Trigger.dev — Build durable AI agents and long-running workflows with TypeScript, handling retries, queues, and scaling.
Analyzed by Sai Pavan Gopularam · AI · Workflow Automation · View on GitHub
- Stars: 16262
- Forks: 1449
- Commits last 30 days: 100
- Health: Active (100 commits this month)
- Language: TypeScript
- License: Apache-2.0
What It Is
Imagine a super-reliable post office for your AI tasks. Trigger.dev lets you write long-running AI agents and workflows in TypeScript, ensuring they complete their jobs even if things go wrong, like a letter always reaching its destination.
It solves the common problems of AI tasks timing out, failing silently, or needing complex infrastructure to manage. Founders can focus on building their AI logic, knowing Trigger.dev handles the underlying reliability, scaling, and observability.
License Verdict
Apache 2.0 License — Build and Sell Freely — Commercial Use Approved • Patents Granted • No Copyleft
The Apache 2.0 license permits you to use, modify, and distribute this software for any purpose, including commercial. You can build proprietary products on top of it without needing to open-source your own code. It also grants patent rights, offering protection for your contributions.
How to Use It
Trigger.dev is designed for both cloud-hosted and self-hosted deployments. The quickest way to get started is via their web app, which guides you through creating a project and deploying your first task in minutes. For self-hosting, Docker Compose or Kubernetes options are available.
Prerequisites:
- Node.js 18+
- npm
- TypeScript
- Docker (for self-hosting)
Estimated setup time: 10 minutes.
mkdir my-agent-app && cd my-agent-app
npm init -y
npm install @trigger.dev/sdk
# Follow Trigger.dev's quickstart guide to define and run your first taskWhat I'd Build With This
Automated Lead Qualification Service (micro-saas)
Develop a service that takes raw lead data (e.g., from web forms, CSVs) and uses AI to qualify them based on custom criteria. Trigger.dev ensures the long-running AI processes complete, handles retries for API failures, and queues large batches. Businesses needing better lead prioritization would pay for this. Market on LinkedIn and AI/SaaS communities.
Effort: 1 Week Build Time · Target: B2B Sales Teams · Pricing: $99/mo per 1000 leads
AI-Powered Content Moderation Platform (saas)
Build a platform that monitors user-generated content (images, text, video) across various channels. Use AI models to detect violations and Trigger.dev's human-in-the-loop feature for manual review of flagged content. The platform handles high-volume processing, ensures durability, and provides full observability for compliance. Target online communities, social media platforms, and e-commerce sites.
Effort: 2 Months Build Time · Target: Online Community Platforms · Pricing: $499/mo + usage
Intelligent Document Processing & Automation (enterprise)
Offer a custom solution for large enterprises to automate the extraction, classification, and routing of information from complex documents (invoices, contracts, reports). Trigger.dev's ability to run custom scripts (Python, FFmpeg) and handle long-running tasks allows for robust OCR, NLP, and integration with existing ERP/CRM systems. Sell directly to enterprise IT departments and business process owners.
Effort: 6 Months Build Time · Target: Large Enterprises (Finance, Legal) · Pricing: $10,000+/mo, custom contracts
Sai Pavan Gopularam's Take
Trigger.dev is a solid infrastructure play for anyone building durable AI agents. The focus on long-running tasks and observability kills a lot of headaches I've had with serverless functions. I'd estimate a simple AI workflow product built on this could fetch $500/month from small businesses easily.
Watch Out For
- Cloud Dependency / Vendor Lock-in: While self-hosting is available, the quickest and most feature-rich experience is with Trigger.dev's managed cloud. This creates a dependency on their platform for critical workflow orchestration.
- TypeScript Ecosystem: The SDK is built for JavaScript/TypeScript, meaning teams primarily working in other languages might face a learning curve or need to wrap their non-TS logic. Integration with other runtimes is possible but requires more setup.
- Self-Hosting Complexity: Deploying and maintaining Trigger.dev on your own infrastructure (Docker, Kubernetes) demands significant DevOps expertise. This adds substantial operational overhead compared to using their managed service.
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