Understanding Gas Town
This document provides a conceptual overview of Gas Town's architecture, focusing on the role taxonomy and how different agents interact.
Why Gas Town Exists
As AI agents become central to engineering workflows, teams face new challenges:
- Accountability: Who did what? Which agent introduced this bug?
- Quality: Which agents are reliable? Which need tuning?
- Efficiency: How do you route work to the right agent?
- Scale: How do you coordinate agents across repos and teams?
Gas Town is an orchestration layer that treats AI agent work as structured data. Every action is attributed. Every agent has a track record. Every piece of work has provenance. See Why These Features for the full rationale.
Role Taxonomy
Gas Town has several agent types, each with distinct responsibilities and lifecycles.
Infrastructure Roles
These roles manage the Gas Town system itself:
| Role | Description | Lifecycle |
| Mayor | Global coordinator at mayor/ | Singleton, persistent |
| Deacon | Background supervisor daemon (watchdog chain) | Singleton, persistent |
| Witness | Per-rig polecat lifecycle manager | One per rig, persistent |
| Refinery | Per-rig merge queue processor | One per rig, persistent |
Worker Roles
These roles do actual project work:
| Role | Description | Lifecycle |
| Polecat | Ephemeral worker with own worktree | Transient, Witness-managed (details) |
| Crew | Persistent worker with own clone | Long-lived, user-managed |
| Dog | Deacon helper for infrastructure tasks | Ephemeral, Deacon-managed |
Convoys: Tracking Work
A convoy (๐) is how you track batched work in Gas Town. When you kick off work - even a single issue - create a convoy to track it.
# Create a convoy tracking some issues
gt convoy create "Feature X" gt-abc gt-def --notify overseer
# Check progress
gt convoy status hq-cv-abc
# Dashboard of active convoys
gt convoy list
Why convoys matter:
- Single view of "what's in flight"
- Cross-rig tracking (convoy in hq-, issues in gt-, bd-*)
- Auto-notification when work lands
- Historical record of completed work (
gt convoy list --all)
The "swarm" is ephemeral - just the workers currently assigned to a convoy's issues. When issues close, the convoy lands. See Convoys for details.
Crew vs Polecats
Both do project work, but with key differences:
| Aspect | Crew | Polecat |
| Lifecycle | Persistent (user controls) | Transient (Witness controls) |
| Monitoring | None | Witness watches, nudges, recycles |
| Work assignment | Human-directed or self-assigned | Slung via gt sling |
| Git state | Pushes to main directly | Works on branch, Refinery merges |
| Cleanup | Manual | Automatic on completion |
| Identity | <rig>/crew/<name> | <rig>/polecats/<name> |
- Exploratory work
- Long-running projects
- Work requiring human judgment
- Tasks where you want direct control
- Discrete, well-defined tasks
- Batch work (tracked via convoys)
- Parallelizable work
- Work that benefits from supervision
Dogs vs Crew
Dogs are NOT workers. This is a common misconception.| Aspect | Dogs | Crew |
| Owner | Deacon | Human |
| Purpose | Infrastructure tasks | Project work |
| Scope | Narrow, focused utilities | General purpose |
| Lifecycle | Very short (single task) | Long-lived |
| Example | Boot (triages Deacon health) | Joe (fixes bugs, adds features) |
Dogs are the Deacon's helpers for system-level tasks:
- Boot: Triages Deacon health on daemon tick
- Future dogs might handle: log rotation, health checks, etc.
If you need to do work in another rig, use worktrees, not dogs.
Cross-Rig Work Patterns
When a crew member needs to work on another rig:
Option 1: Worktrees (Preferred)
Create a worktree in the target rig:
# gastown/crew/joe needs to fix a beads bug
gt worktree beads
# Creates ~/gt/beads/crew/gastown-joe/
# Identity preserved: BD_ACTOR = gastown/crew/joe
Directory structure:
~/gt/beads/crew/gastown-joe/ # joe from gastown working on beads
~/gt/gastown/crew/beads-wolf/ # wolf from beads working on gastown
Option 2: Dispatch to Local Workers
For work that should be owned by the target rig:
# Create issue in target rig
bd create --prefix beads "Fix authentication bug"
# Create convoy and sling to target rig
gt convoy create "Auth fix" bd-xyz
gt sling bd-xyz beads
When to Use Which
| Scenario | Approach |
| You need to fix something quick | Worktree |
| Work should appear in your CV | Worktree |
| Work should be done by target rig team | Dispatch |
| Infrastructure/system task | Let Deacon handle it |
Directory Structure
~/gt/ Town root
โโโ .beads/ Town-level beads (hq-* prefix, mail)
โโโ mayor/ Mayor config
โ โโโ town.json
โโโ deacon/ Deacon daemon
โ โโโ dogs/ Deacon helpers (NOT workers)
โ โโโ boot/ Health triage dog
โโโ <rig>/ Project container
โโโ config.json Rig identity
โโโ .beads/ โ mayor/rig/.beads (symlink or redirect)
โโโ .repo.git/ Bare repo (shared by worktrees)
โโโ mayor/rig/ Mayor's clone (canonical beads)
โโโ refinery/rig/ Worktree on main
โโโ witness/ No clone (monitors only)
โโโ crew/ Persistent human workspaces
โ โโโ joe/ Local crew member
โ โโโ beads-wolf/ Cross-rig worktree (wolf from beads)
โโโ polecats/ Ephemeral worker worktrees
โโโ Toast/ Individual polecat
Identity and Attribution
All work is attributed to the actor who performed it:
Git commits: Author: gastown/crew/joe <[email protected]>
Beads issues: created_by: gastown/crew/joe
Events: actor: gastown/crew/joe
Identity is preserved even when working cross-rig:
gastown/crew/joeworking in~/gt/beads/crew/gastown-joe/- Commits still attributed to
gastown/crew/joe - Work appears on joe's CV, not beads rig's workers
The Propulsion Principle
All Gas Town agents follow the same core principle:
> If you find something on your hook, YOU RUN IT.
This applies regardless of role. The hook is your assignment. Execute it immediately without waiting for confirmation. Gas Town is a steam engine - agents are pistons.
Model Evaluation and A/B Testing
Gas Town's attribution and work history features enable objective model comparison:
# Deploy different models on similar tasks
gt sling gt-abc gastown --model=claude-sonnet
gt sling gt-def gastown --model=gpt-4
# Compare outcomes
bd stats --actor=gastown/polecats/* --group-by=model
Because every task has completion time, quality signals, and revision count, you can make data-driven decisions about which models to deploy where.
This is particularly valuable for:
- Model selection: Which model handles your codebase best?
- Capability mapping: Claude for architecture, GPT for tests?
- Cost optimization: When is a smaller model sufficient?
Common Mistakes
- Using dogs for user work: Dogs are Deacon infrastructure. Use crew or polecats.
- Confusing crew with polecats: Crew is persistent and human-managed. Polecats are transient and Witness-managed.
- Working in wrong directory: Gas Town uses cwd for identity detection. Stay in your home directory.
- Waiting for confirmation when work is hooked: The hook IS your assignment. Execute immediately.
- Creating worktrees when dispatch is better: If work should be owned by the target rig, dispatch it instead.