What technical prerequisites are needed to run Gastown?

You need Go 1.21+ installed to run the gt and bd CLI tools, terminal access, Git configuration, and approximately 100MB of disk space for the local workspace.

What is the main benefit of using Gastown with Claude Code?

Gastown allows you to run multiple AI agents in parallel, significantly speeding up complex development tasks that would otherwise be done sequentially by a single assistant.

What are 'beads' and 'rigs' in the Gastown ecosystem?

A 'rig' represents a project added to the Gastown system, while 'beads' are individual work items or tasks created and assigned to agents ('slinging work') for execution.

How does Gastown handle code merging from different agents?

Gastown includes a specialized component called the Refinery, which manages the pipeline for merging completed work from various agents back into the main codebase.

Gastown Multi-Agent Orchestrator

Name: Gastown Multi-Agent Orchestrator
Author: jeremylongshore

byjeremylongshore

•

896

Productivity & Workflow

Orchestrates parallel AI agent workflows to execute complex coding tasks and manage multi-worker project lifecycles simultaneously.

About

Gastown is a high-performance orchestration layer for Claude Code designed to scale AI-driven development through parallel execution. It organizes work into trackable units called 'beads' and manages a fleet of AI agents—referred to as polecats and crew—to handle concurrent workflows across multiple project 'rigs'. By utilizing the 'Refinery' for automated code merging and providing a comprehensive suite of CLI tools (gt and bd), Gastown transforms Claude Code from a single-task assistant into a coordinated multi-agent engine capable of managing large-scale system implementations and complex refactoring with built-in crash recovery.

Key Features

Granular work tracking using the bead and convoy system
Automated code merging and conflict resolution via the Refinery
Integrated CLI diagnostics (gt/bd doctor) for system health monitoring
Parallel agent execution for simultaneous task processing
Full lifecycle management for AI worker crews and polecats
896 GitHub stars

Use Cases

Orchestrating a team of AI agents to accelerate greenfield project development
Scaling large-scale feature migrations across multiple files simultaneously
Managing complex refactoring tasks that require coordinated parallel updates

About

Key Features

Granular work tracking using the bead and convoy system
Automated code merging and conflict resolution via the Refinery
Integrated CLI diagnostics (gt/bd doctor) for system health monitoring
Parallel agent execution for simultaneous task processing
Full lifecycle management for AI worker crews and polecats
896 GitHub stars

Use Cases

Orchestrating a team of AI agents to accelerate greenfield project development
Scaling large-scale feature migrations across multiple files simultaneously
Managing complex refactoring tasks that require coordinated parallel updates