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dagu

dagu

Active·★ 3.4k·GPL-3.0·Updated 2026-05-29

★ Workflow Automation★ Dev Tooling

Lightweight workflow engine built in a single binary with Web UI. Define workflows in a declarative YAML format. Linux, macOS, and Windows. Use your favorite AI agents to manage your workflows.

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.

#agentic-workflow#cron#data-pipeline#devops#durable-execution#durable-workflows#human-in-the-loop#job-scheduler

$ Install

$ curl -fsSL https://raw.githubusercontent.com/dagucloud/dagu/main/scripts/installer.sh | bash

↗ Visit site ★ GitHub

01

Features

01Local-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

02

Compatibility

macOS

macOS

Verified via docs

Linux

Linux

Verified via docs

Windows

Windows

Verified via docs

Docker

Docker Container

Verified via docs

Kubernetes

Kubernetes

Verified via docs

03

Quick start

1

$ curl -fsSL https://raw.githubusercontent.com/dagucloud/dagu/main/scripts/installer.sh | bash

04

Use cases

↳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.

05

Alternatives

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AgentChat★ 728

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

A production-ready framework for composing AI agents from declarative TOML configuration, with MCP tool integration, RAG pipelines, and an OpenAI-compatible web API.

kirby-mcp★ 53

CLI-first MCP server for composer-based Kirby CMS projects — inspect blueprints/templates/plugins, interact with a real Kirby runtime, and use a bundled Kirby knowledge base.

A local-first daemon to unify your AI coding tools. Session tracking and handoffs across Claude Code, Gemini CLI, and Codex. An MCP proxy that discovers tools without flooding context. Task management with dependencies, validation, and TDD expansion. Agent spawning and worktree orchestration. Persistent memory, extensible workflows, and hooks.

See all alternatives →

Related searches

dagu Alternatives Best Workflow Automation Tools 2026 Open Source Workflow Automation dagu Tutorial dagu Vs Competitors agentic-workflow cron data-pipeline

Comments

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onedayMay 24, 2026
用了一段时间，感觉 DAG 调度这块做得很扎实。比 Airflow 轻很多，适合中小规模的工作流。自带 Web UI 也够用，不需要再装额外的监控工具。
day xiaoMay 22, 2026
Really impressed with the simplicity. Set up a multi-step ETL pipeline in under an hour. The YAML-based config is clean and version-control friendly. Only wish it had better retry backoff options.
1
1qwqMay 19, 2026
部署很方便，单个二进制文件搞定。我们内部把它替换掉了 cron + shell 脚本那套方案，稳定多了。

On this page

01Features 02Compatibility 03Quick start 04Use cases 05Alternatives

Stats

GitHub Stars★ 3.4k

Last commit1d ago

StatusActive

LicenseGPL-3.0

CategoryWorkflow Automation

Trend (30d)

+0.1k↑ 2.6%

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