Spend time on your product, not workflow orchestration.
DaguCloud gives teams a managed control plane for durable workflows that run in sandbox environments or on your infrastructure at scale.
The Dagu Difference
Keep workflow orchestration separate from business logic. Define workflows declaratively, stay zero-invasive to application code, and get a more capable alternative to cron without taking on Airflow-level complexity.
Become a Solutions Partner
Work with the Dagu team to introduce Dagu to SMBs and institutions that need simpler workflow orchestration. We are looking for partners who can help customers evaluate, adopt, and deploy Dagu in production.
Strong partners can help customers understand where Dagu fits, guide implementation, and support long-term adoption. We are looking for a small number of partners who already work closely with the organizations we want to reach.
Focus Areas
Multitenancy
Scalability
Database-backed persistence
Secret management
Trigger workflows from webhooks and third-party events
Isolated sandbox worker powered by gVisor
One place to coordinate workflows
DaguCloud receives events, starts workflows, and gives your team one place to operate them while each step still runs where it makes sense.
Receive events in one place
Start workflows from GitHub, webhooks, and internal systems without building a separate event layer.
Run steps where they belong
Keep execution on your infrastructure or in gVisor-powered sandboxes, based on what each workflow needs.
Operate from one shared view
See runs, failures, retries, and approvals in one place so teams can respond without losing context.
Common patterns and use cases
DaguCloud fits workflows that start from events, run across systems, and still need clear operational visibility.
Agents and AI pipelines
Coordinate coding agents, AI tools, retries, and follow-up jobs in workflows that need more than a single agent loop.
Humans-in-the-loop
Add approvals, built-in Markdown preview for easier reviewing, and operator handoffs where automation still needs human judgment.
Infrastructure operations
Manage runbooks, run commands on remote hosts over SSH, orchestrate Docker containers, and coordinate Kubernetes jobs without stitching together scripts and cron.
Media conversion pipelines
Orchestrate FFmpeg execution and trigger encoding, rendering, and delivery workflows from uploads, webhooks, or internal events.
Data processing pipelines
Build plumbing between S3, PostgreSQL, SQLite, shell scripts, and other systems in data workflows that need validation, transformation, and delivery steps.
CI/CD automations
Connect GitHub events, build steps, checks, and deployment actions into reliable release workflows.
Need the self-hosted path? Dagu OSS stays available
DaguCloud is the managed cloud platform. Dagu OSS remains the self-hosted engine for teams that want to run the stack themselves and stay closer to the open-source experience.
The self-hosted engine stays available under its own brand
Install, self-host, and extend the open-source engine under /oss, with the current docs, examples, and community flow intact.
Ready to orchestrate with confidence?
Start with a managed instance or explore the open-source engine. Either way, your workflows deserve better operational visibility.