Trigger.dev
Open-source TypeScript platform for durable AI agents and background jobs
If you're a TypeScript developer building durable AI agents, Trigger.dev is a smart buy: free to start, generous Hobby tier at $10/month, and compute costs that often undercut Inngest or Temporal. We'd pick it when you need built-in HITL, streaming, and retries without gluing multiple tools together. Just watch per-run costs on high-frequency workloads—the invocation fee adds up.
Verified 7d ago · liveness 84/100 · cite: rightaichoice.com/tools/trigger-dev
- Developers building durable AI agents in TypeScript
- Teams needing background job processing with retries and queues
- Startups wanting to offload async infrastructure
- AI features requiring human-in-the-loop approval and streaming
- Non-developers—it requires TypeScript coding
- Teams needing real-time voice or video processing
- Projects that must stay fully on-premises without self-hosting effort
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Skip Trigger.dev if you need a fully managed background job platform without any self-hosting option, or if you're primarily doing low-volume, short-lived tasks where per-run costs would overwhelm the benefit.
Runs in production are charged $0.000025 per invocation, so high-frequency, short tasks can rack up unexpected costs.
Trigger.dev's pricing is compute-based, with metered per-second charges plus a small per-run fee—typically cheaper for long-running AI tasks than Inngest or Temporal's monthly plans. For a startup building AI agents, the free tier with $5 monthly credits and $10 Hobby tier offer a low-risk start, while high-volume workloads need careful run-count tracking.
In short
Trigger.dev — Open-source TypeScript platform for durable AI agents and background jobs. Best for Developers building durable AI agents in TypeScript, Teams needing background job processing with retries and queues, Startups wanting to offload async infrastructure. Free to start; paid plans from $10/mo.
What's new in Trigger.dev
Checked 7 days agoAcross the latest 5 updates: 5 feature updates.
Trigger.dev v4.5.11
Authenticate trigger deploy with an environment API key, layered Docker images for faster incremental deploys, and dozens of server performance improvements.
MCP server gets agent chat, prompt management, and reports
Your coding assistant can now chat with deployed agents, manage prompt versions, query run data with TRQL, and pull health reports for environments.
Introducing chat agent
Every conversation gets its own stateful machine that sticks around, sleeping and waking as needed for the entire chat.
LLM observability, built in
Every LLM call your tasks make is recorded with model, cost, tokens, and latency, viewable in a dashboard and queryable.
SCIM directory sync for SSO
Automatic member provisioning via SCIM: assign in your identity provider to add, unassign to revoke access.
What people actually say about Trigger.dev — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
42 mentions across 3 sources (Hacker News, YouTube, Lemmy) · researched Aug 17, 2026.
- +Open-source with Apache 2.0 license, self-hosting via Docker or K8s
- +Built-in AI features: human-in-the-loop approvals and streaming (Realtime API)
- +No timeouts on tasks, with automatic retries and configurable policies
- +Runs anywhere: Next.js, Bun, Remix, Supabase, Vercel—framework-agnostic
- +Generous free tier and per-second metered pricing, only pay when code runs
- −Complexity can snowball fast and break everything, especially for newcomers
- −Learning curve for durable execution and task orchestration concepts
- −YouTube reviewers note that integrating into an existing production app needs care
- −Pricing at scale can get expensive with many tasks or heavy AI usage
- −Cloud service adds dependency; self-hosting requires Docker/K8s expertise
- • Compute metered per second means costs can grow with high usage; overages on concurrency may apply
- • Self-hosting requires infrastructure maintenance costs (Docker/K8s expertise)
- • Potential extra costs for team features on higher tiers
Viability Score
How well maintained and how widely used is Trigger.dev? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Durable AI agents with human-in-the-loop approval (needsApproval)
- Realtime API for streaming LLM responses to frontends without API routes
- Realtime React hooks for run status and streaming updates
- Stateful chat agent with per-conversation machines that sleep and wake
- Built-in LLM observability: model, cost, tokens, latency per call
- No timeouts—tasks can run indefinitely
- Automatic retries with configurable policies (maxAttempts, backoff, handleError)
- Concurrency and queue management with percentage-based limits
- Durable cron schedules
- Batch triggering up to 1,000 tasks per API call
- Observability dashboard with logging, tracing, advanced filtering, and alerts
- Bulk replay and alerts via email, Slack, and webhooks
- Preview branches and dev/prod environments
- Python script execution with auto package install
- Build extensions for Prisma, Puppeteer, FFmpeg, esbuild, apt-get
About Trigger.dev
Trigger.dev is an open-source TypeScript platform that gives you everything you need to build durable AI agents and background jobs without the usual async-infrastructure headaches. You write plain async code—long-running tasks have no timeouts, automatic retries, and built-in queuing, so you don't have to glue together separate services for reliability. Just deploy your tasks and let Trigger.dev handle the rest. It includes primitives like scheduled tasks (cron), batch triggering (up to 1,000 tasks per call), and a Realtime API with React hooks to stream task status to your frontend. Recent releases add a stateful chat agent, where each conversation gets its own machine that sleeps and wakes as needed, and built-in LLM observability that records model, cost, tokens, and latency for every call. You also get human-in-the-loop approval flows via tools with `needsApproval: true`, support for Python scripts with auto package install, and build extensions for Prisma, Puppeteer, FFmpeg, and apt-get. Trigger.dev is framework-agnostic—works with Next.js, Bun, Remix, and more—and is genuinely open source (Apache 2.0), so you can self-host via Docker or Kubernetes. The cloud service starts free; compute is metered per second, and you only pay when your code runs. Ideal for TypeScript developers building AI workflows, streaming LLM responses, or orchestrating multi-step processes, especially those who want the safety of open source and a self-hostable option.
Behind the Verdict
Trigger.dev fills a clear niche in the background-jobs landscape: it's built for TypeScript teams that need reliable execution of long-running AI tasks, with a strong focus on developer experience and open-source flexibility. The standout features are the durable AI agent primitives—tools with human-in-the-loop approval that pause and resume, a Realtime API that streams responses to your frontend without API routes, and the new stateful chat agent that keeps a per-conversation machine alive across turns. These aren't bolted-on; they're core to the platform, which sets it apart from Temporal or BullMQ that focus on general workflow durability. The pricing model is refreshingly transparent: compute metered per second (starting at $0.0000338/sec on the Small 1x machine) plus a flat $0.000025 per run invocation. That means costs are predictable and often lower than competitors, but high-frequency, low-duration workloads can accumulate faster—if you have millions of tiny runs, the per-run fee adds up. The free tier is a great starting point, but its 1-day log retention and 20 concurrent runs could bite in production. Self-hosting is a genuine option (Apache 2.0, Docker/Kubernetes guide), but you'll manage your own infrastructure. Recent reliability incidents (June 22-23 and June 30, 2026) show the platform is still maturing, so production users should monitor status. Overall, if you're building AI agents in TypeScript, Trigger.dev is a strong, cost-effective choice. If you need advanced workflow orchestration like sagas or compensations, you might find Temporal more mature.
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Real-world workflow fit
Concrete scenarios for the personas Trigger.dev actually fits — and what changes day-one when you adopt it.
You want to handle user queries, sometimes refund orders, and survive server restarts without losing state.
Outcome: With Trigger.dev, you write a chat.agent with tools marked needsApproval, use Realtime React hooks to stream responses, and deploy—the agent retains state across sessions and approvals pause runs, all with no timeouts.
You have Python scripts that need to run on schedules and trigger many tasks at once.
Outcome: You use the Python extension to run scripts, set up durable cron jobs, and batchTrigger up to 1,000 tasks per call, with observability and alerts handling failures in one place.
Your users upload documents and expect a progress bar with streaming status.
Outcome: You call Trigger.dev Realtime API to start a job, use React hooks to update the UI in real time, and stream LLM tokens from your agent directly—no polling or API routes needed.
Use Cases
- Build a durable AI customer support agent with human-in-the-loop approval for sensitive actions.
- Orchestrate multi-step AI workflows like document analysis, summarization, and database updates.
- Run scheduled cron jobs for data syncs, report generation, or maintenance without timeout limits.
- Stream AI responses from backend agents directly to your React frontend using Realtime hooks.
- Automate background email sequences, calendar syncs, and async fan-out tasks after user actions.
- Deploy AI-powered pricing intelligence or fraud detection workflows that run reliably at scale.
- Power a booking engine with AI scans, calendar syncs, and durable fan-out tasks (e.g., Cal.com).
Models Under the Hood
as of 2026-08-19
Limitations
- The free tier limits log retention to 1 day and concurrent runs to 20, which may be restrictive for production workloads.
- Paid plans charge per seat and per usage, and self-hosting requires managing Docker or Kubernetes infrastructure.
- The platform experienced incidents on June 22-23 and June 30, 2026, suggesting it is still maturing in reliability.
as of 2026-08-17
Verification history
We have re-verified Trigger.dev 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Trigger.dev tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers or small teams experimenting with Trigger.dev, needing a free tier with $5 monthly credits and up to 20 concurrent runs.
What this tier adds
Free entry point with 20 concurrent runs, 1-day log retention, and 10 schedules; no charge for DEV runs.
Hobby
$10/mo
Ideal for
Hobbyists and small teams running light production workloads with up to 50 concurrent runs and 100 schedules.
What this tier adds
Adds $10 monthly credits, 50 concurrent runs (vs 20), 7-day log retention, 150 Realtime connections (vs 10), and 5 preview branches.
Pro
$50/mo
Ideal for
Professional teams with higher concurrency needs, wanting dedicated Slack support and longer log retention (30 days).
What this tier adds
Expands to 200+ concurrent runs, 25+ team members, 1000+ schedules, 30-day log retention, and per-usage add-ons—plus AWS PrivateLink.
Enterprise
Custom
Ideal for
Organizations requiring custom log retention, RBAC, SSO, SOC 2 report, and priority support for production-critical AI workloads.
What this tier adds
Adds all Pro features plus RBAC, SSO, SOC 2, penetration test report, and optional HIPAA BAA add-on—with custom pricing.
Where the pricing makes sense
The company stage and team size where Trigger.dev's pricing actually pencils out — and where peers do it cheaper.
Trigger.dev's pricing is compute-based, with metered per-second charges plus a small per-run fee—typically cheaper for long-running AI tasks than Inngest or Temporal's monthly plans. For a startup building AI agents, the free tier with $5 monthly credits and $10 Hobby tier offer a low-risk start, while high-volume workloads need careful run-count tracking.
Setup time & first value
How long it actually takes to get something useful out of Trigger.dev — broken out by persona, not the marketing-page minute.
Get your first task running in under 3 minutes: install the SDK, create a task in src/trigger, and trigger it locally. For more complex scenarios—like configuring build extensions or Python—add 15-30 minutes. Self-hosting takes 1-2 hours if you're familiar with Docker/Kubernetes.
Switching to or from Trigger.dev
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Inngest: Trigger.dev offers a similar task-based model, so you can move your functions over with minor changes to how you define and trigger them.
- →From Temporal: For AI-focused workloads, Trigger.dev's agent primitives simplify migration, though you'll rewrite workflow logic into its task syntax.
- →From a custom cron setup: Replace your cron jobs with Trigger.dev's scheduled tasks, which have no timeouts and built-in retries.
- ↗To Temporal: If you need sagas or complex compensations, export your task logic and implement as Temporal workflows; Trigger.dev's docs don't provide a migration path.
- ↗To BullMQ: For simpler queue-based jobs, you can extract task functions and schedule them with BullMQ, but you'll lose durable execution and human-in-the-loop features.
Integrations
Resources & Guides
- Documentationtrigger.dev
Docs · Trigger.dev
Full product docs from trigger.dev
- Quickstarttrigger.dev
Quick Start · Trigger.dev
Get up and running fast from trigger.dev
- Guidetrigger.dev
Guides · Trigger.dev
In-depth how-to from trigger.dev
- Documentationtrigger.dev
Realtime · Trigger.dev
Full product docs from trigger.dev
- Documentationtrigger.dev
Self Hosting · Trigger.dev
Full product docs from trigger.dev
Tutorials & Learning
Official links
Tools that pair well with Trigger.dev
Common stack mates teams adopt alongside Trigger.dev, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Trigger Dev vs Presto Voice
Trigger.dev is the right choice if you need a flexible, developer-driven platform for building durable AI agents and background jobs in TypeScript, especially if you value open-source and HIPAA compliance. Presto Voice is purpose-built for QSR drive-thru automation with proven upsell capability, but requires a sales engagement. Choose based on your domain: AI workflow automation vs. restaurant voice AI.
Trigger Dev vs Spider Cloud
Choose Trigger.dev if you need to build and orchestrate durable AI agents within your own TypeScript codebase with strong debugging and human-in-the-loop flows. Choose Spider Cloud if your primary need is fast, reliable web scraping at scale for feeding AI models or RAG pipelines. They solve different problems: one focuses on workflow execution, the other on data ingestion.
Trigger Dev vs Temporal Ai
If your stack is TypeScript-heavy and you want an open-source job framework with a managed cloud that has just become HIPAA-ready, Trigger.dev v4.5 is a strong, cost-effective choice. For teams needing multi-language SDKs (Python, Go, etc.), Serverless Workers, and deep integration with OpenAI Agents SDK, Temporal AI offers more mature durable execution with usage-based billing. Choose based on language preference and compliance needs.
Alternatives to Trigger.dev
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