AI Agents
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Manage parallel AI coding agents on an infinite tmux-backed canvas.
★ 1.9k starsNOASSERTION
View guide →Turn a fresh Ubuntu VPS into a multi-agent dev environment.
agentic_coding_flywheel_setup is an open-source ai agents project by Dicklesworthstone (Dicklesworthstone/agentic_coding_flywheel_setup on GitHub). It has 1,659 GitHub stars and 185 forks, is released under the NOASSERTION license, and was last updated on GitHub on 4 October 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Built for developers who live in the terminal.
Coordinate multi-agent workflows from one place.
Audit the code and adapt it to your workflow.
Runs on macOS and Linux out of the box.
Run several coding agents side by side, not one at a time.
Pause, resume, and inspect agent sessions on demand.
Download the source and move into the project folder.
git clone https://github.com/Dicklesworthstone/agentic_coding_flywheel_setup.git
cd agentic_coding_flywheel_setupAllow the shell scripts to run.
chmod +x *.shExecute the setup script and follow its prompts.
./setup.shIt is an open-source project at Dicklesworthstone/agentic_coding_flywheel_setup with 185 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
Most of these tools work with local models or your own keys; check the README for the default provider.
Yes — parallel sessions are the whole point, each isolated in its own workspace.
Only if you configure a cloud model; local-first setups keep everything on your machine.
Manage parallel AI coding agents on an infinite tmux-backed canvas.
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