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Create, manage, and run YAML-defined DAG workflows locally for small teams.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dagu" yet — see the docs or source repo.
Generate a YAML workflow for dagu that runs daily at 2 AM to fetch sales data, clean CSV files, generate a summary report, and log errors if any step fails.
A dagu-ready YAML DAG configuration with scheduling, task steps, and failure handling.
Review my current dagu workflow configuration, identify tasks with long runtimes or problematic dependencies, and provide an optimized YAML example.
An analysis of issues in the current DAG and an improved, more efficient YAML configuration.
Provide a local deployment plan for dagu, including installation steps, Web UI access, recommended directory structure, and usage guidelines for a five-person team.
A clear deployment and collaboration plan to help a team quickly adopt and use dagu effectively.
Turn goals into task DAGs and orchestrate TypeScript-native multi-agent workflows.
Create, delegate, and track tasks for AI agents.
Build self-hosted visual AI workflows with agents, RAG, HITL, and observability.
Ingest and semantically search local documents, chunks, and code blocks.
Provision stealth browsers, scrape pages, and monitor DAWG account usage remotely.
Orchestrate parallel AI agent workflows with dmux for faster development execution.