea and an operational workflow. A product team can use it for agent backends, scheduled tasks, workflow retries, serverless TypeScript jobs, while a business team can evaluate it around repeatability, governance, and time saved. The pricing evidence captured during this run showed: Free ($0/month: Includes $5 free monthly usage, 20 concurrent runs, unlimited tasks, 5 team members); Pro (Usage-based: Includes more alert destinations and then $10/month per 1,000 beyond included usage); Enterprise (Custom: RBAC, SOC 2 report, SSO, priority support). A good first pilot is a narrow, measurable workflow: define the input, expected output, human review point, and success metric, then compare the result with the current manual process. Buyers should also confirm data handling, retention, export options, admin controls, and whether generated work can be inspected or versioned. Compared with older automation or content tools, Trigger.dev is most interesting where AI is part of the actual execution loop rather than only a chat interface. It should fit teams that want speed, but still need enough structure to avoid brittle one-off experiments. MCP note: Trigger.dev has verified Model Context Protocol support as a server; The fetched homepage/pricing navigation explicitly lists an Official MCP server in the documentation links. This matters for teams standardizing agent integrations because it lets compatible tools expose or consume context without bespoke glue code.