dify vs trigger.dev

Common questions

What is the difference between dify and trigger.dev?

dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. trigger.dev: Build and deploy fully-managed AI agents and workflows. See the comparison table for live GitHub stats and shared categories.

When should I choose dify over trigger.dev?

Choose dify over trigger.dev when License: dify is Other, trigger.dev is Apache-2.0; Both Trigger.dev and dify provide platforms designed to support the creation of sophisticated agentic workflows, essentially offering competitive solutions for developers looking to deploy AI-driven tasks; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers Data & Retrieval, Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.

When should I choose trigger.dev over dify?

Choose trigger.dev over dify when License: trigger.dev is Apache-2.0, dify is Other; Requirements: Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge.; Both Trigger.dev and dify provide platforms designed to support the creation of sophisticated agentic workflows, essentially offering competitive solutions for developers looking to deploy AI-driven tasks; Tags unique to trigger.dev: ai-agents, background-jobs, orchestration, scheduler; - **Custom Workflows**: If you need to implement complex, custom orchestrations involving different AI tasks that are well-defined and require scalability without managing infrastructure.

When should I avoid dify?

If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.

When should I avoid trigger.dev?

- **Minimal AI Workloads**: If your AI usage is minimal or sporadic, you might find the overhead of setting up tasks using the SDK to be unnecessary complexity. - **Cloud Agnosticism**: Preferring a solution that abstracts away cloud-specific configurations, as Trigger.dev’s focus on cloud-managed services and self-hosting options may require more manual work - **Non-TypeScript Ecosystems**: If your project is predominantly in languages other than TypeScript or JavaScript, the available tooling through SDK might not align closely with existing workflows.

Is dify or trigger.dev more popular on GitHub?

dify has more GitHub stars (156,243 vs 16,347). Stars measure visibility, not whether either tool fits your constraints.

Are dify and trigger.dev open source?

Yes - both are open-source projects on GitHub (dify: Other, trigger.dev: Apache-2.0).

Where can I find alternatives to dify or trigger.dev?

GraphCanon lists graph-backed alternatives at dify alternatives and trigger.dev alternatives (dify markdown twin, trigger.dev markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, dify or trigger.dev?

dify: Very active. trigger.dev: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for dify and trigger.dev?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; trigger.dev trust report.