Recently, I’ve been looking for alternatives to Agent Dynamic Workflow.

Initially, I explored along the Temporal line. Temporal is powerful, but if you just want to dynamically chain agents, scripts, data processing, and operations tasks, sometimes the whole system feels a bit heavy.

Then I came across Dagu, and it felt like the right direction.

It runs as a single binary, workflows are written in YAML, uses local file management, comes with a Web UI, and doesn’t require an additional database or broker.

It also has plenty of built-in actions: shell, Docker, K8s Job, SSH, and more. A pleasant surprise is http://harness.run, which can directly connect an external coding agent CLI into the workflow.

What I like about it is that the workflow itself is a file, and it handles state, logs, retries, dependencies, and interface for you.

For small teams, private environments, personal automation, and agent workflows, Dagu’s local-first approach is actually quite comfortable.

http://github.com/dagucloud/dagu

Northflank — Deploy any project in seconds, in our cloud or yours.

Source: https://northflank.com/ Run sandboxes, AI models, and databases

The deployment platform for serious workloads

Ship AI, services, databases, and jobs, securely. From commit to production and beyond. In your VPC, or ours.

Northflank Platform

Runs on

Northflank Cloud

or

Microsoft Azure

Amazon Web Services

Google Cloud Platform

Bring Your Own Cloud

Trusted by 2,000+start-upsandenterprises

With you at every step

The operating system for your engineering team

Run containers on command

• Run your most critical services, databases, jobs, inference, and agents
• Spin up ephemeral and preview environments from pull requests
• All your production infrastructure
• Connect Git to trigger builds and deploy
• Host workloads on our cloud or yours

We’ve got you covered on all flanks

If you’re building with AI…

• Deploy and scale OSS models like Llama4, Deepseek
• Secure code execution for code-gen
• Long-running agents (MCP, RAG, TTS, image, video, voice)
• VectorDBs like pgvector
• Spot instances
• Import your GPU K8s clusters
• Jupyter notebooks
• Custom autoscaling
• Multi-cloud support
• Fast multi-read-write storage

...you still need these.

• Secrets and config management
• Deploy applications, APIs, databases, and scheduled jobs
• Build and release pipelines
• Preview, staging, and production environments
• Continuous Integration and Continuous Deployment (CI/CD)
• Templates
• Secure multi-tenancy
• Run in your VPC

Works with any stack

Features

Developer experience

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• Choice of UI, CLI, APIs & GitOps
• Runs on AWS, GCP, Azure, Oracle
• Build re-useable templates

Polyglot platform

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• Run any language or framework
• All envs, from preview to production
• Works with GitHub, GitLab and Bitbucket

Run your AI

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• Scale GPUs across clouds
• Run untrusted code at scale
• Serve your inference & models
• Support fractional GPU workloads

We fixed Kubernetes

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• Kubernetes-ready app platform
• Run anywhere, on any Kubernetes cluster, on any cloud
• EKS, GKE, AKS, Rancher, OpenShift, Tanzu ready

End-to-end

A golden path to production

Accelerate every step from push to production with highly configurable self-service workflows, pipelines, templates, and GitOps.

Securely deploy preview, staging, and production environments with observability tooling, backups, restores, and rollbacks included.

Learn moreabout Northflank features (https://northflank.com/features)

Testimonials fromWeights and Polyguard

From the front lines

Northflank helped us scale to over 3M users with an engineering team of two. It allows us to run 10,000 AI training jobs and half a million inference runs per day, without us having to worry about autoscaling or spot instance orchestration.We don’t waste time or money on infrastructure, so we can focus on building product.

JonLuca DeCaro – profile image

Founder @ Weights

We run it better

Flexibility without compromise

Northflank seamlessly integrates with your preferred tooling, and can accommodate any tech stack.

You get the same exceptional developer experience, and total control over your data residency, deployment regions, security, and cloud expenses.

Learn moreabout the Northflank platform (https://northflank.com/features/platform)

Testimonials fromSentry and Writer

Endorsed by infra veterans

Northflank is way easier than gluing a bunch of tools together to spin up apps and databases. It’s the ideal platform to deploy containers in our cloud account, avoiding the brain damage of big cloud and Kubernetes. It’s more powerful and flexible than traditional PaaS – all within our VPC.Northflank has become a go-to way to deploy workloads at Sentry.

David Cramer – profile image

Co-Founder and CPO @ Sentry

K8s should work for you

Kubernetes, unleashed

Northflank leverages Kubernetes as an operating system to give you the best of cloud native, without the overhead.

Deploy to Northflank’s cloud for maximum simplicity, or connect your GKE, EKS, AKS, or bare-metal to deliver a managed platform experience in minutes.

Learn moreabout Northflank in Your Cloud (https://northflank.com/features/bring-your-own-cloud)

Northflank Kubernetes

Built for scale

You’re in good company

Since 2019, teams have used Northflank to run everything from enterprise products to high-scale AI infrastructure. Whether it’s one container or one thousand, Northflank holds the line.

80k+

Developers in production

Run anything. Anywhere.

Deploy in your preferred cloud

In the strict industry of pharmaceutical manufacturing, precision, accuracy, and compliance are non-negotiable. Northflank has empowered our team to maintain complete accountability for every aspect of our software development and deployment, providing us with clear change management, release control and traceability features. The additional flexibility of the platform to make use of Compliant Cloud via BYOC and optional on-prem deployment means that we can meet our customers wherever they may need us.

Bartlomiej Baran – profile image

Bartlomiej Baran

Co-Founder and CTO @ Blynksolve

Making Kubernetes boring