Skip to main content

Local-first orchestrator for AI coding agents — one window over your fleet

Project description

Rubberduck

Rubberduck

One window over every AI coding agent you run.

Launch Claude Code, Codex, or Copilot into isolated git worktrees, watch them work side by side, fork a session into a tree of attempts, and answer their prompts — all from one local dashboard. Your code and keys never leave your machine.

Install · Features · Dashboard · Using it

Works with Claude Code · Codex · GitHub Copilot CLI · any CLI agent


Rubberduck dashboard — Agents, Needs human, and Pulse panels

Install

pipx install rubberduckhq        # pipx keeps it isolated; `pip install` works too
rubberduck serve                 # run the server + dashboard at :4200

Requires Python 3.11+. The package has no Python dependencies — the dashboard and hook script ship inside it. Open http://localhost:4200.

That alone gets you the dashboard and lets you launch agents from it. (Use pipx, a venv, or --user — modern macOS/Linux block pip install into the system Python.)

To watch agents you start yourself

Watching a session you started in your own terminal needs two more things:

  1. System tools the hook usesjq and curl (curl is usually already present):

    brew install jq            # macOS;  apt install jq / dnf install jq on Linux
    
  2. Wire the agent's hooks, then start a fresh session:

    rubberduck install-hooks --global --agent claude-code   # or codex, copilot
    

    Start the agent normally — its sessions now appear in the dashboard.

Codex needs one extra, one-time step: Codex won't run a hook until you trust it. After install-hooks --agent codex, start codex, run /hooks, and trust the Rubberduck hook. (Trust is keyed to the hook script's hash, so re-trust if Rubberduck updates it. Claude Code and Copilot need no trust step.)

Note: launching agents into a terminal, "jump to terminal", and answering prompts by sending keys to a tab use AppleScript and are macOS-only. The dashboard and watching work on any platform.

What it does

🪟 One window over every agent

Stop juggling five terminals. Every running session shows up in one dashboard — what each is doing, which one needs you, and how they relate.

🌿 Isolated git worktrees

Run several agents on the same repo without collisions. Each session can get its own git worktree on its own branch; merge any branch back with a normal git merge. Or run in place when you don't want a branch — your choice per session.

⑂ Fork into a tree of attempts

Fork a running session — the code (a new worktree branch) or just the conversation — and follow the whole lineage as a tree. Try three approaches to the same problem side by side.

🔔 Human in the loop (HITL)

Live state for every session: busy, idle, or waiting on a permission request. The Needs human panel surfaces the sessions waiting on you — answer their prompts from the dashboard for sessions Rubberduck launched, without switching terminals.

📜 Durable history

Every session is kept with its stated intention and an outcome summary, plus checkpoints of prompts, files, and tools. Catch up later without re-reading transcripts.

🔒 Local-first and private

The server runs on 127.0.0.1, gated by a per-install secret so a web page you visit can't drive it. Rubberduck never sees your code or your API keys.

The dashboard

http://localhost:4200 is three columns — your agents, what needs you, and a live pulse of activity (pictured at the top of this page).

  • Agents — every session as a row, forks nested under their parent. A badge marks each watched (you started it) or launched (Rubberduck started it and can drive it); a glyph marks the ones on a git branch. Click a row for its detail drawer — timeline, diff, live output, checkpoints, and inline notes.
  • Needs human — the human-in-the-loop (HITL) panel: sessions waiting on a permission request, with inline Approve/Deny for the ones Rubberduck can reach.
  • Pulse — a live ticker of the latest action across every agent.

Using it

Two commands: install-hooks runs once per machine (it persists across reboots), and serve runs whenever you want Rubberduck active.

Claude Code

rubberduck install-hooks --global
rubberduck serve

Start claude as usual — sessions appear automatically. The richest integration: hook events plus the JSONL transcript.

Codex

rubberduck install-hooks --agent codex --global
rubberduck serve

One extra step: Codex won't run a hook until you trust it. Start codex, run /hooks, and trust the Rubberduck hook (re-trust if Rubberduck later updates the hook script). Use --global — Codex's repo-local hooks are unreliable upstream.

GitHub Copilot CLI

rubberduck install-hooks --agent copilot --global
rubberduck serve

Start copilot as usual — sessions appear automatically, no extra steps.

Bring your own agent

Any CLI agent works through the launch path: click New session in the dashboard, point it at a command and a folder. Rubberduck spawns it in a terminal tab and supervises the process directly — no hooks needed. State is read from the agent's terminal output, so it's coarser than the hook integrations above, but it works for anything.

Two kinds of session

  • Watched — you start the agent in your own terminal; its hooks report to Rubberduck. Rubberduck observes but doesn't own the process, so you drive it and answer its prompts in your terminal.
  • Launched — you click New session; Rubberduck opens a terminal tab, runs the agent, and owns the process — so you can drive it and answer permission requests from the dashboard.

State lives in ~/.rubberduck/ (override with RUBBERDUCK_HOME).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rubberduckhq-0.3.2.tar.gz (140.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rubberduckhq-0.3.2-py3-none-any.whl (151.1 kB view details)

Uploaded Python 3

File details

Details for the file rubberduckhq-0.3.2.tar.gz.

File metadata

  • Download URL: rubberduckhq-0.3.2.tar.gz
  • Upload date:
  • Size: 140.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.4

File hashes

Hashes for rubberduckhq-0.3.2.tar.gz
Algorithm Hash digest
SHA256 b21a6803734308eb7a7809c910831ca65df1aee6116e055dea4e3434f02ad9e3
MD5 9bc36add31b75c6ef72b8ee672f17f65
BLAKE2b-256 e1c3ef33da41a2f8fb1af50158f759cb0edae8833649b650dc0390cdd4c34902

See more details on using hashes here.

File details

Details for the file rubberduckhq-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: rubberduckhq-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 151.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.4

File hashes

Hashes for rubberduckhq-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3e7617d32c1e93da8d52624511aede9605f963b28a8ca69acca6c470ea1a243b
MD5 89cdd0f6aed2e842867882396fa41a98
BLAKE2b-256 752d5ff8b300ed5be4622d08215e122d4c757769cb942e39ddfd7304eff691f4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page