Automation · agent platform
Kestra: review, pricing, security and alternatives
Kestra is an open-source agent platform published by Kestra, in the automation family. Kestra orchestrates YAML-defined workflows across data processing, infrastructure, business processes, and AI agents. Its repository has 29,974 stars and its last commit is from October 23, 2026.
What Kestra does
Kestra belongs to the automation family: platforms, often visual, that chain steps, apps and models into workflows with or without an agent. On our grid it ranks #6 of the 26 projects of this family listed in the directory.
You use it from: web app, API, and terminal (CLI). It can run on your own machine or server.
Who is Kestra for?
It is for teams that want to connect their tools (CRM, e-mail, spreadsheets) and hand the AI the steps that require reading or deciding. Typical tasks people give it:
- qualify incoming requests and route them
- extract data from documents into a spreadsheet
- generate periodic reports
It is a good candidate if you are comfortable in a terminal and your data must stay on your machines.
Access and human control
Its documentation does not detail the access granted to the agent: check the settings before connecting it to your accounts.
We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.
Kestra pricing
The code is free, under the Apache-2.0 licence.
Getting started with Kestra
- Install it by following the repository README (project written in Java).
- Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
- Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
- Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.
Security: risk level
A workflow runs unattended: limit the credentials it holds and log what it sends.
Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.
Project activity and releases
Created on August 24, 2019, the kestra-io/kestra repository has 29,974 stars, 3,471 forks and 538 open issues, with 13,288 commits in total. It received changes this month.
Over the last 52 weeks: 6,057 commits, an average of 116.5 per week.
506 releases in total; 30 in the last twelve months. Latest release: v2.0.7, on October 20, 2026.
Kestra vs other automation
GitHub stars of the best-rated open-source projects in the automation family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.
Kestra and other automation at a glance
The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.
| Agent | Model | Score | Stars or entry price | Self-hostable | Human approval |
|---|---|---|---|---|---|
| Kestra | open source | 80 | 30K ★ | yes | – |
| Langflow | open source | 93 | 156K ★ | yes | – |
| n8n | open source | 85 | 208.5K ★ | yes | – |
| Sim | open source | 85 | 29.9K ★ | yes | – |
| AutoGPT | open source | 84 | 187.7K ★ | yes | – |
| Dify | open source | 83 | 159.4K ★ | yes | – |
| Trigger.dev | open source | 77 | 16.6K ★ | yes | – |
| Activepieces | open source | 74 | 25.2K ★ | yes | – |
How we rated it
Score: 80/100, computed only from public, verifiable data, with no subjective testing or partnership:
- Adoption 30/40: 29,974 stars on a log scale (40 points from about 200,000).
- Activity 30/30: last commit less than a month ago, 30 releases in six months, 6,057 commits in a year.
- Framework 20/30: licence, default human approval, self-hosting, model choice and documentation site.
The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.
Verdict
Kestra is one of the most solid projects in its family: followed, active and well framed.
Strengths
- Widely followed: 30K stars
- Very active development
- Frequent releases (30 in a year)
- Can run on your side: data under control
- Permissive licence (Apache-2.0)
Alternatives
Learn more
Frequently asked questions
Is Kestra free?
The software is free (Apache-2.0 licence). You still pay for the model calls, unless you use a local model.
Is Kestra safe?
Our risk level: low. Give it minimum rights and approve irreversible actions.
Which models does Kestra use?
Its documentation does not specify the supported models.
Can Kestra be installed on your own server?
Yes, from the kestra-io/kestra repository. Data then stays with you, but security and updates are your job.
What are the alternatives to Kestra?
In the same family: Langflow, n8n, Sim, and AutoGPT.
Kestra or Langflow: what is the difference?
Both belong to the automation family. Kestra has 30K stars against 156K for Langflow. The right choice mostly depends on the access you are willing to give it.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score