AIエージェント
nodeterm
Manage parallel AI coding agents on an infinite tmux-backed canvas.
★ 1.9k スターNOASSERTION
ガイドを見る →agentic_coding_flywheel_setupは、Dicklesworthstoneが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: Dicklesworthstone/agentic_coding_flywheel_setup）。GitHubスターは1,659、フォークは185で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年10月4日です。
Turn a fresh Ubuntu VPS into a multi-agent dev environment.
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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