worktrunkGit worktree manager for parallel AI agent workflows. Use when the user needs to manage multiple working directories for parallel development, create feature branches with isolated environments, or run multiple AI agents concurrently. Covers `vx worktrunk` and `vx wt` commands.
Install via ClawdBot CLI:
clawdbot install loonghao/worktrunkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Oct 9, 2026
A product team runs multiple Claude Code and Codex agents on different feature branches simultaneously. Each agent gets an isolated worktree via `vx wt switch -c -x claude`, eliminating merge conflicts on shared files. When work finishes, `vx wt merge` squash-merges and cleans up worktrees automatically.
An engineer checks out a pull request with `vx wt switch pr:123` to run tests and inspect changes without disturbing their main working directory. Per-worktree dev servers on unique hashed ports let the PR app run alongside the local app. Reviewers can verify CI status with `vx wt list --full` before approving.
A large monorepo team uses `--copy-cache` to share `node_modules/` and `target/` directories across new worktrees, avoiding cold installs. Hooks in `.worktrunk/hooks.toml` auto-run `npm install` post-create. This dramatically shortens branch-switch time in CRA-style workflows.
An AI-native startup launches a fleet of agents working on separate features, each given a task file and isolated worktree. Hooks run tests before merge and LLM-generated commit messages document changes. Human operators only inspect `vx wt list --full` summaries and merge when green.
A boutique dev consultancy manages multiple client repositories with worktrees per engagement, using shared build caches to speed iteration. Per-worktree dev servers let consultants preview multiple client apps at once. Clean merge workflow keeps client branches tidy.
The worktrunk CLI is free and open-source, driving adoption among AI agent users. A paid enterprise tier adds centralized worktree dashboards, team-level hook policies, and audit logs for parallel agent fleets across an organization.
A hosted service provisions and orchestrates worktrees for distributed AI agents, handling branch lifecycle, port assignment, and cache sharing as a managed API. Developers point their agents at the cloud service instead of running locally.
A marketplace sells curated `.worktrunk/hooks.toml` templates, per-worktree dev server configs, and project scaffolds for common stacks. Teams buy pre-built hook packs that auto-install deps, run linters, and enforce pre-merge tests.
💬 Integration Tip
Start by installing via `vx install worktrunk` and try `vx wt switch -c -x claude feat/demo` to validate the workflow; then add `.worktrunk/hooks.toml` and `--copy-cache` to cut cold-install time across worktrees.
Scored Oct 9, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...
AI agent for finance search agent tasks