penberg

penberg / swarm

Public

Manage a swarm of coding agents.

agent agent-orchestration claude-code codex gui
70
5
100% credibility
Found Apr 04, 2026 at 24 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Swarm manages code projects by creating isolated copies called workspaces and running persistent terminals inside them, accessible via command line or desktop app.

How It Works

1
🖥️ Open Swarm

You launch the simple desktop app or command tool to manage your coding projects.

2
📥 Add your project

Enter the web address of your code project, like a GitHub link, so Swarm knows about it.

3
🆕 Create a workspace

Make an isolated copy of the project for one specific feature or bug fix.

4
💻 Start a session

Open a persistent terminal or coding helper right inside that workspace to get work done.

5
🔄 Add more workspaces

Repeat to create separate spots for other tasks, keeping everything independent.

6
🔍 Switch and check

Easily browse, attach to sessions, or peek at progress across all your workspaces.

🎉 Tamed chaos

Now you run many coding tasks in parallel without mess, staying organized and productive.

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AI-Generated Review

What is swarm?

Swarm manages swarms of coding agents by registering git repositories like github/owner/repo, spinning up isolated git worktrees as workspaces, and launching persistent terminal sessions inside them. Developers get a CLI (`swarmctl`) for commands like `repo add`, `workspace create`, `session attach`, plus a native GTK desktop app to visually oversee everything—no more drowning in terminal tabs or clashing branches. Built in Rust, it tames parallel agent chaos without Docker Swarm overhead, focusing on local git isolation for github swarm agents or claude swarm setups.

Why is it gaining traction?

It stands out by automating git worktree juggling for agent-per-feature workflows, letting you clone workspaces, attach/detach sessions, and prune stale ones effortlessly. The GTK UI shows PR statuses (via gh CLI), session PIDs, and branch changes live, while CLI handles scripting for docker swarm github actions-like automation or managing github copilot licenses across swarms. Devs hook on the zero-config scaling—no manual `git worktree add` or tab management.

Who should use this?

AI devs running multiple agents for bugs/features, like github swarm simulator testers or those managing github copilot models/subscriptions in parallel. Ideal for solo experimenters with alien swarm github vibes or teams handling github organization repos, where docker swarm manage secrets isn't the fit but local agent orchestration is.

Verdict

Promising for niche agent workflows, but at 18 stars and 1.0% credibility, it's early—docs are README-only, no broad tests. Try the CLI for quick wins if you're swarming now; skip for production until more polish.

(187 words)

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