Skip to main content

Manage parallel Gemini CLI instances

Project description

🔷 Gemini-Worktree

Run multiple Gemini Code instances in parallel without stepping on each other. This CLI creates isolated git worktrees for each Gemini session, so you can work on different features simultaneously while keeping your main branch clean.

This is a fork of claude-wt that works with Gemini instead of Claude. Inspired by Jeremiah Lowin.

🚀 Quick Start

Jump right in without installing anything:

uvx gemini-wt new

That's it. You're now working in a clean branch where Gemini can't mess up your pristine codebase.

Installation Options

If you prefer global installation:

uv tool install gemini-wt

🎯 Commands

✨ Start Fresh: new

Spin up a new isolated Gemini session:

uvx gemini-wt new

Behind the scenes: creates a timestamp branch, sets up a worktree in .gemini/worktrees/, and launches Gemini in the isolated environment.

Want a memorable branch name? Use --name:

uvx gemini-wt new --name parser-fix

Need to branch from a specific source? Use --branch:

uvx gemini-wt new --branch main --name hotfix-123

🔄 Pick Up Where You Left Off: resume

Gemini sessions are like good TV shows—you want to continue watching:

uvx gemini-wt resume 20241201-143022 (your the branch name)

The session ID is shown when you create it.

📋 See What's Running: list

See all your active worktrees:

uvx gemini-wt list

Shows each session with its health status.

🧹 Clean Up: clean

Remove a specific session when you're done:

uvx gemini-wt clean 20241201-143022

Or clean everything:

uvx gemini-wt clean --all  # The Marie Kondo approach

🔧 How It Works

Think of it like having multiple parallel universes for your code:

  1. Branch Creation → Each session gets its own branch (gemini-{timestamp} or your custom name)
  2. Worktree Setup → Creates a separate directory in .gemini/worktrees/ so files don't conflict
  3. Gemini Launch → Starts Gemini in the isolated environment with full repo access
  4. Session Management → Resume, list, and clean up sessions effortlessly

🎁 Why You'll Love This

  • Fear-Free Experimentation → Gemini can't break your main branch even if it tries
  • Mental Clarity → No more "did I commit that test code?" anxiety
  • Context Switching → Jump between different Gemini conversations effortlessly
  • Easy Cleanup → One command to remove all experimental branches
  • Clean History → Your main branch stays pristine for serious work

📋 What You Need

  • Python 3.12+
  • Git with worktree support (any recent version)
  • Gemini CLI (installed and authenticated)

🛠️ Development

Uses uv for dependency management:

uv sync
uv run gemini-wt --help

Or test changes without installing:

uvx --from . gemini-wt --help

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

gemini_wt-0.1.2.tar.gz (15.6 kB view details)

Uploaded Source

Built Distribution

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

gemini_wt-0.1.2-py3-none-any.whl (6.5 kB view details)

Uploaded Python 3

File details

Details for the file gemini_wt-0.1.2.tar.gz.

File metadata

  • Download URL: gemini_wt-0.1.2.tar.gz
  • Upload date:
  • Size: 15.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.8.3

File hashes

Hashes for gemini_wt-0.1.2.tar.gz
Algorithm Hash digest
SHA256 4a2959956e754ead8c052cc9d4d67380808298bb634d816e6878bc2801c3d8e9
MD5 00ad8a8eef1ac217406b905ff32b40ab
BLAKE2b-256 b5ca29da09f8ef6823cbd7e2e3b914dfa6698ff3ae8115b7a94fe4c373d80bf3

See more details on using hashes here.

File details

Details for the file gemini_wt-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: gemini_wt-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 6.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.8.3

File hashes

Hashes for gemini_wt-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f13e1b07485b8db2d1237c5c012736e52d8278bcbd17ed49b46024589405566f
MD5 ac29a98639150f54c48a0749a5b10273
BLAKE2b-256 b9f46ebafbc72f8a86aa097577711ec6887d8f07107dae93af111ab2f5ac8e96

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