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dagu vs totem
dagu logo
dagu
★ 3.4k
vs
totem logo
totem
★ 13

dagu vs totem

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.; totem: Totem is a set of CLI tools that provides persistent memory and enforcement layer for AI agents. It uses deterministic hooks to remember lessons the AI forgets, catching architectural mistakes before they become permanent. Totem runs entirely offline and completes linting in under 2 seconds.

01

TL;DR

dagu logoChoose dagu if…

ETL and data operations: Turn data extraction scripts, SQL queries, dbt commands, and data-processing runbooks into observable pipelines.

totem logoChoose totem if…

Prevent AI agents from repeating architectural mistakes

02

Side-by-Side Comparison

Field
dagu logodagu
totem logototem
Category
Workflow Automation
Memory & Context
Stars
★ 3.4k
★ 13
License
GPL-3.0
Apache-2.0
Updated
1d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agentic-workflow, cron, data-pipeline
ai-agents, ast-grep, cli
03

Features

dagu logodagu
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
totem logototem
01Offline linting in under 2 seconds
02Convert plain-English lessons into enforceable rules
03Git hooks for pre-push enforcement
04Cross-repo semantic memory via local knowledge base
05MCP server for agent context retrieval
04

Use Cases

dagu logodagu
↳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.
totem logototem
↳Prevent AI agents from repeating architectural mistakes
↳Enforce project-specific coding conventions and lessons
↳Provide persistent context to AI agents across sessions
05

Best For

dagu logodagu
Workflow AutomationDev Tooling
totem logototem
TrendingMemory & ContextDev Tooling
FAQ

FAQ

What is the difference between dagu and totem?
Both dagu and totem are in the Workflow Automation category. dagu has 3.4k stars, while totem has 13 stars.
Which is better, dagu or totem?
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 totem if Prevent AI agents from repeating architectural mistakes.
Is dagu free or open source?
Yes, dagu is open source on GitHub (GPL-3.0).
Is totem free or open source?
Yes, totem is open source on GitHub (Apache-2.0).
→

Related

Alternatives to dagu →Alternatives to totem →dagu details →totem details →
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