Automation
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
★ 47.0k starsApache-2.0
View guide →CodeMachine is an open-source tool that orchestrates AI coding agents into repeatable, long-running workflows. ⚡️
CodeMachine-CLI is an open-source automation project by moazbuilds (moazbuilds/CodeMachine-CLI on GitHub). It has 2,512 GitHub stars and 236 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 25 February 2026.
Link the services you already use through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that.
Branch on conditions, loop over items, or pipe steps through language models.
Turn the workflow on and watch executions in the run history.
Designed to run unattended: triggers, schedules, and webhooks.
Scriptable from the terminal, so it drops straight into existing workflows.
Credentials and execution data stay on your infrastructure.
Prebuilt connectors plus HTTP, webhooks, and database nodes.
Design automations on a canvas instead of writing glue code.
Retries, fallbacks, and alerts when steps fail.
Download the source and move into the project folder.
git clone https://github.com/moazbuilds/CodeMachine-CLI.git
cd CodeMachine-CLIEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at moazbuilds/CodeMachine-CLI with 236 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Docker and a small VPS or home server cover most of these.
Same idea, but self-hosted with no per-task pricing.
Most flows are visual; light expressions help for advanced logic.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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