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Gas Town

#75 agent harnessverified Sep 3, 2026v1.2.1

Steve Yegge's open-source multi-agent workspace manager with git-backed issue tracking and a merge queue for Claude Code and others

Key differences

Steve Yegge's open-source multi-agent workspace manager with git-backed issue tracking and a merge queue for Claude Code and others

  • Runs local. Free and MIT-licensed; agents run on your own subscriptions or keys
  • Runs multiple agents. Listed for 165 of 194 tools in this category.

“Issue IDs look like gt-abc12, five alphanumeric characters, because the town is planning for a lot of issues.”

Website Docs 18k starsCompare vs…Dispute a fact
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What it is

Gas Town is a Go orchestration system in which a Mayor agent coordinates a workspace of Polecat worker agents, each with a persistent identity, an ephemeral session and its own git worktree. Work items live in Beads, a git-backed issue tracker, are bundled into Convoys, watched by a three-tier Witness and Deacon watchdog and merged through a Bors-style Refinery queue. Presets cover Claude Code, GitHub Copilot, Codex, Gemini, Cursor, Kiro, Amp, OpenCode and Pi. It is for developers running many agents unattended on one codebase.

Specification

Source verification

Row snapshot checked 2026-09-03. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

pricing
Needs individual review
license
Needs individual review
install
Needs individual review
capabilities
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowunsourced
not documented
Languages
any

Models

Backboneunsourced
via managed agents (Claude Code, GitHub Copilot, Codex, Gemini, Cursor, Kiro, Amp, OpenCode, Pi)
Bring your own model
No
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
No
Git operations
Yes
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelsrc ↗
free
Starts at
$0/mo
Free tier
Yes
Bring your own key
No

Free and MIT-licensed; agents run on your own subscriptions or keys

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
2025-12
multi-agentbeadsmerge-queueworktreesclaude-codegoopen-source

Los Agentes on Gas Town

Who are they?
The ruling
El JuezThe judge

El Hacker and La Jefa are 3.25 points apart, the widest gap on this file: he is reading git hooks, she is reading an install that rewrites sixty shells.

Adopt with conditions
Reasoning and trade-offs · AI analysis

The split is 3.25 points. El Hacker scores it highest: git hooks drive the state machine, so coordination lives in a repository he can diff. La Jefa scores it lowest, no vendor, no SSO, and an install that rewrites each engineer's shell and git configuration. El Crítico agrees on the install and names the exit, the Docker Compose route.

El Hacker wins for one engineer with a backlog; La Jefa is answering for sixty people this tool never addressed. La Inversora's bus factor is noted and overruled: MIT source does not stop working when its author does. Adopt with conditions, the Docker Compose route and a spend cap.

Agree with El Juez?
El AmigoThe friend

Pick Gas Town if you have dozens of small tickets and a subscription you are willing to burn; pick Symphony if your backlog lives in Linear and your agent is Codex.

6.0
Reasoning and trade-offs · AI analysis

Gas Town is the orchestrator for the person who wants to hand a coordinator agent a pile of tickets and come back to merged code. It drives Claude Code by default, with presets for GitHub Copilot, Codex, Gemini, Cursor, Kiro, Amp, OpenCode and Pi, and the trait that decides it is unattended operation: workers run in tmux while you are elsewhere, and the merges happen without you.

You need enough independent work that a human dispatcher is the bottleneck. Pick it if you do and enjoy Steve Yegge's vocabulary. Pick Symphony for a Codex-plus-Linear loop, and Claude Squad if you want to watch every pane.

reliability
5
usefulness
7
cost
6
longevity
6
Agree with El Amigo?
El CríticoThe critic

The prerequisite list is Git 2.20, Go 1.26.2, Beads 0.57, sqlite3, ICU4C headers and tmux 3.0, and the setup command ends in gt doctor --fix; unsandboxed workers follow.

5.3
Reasoning and trade-offs · AI analysis

The failure mode begins at install. The README requires Git 2.20 or newer, Go 1.26.2 or newer, Beads 0.57.0 or newer, sqlite3, the ICU4C development headers and tmux 3.0 or newer, and the documented setup line runs gt doctor --fix before anything works, which is a tool admitting the install will need repair. After that, workers run on the host with no container layer, many at once.

Use the Docker Compose route, which needs only Docker on the host. What it does right: a per-rig Witness detects stuck workers and a background Deacon patrols every rig, so a hung agent is noticed by the system rather than by you.

reliability
4
usefulness
6
cost
5
longevity
6
Agree with El Crítico?
El ProfesorThe professor

Workers have persistent identity and ephemeral sessions, work state lives in a git-backed issue tracker, and merges go through a Bors-style bisecting queue with verification gates.

6.3
Reasoning and trade-offs · AI analysis

The mechanisms are named and documented. 1. Identity: a Polecat worker keeps its identity and history while its session is discarded after each task, so context does not accumulate across jobs. 2. State: work items are Beads, stored in git, bundled into Convoys, so the tracker has the same history as the code. 3. Integration: when a worker finishes with gt done, the Refinery batches merge requests, runs verification gates and merges with Bors-style bisection, isolating the commit that breaks the build.

No benchmark is published. The observation: this is the only orchestrator here whose merge step is a queue rather than a hope.

reliability
7
usefulness
6
cost
5
longevity
7
Agree with El Profesor?
La InversoraThe investor

Steve Yegge's project under Gas Town Hall, MIT, 18,000 stars, no company and no price; the author is the moat, the marketing and the bus factor.

4.8
Reasoning and trade-offs · AI analysis

Gas Town Hall is a GitHub organisation, not a corporation, and the asset is Steve Yegge's name: a known essayist whose posts move engineers, attached to 17,922 stars since a December 2025 release. There is no pricing, no hosted tier and no funding, and the tool consumes other vendors' subscriptions, so the revenue accrues to Anthropic, not to the project.

Moat: the author's audience, which is also the risk when the author's attention moves. Likely outcome: not an acquisition but an inspiration, the Beads and merge-queue ideas reappearing in funded products. Position: read it, borrow from it, do not depend.

reliability
5
usefulness
6
cost
3
longevity
5
Agree with La Inversora?
La JefaThe CTO

Sixty engineers each running a coordinator plus workers on personal subscriptions is sixty rate-limit tickets, and the install rewrites the shell; not yet.

4.3
Reasoning and trade-offs · AI analysis

The demo is a town of agents merging overnight. Procurement: there is no vendor, no seat and no contract, so the cost is the meter, and the design multiplies it, one coordinator plus several workers per engineer against the subscription each already holds. There is no SSO, no central log, and the setup command gt install ~/gt --shell --git modifies the engineer's shell and git configuration, which our endpoint team will ask about.

It does not run in CI. Onboarding is an afternoon for a tmux-literate engineer and longer for the rest. Not yet; one shared deployment with a cost cap, then a pilot of five.

reliability
3
usefulness
5
cost
4
longevity
5
Agree with La Jefa?
El HackerThe tinkerer

MIT Go, go install for gt and bd, git hooks as the propulsion mechanism, presets that include Auggie and OMP, no MCP; every moving part is a file in a repo.

7.5
Reasoning and trade-offs · AI analysis

MIT and Go, installed with go install for both gt and the bd issue tool, so I can build it from a checkout. The part I like is the propulsion principle: git hooks drive the state machine, so coordination is in a repository I can read, diff and roll back rather than in a database I cannot. The preset list goes past the famous names to Auggie and OMP, and adding my own is a config entry.

No MCP and no model setting, since the agents bring both. Forking is go build with a new name. Eccentric, documented, and entirely inspectable.

reliability
7
usefulness
7
cost
9
longevity
7
Agree with El Hacker?