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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.

Open sourceSelf-hostableActively maintainedLow risk

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.

Run commands in a terminalRun commands in a terminal : 8 %8 %Read and edit filesRead and edit files : 15 %15 %Drive a web browserDrive a web browser : 12 %12 %Call online services and APIsCall online services and APIs : 31 %31 %Read and send messagesRead and send messages : 15 %15 %Control the screen, keyboard and mControl the screen, keyboard and m : 4 %4 %
Share of the 26 agents in the family that have each access, according to their documentation. In orange, Kestra's access.

Kestra pricing

The code is free, under the Apache-2.0 licence.

Getting started with Kestra

  1. Install it by following the repository README (project written in Java).
  2. Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
  3. 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.
  4. 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.

Nov 2, : 138 · Nov 2, 2025Nov 2,Nov 9, : 134 · Nov 9, 2025Nov 16, : 88 · Nov 16, 2025Nov 23, : 99 · Nov 23, 2025Nov 30, : 112 · Nov 30, 2025Dec 7, : 127 · Dec 7, 2025Dec 14, : 119 · Dec 14, 2025Dec 21, : 83 · Dec 21, 2025Dec 28, : 57 · Dec 28, 2025Dec 28,Jan 4, : 59 · Jan 4, 2026Jan 11, : 103 · Jan 11, 2026Jan 18, : 90 · Jan 18, 2026Jan 25, : 61 · Jan 25, 2026Feb 1, : 66 · Feb 1, 2026Feb 8, : 88 · Feb 8, 2026Feb 15, : 116 · Feb 15, 2026Feb 22, : 88 · Feb 22, 2026Feb 22,Mar 1, : 91 · Mar 1, 2026Mar 8, : 101 · Mar 8, 2026Mar 15, : 102 · Mar 15, 2026Mar 22, : 97 · Mar 22, 2026Mar 29, : 95 · Mar 29, 2026Apr 5, : 87 · Apr 5, 2026Apr 12, : 90 · Apr 12, 2026Apr 19, : 103 · Apr 19, 2026Apr 19,Apr 26, : 69 · Apr 26, 2026May 3, : 59 · May 3, 2026May 10, : 96 · May 10, 2026May 17, : 46 · May 17, 2026May 24, : 59 · May 24, 2026May 31, : 142 · May 31, 2026Jun 7, : 159 · Jun 7, 2026Jun 14, : 117 · Jun 14, 2026Jun 14,Jun 21, : 142 · Jun 21, 2026Jun 28, : 108 · Jun 28, 2026Jul 5, : 126 · Jul 5, 2026Jul 12, : 101 · Jul 12, 2026Jul 19, : 95 · Jul 19, 2026Jul 26, : 128 · Jul 26, 2026Aug 2, : 138 · Aug 2, 2026Aug 9, : 92 · Aug 9, 2026Aug 9,Aug 16, : 157 · Aug 16, 2026Aug 23, : 104 · Aug 23, 2026Aug 30, : 180 · Aug 30, 2026Sep 6, : 155 · Sep 6, 2026Sep 13, : 138 · Sep 13, 2026Sep 20, : 168 · Sep 20, 2026Sep 27, : 128 · Sep 27, 2026Oct 4, : 160 · Oct 4, 2026Oct 4,Oct 11, : 215 · Oct 11, 2026Oct 18, : 269 · Oct 18, 2026Oct 25, : 312 · Oct 25, 2026Oct 25,
Commits per week on the main repository, last 52 weeks (GitHub API, checked October 25, 2026).

506 releases in total; 30 in the last twelve months. Latest release: v2.0.7, on October 20, 2026.

v1.3.36 · Sep 1, 2026v1.3.36Sep 1, 2026v1.0.58 · Sep 1, 2026v1.3.37 · Sep 2, 2026v1.0.59 · Sep 2, 2026v2.0.0 · Sep 7, 2026v1.3.38 · Sep 8, 2026v1.0.60 · Sep 8, 2026v2.0.1 · Sep 11, 2026v2.0.2 · Sep 15, 2026v1.3.39 · Sep 15, 2026v2.0.3 · Sep 22, 2026v1.3.40 · Sep 22, 2026v2.0.4 · Sep 29, 2026v1.3.41 · Sep 29, 2026v2.0.5 · Oct 5, 2026v1.3.42 · Oct 5, 2026v2.0.6 · Oct 13, 2026v1.3.43 · Oct 13, 2026v2.0.7 · Oct 20, 2026v1.3.44 · Oct 20, 2026v1.3.44Oct 20, 2026
The latest 20 releases published on GitHub (hover a point for details).

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.

LangflowLangflow : 156K156Kn8nn8n : 208.5K208.5KSimSim : 29.9K29.9KAutoGPTAutoGPT : 187.7K187.7KDifyDify : 159.4K159.4KKestraKestra : 30K30KTrigger.devTrigger.dev : 16.6K16.6KActivepiecesActivepieces : 25.2K25.2K
Log scale; Kestra in orange. Checked October 25, 2026.

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.

Quick comparison: automation
AgentModelScoreStars or entry priceSelf-hostableHuman approval
Kestraopen source8030K ★yes–
Langflowopen source93156K ★yes–
n8nopen source85208.5K ★yes–
Simopen source8529.9K ★yes–
AutoGPTopen source84187.7K ★yes–
Difyopen source83159.4K ★yes–
Trigger.devopen source7716.6K ★yes–
Activepiecesopen source7425.2K ★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)

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