dagu
★ 3.4k
vs
gobby
★ 18
dagu vs gobby
dagu: Dagu is a local-first, self-hosted control plane designed for existing operations automation and AI agent workflows. It allows defining complex pipelines in simple declarative YAML, executing them anywhere with a single binary, and distributing tasks across workers. It comes with a built-in Web UI for debugging and monitoring, eliminating the need for external databases or message brokers.; gobby: Gobby is a local-first daemon that unifies AI coding assistants under one platform. It manages sessions, tasks, context, rules, and worktree orchestration. Features include a task system with dependency graphs and validation gates, an MCP proxy with progressive discovery, session handoffs, declarative rules, and worktree isolation.
01
TL;DR
Choose dagu if…ETL and data operations: Turn data extraction scripts, SQL queries, dbt commands, and data-processing runbooks into observable pipelines.
Choose gobby if…Unify multiple AI coding assistants under a single daemon
02
Side-by-Side Comparison
03
Features
dagu01Local-first and self-hosted with a single binary
02Language-agnostic workflow definition (YAML for shell, Docker, K8s, etc.)
03Built-in Web UI for observability and debugging
04Integrated AI agent support (via MCP server, harness)
05Built-in secret management and human-in-the-loop approvals
gobby01Task system with dependency graphs, TDD expansion, and validation gates
02MCP proxy with progressive discovery to save tokens
03Session handoffs that preserve context across sessions
04Declarative rule engine for enforcing discipline
05Worktree orchestration for parallel agent isolation
04
Use Cases
dagu↳ETL and data operations: Turn data extraction scripts, SQL queries, dbt commands, and data-processing runbooks into observable pipelines.
↳Cron and legacy script management: Transform complex, interdependent jobs into maintainable DAGs with a UI, automatic logging, retries, and notifications.
↳Container and Kubernetes workflows: Run Docker containers and Kubernetes Jobs as steps in workflows without building a custom control plane.
gobby↳Unify multiple AI coding assistants under a single daemon
↳Automate development workflows with task orchestration and pipelines
↳Maintain context and enforce coding rules across sessions and agents
05
Best For
daguWorkflow AutomationDev Tooling
gobbyTrendingWorkflow AutomationMemory & Context
FAQ
FAQ
What is the difference between dagu and gobby?
Both dagu and gobby are in the Workflow Automation category. dagu has 3.4k stars, while gobby has 18 stars.
Which is better, dagu or gobby?
The best choice depends on your use case. Choose dagu if ETL and data operations: Turn data extraction scripts, SQL queries, dbt commands, and data-processing runbooks into observable pipelines., and gobby if Unify multiple AI coding assistants under a single daemon.
Is dagu free or open source?
Yes, dagu is open source on GitHub (GPL-3.0).
Is gobby free or open source?
Yes, gobby is open source on GitHub (NOASSERTION).
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