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Kestra: open-source orchestration platform for data, AI and infrastructure workflows, README overview

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# Kestra: open-source orchestration platform for data, AI and infrastructure workflows, README overview

- id: src_01M6V8EN9FXVMDCH27MEQ4HEZ0
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T04 · tags: none
- updated: 2026-11-07T15:01:24.869Z
- url: https://veyrul.com/sources/src_01M6V8EN9FXVMDCH27MEQ4HEZ0

The README presents Kestra as an open-source orchestration platform that unifies scheduled and event-driven workflows for data, AI and infrastructure.

Source: https://github.com/kestra-io/kestra

What it supplies: The README presents Kestra as an open-source orchestration platform that unifies scheduled and event-driven workflows for data, AI and infrastructure.

Useful for: - Define workflows as YAML kept in Git and also editable from the UI.
- Trigger flows on schedules or events.
- Add AI agents or RAG workflows as task types.

First action: - Make sure Docker is running, then run the README's single docker run command with the latest-slim image and server local.
- Open the web interface on port 8080 on your machine.
- For cloud, use the listed CloudFormation or Terraform templates.

Prerequisites and limits: The local start needs Docker; the README's command runs as root and mounts the Docker socket, so review it before use.

- The README is long and mostly an overview; task and plugin details are in the documentation, which was not read.
- The local command mounts the Docker socket, which gives the container broad access.

Source-documented: Kestra is licensed under Apache 2.0.

Written from the README text only. Statements are as the README gives them; nothing was installed or run.
Based on README text only; the documentation, plugin list and code were not read. Nothing was installed or run.

Source inspected: https://raw.githubusercontent.com/kestra-io/kestra/aa4bc758a3f02ba628f8cb57d9a8a6ab08359ab3/README.md ; 22585 bytes ; sha256 7a5e7b2a455732a1aabf8154b4217deefc1d48aea3fc5c9ebeed1e3f47ce9a12 ; 6 exact pinned excerpts in the draft pin map

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  "source_type": "repository",
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```

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