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by penberg · Codex Skill · ★ 103
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Swarm Herd your agents, not your terminals. Swarm is a workspace manager for parallel coding agent development, similar to cmux, Superset, and Conductor. Register git repositories, spin up isolated worktrees, and run persistent terminal sessions inside them from a native GTK desktop app or the CLI. Read the announcement blog post for more background. Features Works with any coding agent — run Claude Code, Codex, OpenCode, or any other CLI tool inside a session. Sessions are just terminals, so anything that runs in a shell runs under Swarm. Workspace per feature using git worktrees — every workspace is an isolated git worktree, so parallel agents never share a checkout or step on each other's branches. Fast workspace cloning — branch off an existing workspace into a new worktree and branch in one command. Multi-repository management — register any number of GitHub repositories and manage their workspaces and sessions from one place. Ghostty-backed persistent terminals — sessions are backed by and survive disconnects; detach and reattach from the GUI or CLI without killing the process. Installation Swarm runs on Linux. Install the
| Stars | 103 |
| Forks | 7 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.89578571359/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-17 |
| Created | 2026-04-02 |
| Platforms | claude-code, codex, rust |
| Est. Tokens | ~23k |
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swarm is Manage a swarm of coding agents.. It is categorized as a Codex Skill with 103 GitHub stars.
swarm is primarily written in Rust. It covers topics such as agent, agent-orchestration, claude-code.
You can find installation instructions and usage details in the swarm GitHub repository at github.com/penberg/swarm. The project has 103 stars and 7 forks, indicating an active community.
swarm is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to swarm on Agent Skills Hub include agnix, jat, palot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.