StartupSeries A
Trigger.dev
Open-source durable runtime for building and deploying AI agents and workflows in TypeScript.
Trigger.dev is an open-source (Apache-2.0) platform for long-running AI agents and workflows in TypeScript. Tasks run without timeouts and get durability via checkpointing, retries, queues, concurrency controls, idempotency and versioned deploys, plus human-in-the-loop waitpoints, Realtime streaming of LLM output to frontends, cron schedules and per-run tracing and logs. Its chat agents are pitched as surviving refreshes, redeploys and crashes. It can be used as a managed cloud with usage-based pricing or self-hosted. In December 2025 the company announced a $16M Series A led by Standard Capital with participation from Y Combinator.
Pros & cons
Each point cites its sources and says what kind of evidence backs it. A second reviewer tried to refute every claim before it was kept.
Pros
- MetadataApache-2.0 and very actively maintained: about 16.6k GitHub stars and commits on 29 Oct 2026.[1]
- DocsCompute is billed only while tasks execute. Waits on subtasks, and wait.for/wait.until waits longer than 5 seconds, are checkpointed and not charged, which suits long-running agent jobs.[1]
- User reportsOne customer runs its agents and background jobs on Trigger.dev and says preview branching lets coding agents build and verify features in parallel.[1]
- User reportsAnother customer building AI automation on TypeScript says it scaled with little effort and cost less than self-hosting on a VPS.[1][2]
Cons
- DocsThe free tier gives $5 of compute a month, 20 concurrent runs and only 1 day of log retention.[1]
- DocsSelf-hosted deployments lack warm starts, auto-scaling, checkpoints and dedicated support (Discord community only), and logs are never deleted.[1]
- Docsv3 is end of life: 4.5.1 and later reject v3 triggers and deploys, so older projects must migrate to v4.[1]
- DocsConcurrency beyond the Pro plan's 200 runs costs $10/month per 50, and every plan is limited to 1,500 API requests per minute unless you ask for more.[1]
- Best for
- TypeScript teams that want managed, durable background jobs and agent runs without running their own queue or worker fleet.
- Watch out for
- Price out concurrency and log retention, and know that self-hosting gives up warm starts, autoscaling and checkpoints.
Assessed Oct 29, 2026 · adversarially reviewedSuggest a correction
People
Co-founder & CTO
Harness engineering
Co-founder & CEO
Harness engineering
Co-founder
Harness engineering
Neighbours in the directory
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Serverless cloud built for AI and agentic compute.
Modal lets teams run inference, fine-tuning and arbitrary agent workloads as serverless Python without managing infrastructure — a common substrate for harness backends at scale.
Connections
Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.
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Sources
Verified Oct 29, 2026