firstmate README

The project's README from github.com/kunchenguid/firstmate. As one markdown file: README.md.

firstmate

Platform X Discord

Talk to one agent. Ship with a crew.

firstmate - talk to one agent, ship with a crew

What it is

You can run one coding agent easily. But the moment you want three project tasks done in parallel - fixes, investigations, plans, audits - you become a tab-juggler: babysitting sessions, copy-pasting context between repos, forgetting which terminal had the failing test.

firstmate flips the model. You talk to a single agent - the first mate - and it runs the crew for you: spawning autonomous agents in a visible session backend, giving each a clean git worktree, supervising them to completion, and handing you finished PRs, approved local merges, or standalone investigation reports. For larger fleets, you can opt in to persistent secondmates: second mates that are still ordinary direct reports, but run from their own isolated firstmate homes on this machine or another SSH-reachable host.

firstmate is not a model, not a harness, not a skill, not an MCP server, and not a CLI. firstmate is an agent distro for running a crew of agents. An agent distro is a portable directory of instructions, skills, tooling, policies, and state conventions that turns a general-purpose agent into a specialized one. There is no app to install: the cloned repo is the distro - AGENTS.md, bundled firstmate skills, and helper scripts that any terminal coding agent can follow. Launching a supported harness inside it for your primary session instantiates your first mate - and makes you the captain.

Features

Full detail on every feature lives in docs/architecture.md.

Quick Start

Requirements

The first mate detects and offers to install supported missing tools after you approve. Backend-specific setup is linked in Documentation.

Claude Code, Grok, and Pi are equal co-primary recommendations for running the primary firstmate session, with pi-signed supported as Pi's distinct signed-wrapper identity. Claude Code uses a tracked Stop hook for tokenless watcher re-arm and rewake, Grok uses background-notify wake cycles, and Pi uses its tracked primary watcher extension. All three have verified turn-end guard paths when launched with their documented setup. Pick whichever one matches your subscription and workflow.

Oh My Pi (omp), a Pi fork, is verified as a primary with the same extension-owned watcher model as Pi and a stronger turn-end guard: its blocking session_stop hook compels a continuation instead of requesting one. Codex and OpenCode are also verified and supported as primary harnesses; Codex uses bounded foreground checkpoints, and OpenCode uses a TUI plugin, so both carry more harness-specific supervision tradeoffs than the three co-primaries. Cursor Agent CLI is verified as a primary too, using a tracked project-scope .cursor/hooks.json whose stop hook parks on the watcher between turns, closest in shape to Claude Code's. Launch it with --trust, or none of its project hooks load; it also has no turn-end hook in headless cursor-agent -p, so run the primary session interactively.

Install and launch

gh auth login
git clone https://github.com/kunchenguid/firstmate
cd firstmate

Then launch one of the co-primary harnesses; AGENTS.md takes over from there:

Claude Code

claude

Grok

grok --trust

Pi

pi
# or, when the signed wrapper is installed
FM_PI_HARNESS=pi-signed pi-signed

Oh My Pi

omp
# or, when starting from inside a Claude Code pane
FM_OMP_HARNESS=omp omp

Start omp with this checkout as its working directory: it auto-discovers the tracked .omp/extensions/*.ts files with no trust dialog, and naming them with -e as well would load each twice.

For Grok, --trust is needed once per clone so project hooks and the turn-end guard load; /hooks-trust inside Grok works too. For Pi, approve the project trust prompt once per clone on first launch so the tracked .pi/extensions/*.ts files auto-load. Pi's /calm toggle hides supported transcript chrome, including canonically classified Firstmate operational user rows, and uses a Calm-only animated working boat during active runs while preserving all model context and session data. Those Calm-hidden operational inputs remain ordinary user-role messages with unchanged delivery, ordering, authority, persistence, and exports. The preference persists for the effective Firstmate home, and toggling it off restores ordinary rendering. Calm's current behavior and supported limits are separate from its version-scoped maintainer evidence. Pi's /supervision-model command pins a cheaper model and a shallower reasoning effort for the supervision branch alone, from the eligible models and thinking levels Pi itself reports, and with no pin the branch normally follows your own conversation's model and effort; see the configuration schema.

Talk to it

> ahoy! look at my github project xyz, then fix the flaky login test and add dark mode

# firstmate checks its toolchain (asking your consent before installing anything),
# clones the project under projects/ and spawns two isolated workers in the active backend.
# Minutes later:

  PR ready for review, captain: https://github.com/you/xyz/pull/42
  (fix flaky login test - risk: low - CI green)

> alright merge it

More backends

Setup guides for tmux (the default) and every other supported backend (herdr, zellij, Orca, cmux) are linked in Documentation below.

How It Works

            you (the captain)
                  │  chat: requests, decisions, "merge it"
                  ▼
 ┌─────────────────────────────────────┐
 │ firstmate            (this repo)    │
 │ reads projects/ + firstmate routes  │
 │ writes guarded backlog/briefs/state │
 └──┬──────────────┬───────────────┬───┘
    │ backend sends / status files │
    ▼              ▼               ▼
 ┌────────┐   ┌────────┐      ┌────────┐
 │fm-task1│   │fm-task2│  ... │fm-taskN│   tmux windows, herdr/zellij tabs, cmux workspaces, or Orca terminals
 │crewmate│   │crewmate│      │crewmate│   one autonomous agent each
 └───┬────┘   └───┬────┘      └───┬────┘
     ▼            ▼               ▼
  treehouse worktree, Orca worktree, or isolated secondmate home
     │
     ├─ ship: project mode ► PR/local merge ► teardown
     │
     └─ scout: report at data/<id>/report.md ► decision inventory ► relay findings ► teardown

You chat with the first mate. It routes each request to a crewmate in its own session endpoint and git worktree, supervises the fleet with a zero-token event-driven watcher, and brings you finished PRs, approved local merges, or investigation reports. Optional secondmates extend this to persistent local or whole-home remote second mates, dispatch profiles let you steer which harness handles which task, and opt-in Relay lets the same fleet answer public mentions. codex-app is not a runtime backend yet; docs/codex-app-backend.md owns the Codex App boundary.

Full architecture - the supervision engine, worktree isolation, secondmates, dispatch profiles, project modes, optional Relay, fleet sync, and self-update - is in docs/architecture.md.

Built-in skills

Firstmate ships these user-invocable built-in skills. Claude and grok use the slash form shown here; codex uses the same names with $, such as $afk.

Skill What it does
/afk Enter away-mode supervision: the sub-supervisor self-handles routine notifications in bash, escalates captain-relevant events and bounded declared-external-wait rechecks as batched digests, and actively alerts if delivery gets stuck while you step away
/ahoy Recap visible session events since the prior real captain message plus visibly unanswered captain decisions, then guide the captain through any open decisions one at a time in agent-judged impact order; fall back to Bearings when invoked as the session's first real captain message
/bearings Generate a concise four-section chat digest from bounded fleet state, including registered remote-home ledgers; use /bearings file to also replace today's dated report in data/, and add include PRs for live GitHub enrichment
/updatefirstmate Fast-forward the running firstmate and its secondmates, then persist and restart every live mate successfully left on the target commit - including already-current homes - with an honest re-read nudge only when restart cannot be proven
/stow Sweep the session for uncaptured durable knowledge, persist the open work records this session knows are unfiled or now wrong, curate tiered startup memory with decay and cold archival, enforce each home's budget or surface the required decision, cascade to registered second mates, and report what is safe to reset

Bearings invocation examples:

Agent-only reference skills live under .agents/skills/ and are loaded by firstmate at the trigger points named in AGENTS.md.

Two-tier skill layout

Firstmate's skills live in two separate places with different audiences:

Documentation

Contributing

Contributions are welcome - see CONTRIBUTING.md for the workflow, repo conventions, and how to run the tests.

License

MIT - see LICENSE.

firstmate (kunchenguid/firstmate)

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Что это такое?firstmate — это дистрибутив агентов: вы общаетесь с одним агентом-«старпом», который порождает и контролирует целую команду параллельных агентов для написания кода, а вам отдаёт готовые PR, одобренные локальные слияния или отчёты по расследованию.
Это приложение, которое нужно устанавливать?Нет и нет — ни приложения, ни CLI, ни сервера устанавливать не нужно. Сам склонированный репозиторий и есть дистрибутив: файл AGENTS.md, встроенные навыки и вспомогательные скрипты, которым следует любой поддерживаемый терминальный агент для работы с кодом.
Как его запустить?Склонируйте репозиторий, затем запустите один из основных харнессов — Claude Code, Grok или Pi — указав склонированную папку как рабочую директорию; дальше всем управляет AGENTS.md.
Что нужно иметь перед началом работы?Проверенный основной харнесс, git и GitHub CLI, авторизованный через gh auth login, а также бэкенд для запуска, например tmux (по умолчанию); старпом сам обнаружит недостающие инструменты и предложит их установить после вашего одобрения.
Есть ли подводные камни у конкретных харнессов?Для Cursor Agent CLI нужен флаг --trust, иначе хуки проекта не загрузятся, а headless-режим cursor-agent -p не имеет хука завершения хода, поэтому запускайте его интерактивно; у Codex и OpenCode компромиссов в части контроля больше, чем у основных харнессов.
Это работает и на Windows, или только на macOS и Linux?Это терминальная настройка: tmux — базовый бэкенд по умолчанию, а как альтернативы есть herdr, zellij, cmux и Orca. Проект нацелен на macOS и Linux; Windows существует только в виде экспериментальной наработки herdr в CI.
Насколько сильно он может менять мои проекты сам по себе?Старпом работает с вашими проектами только в режиме чтения, за исключением нескольких защищённых операций, требующих одобрения «капитана» (то есть вас); все остальные изменения вносят члены команды в рамках настроенного полномочия на слияние.
Что умеют встроенные слэш-команды?В комплекте пять команд: /afk — режим контроля в ваше отсутствие с пакетными сводками, /ahoy — напомнит об открытых решениях, /bearings — сводка по флоту из четырёх разделов, /updatefirstmate — самообновление и перезапуск работающих старпомов, /stow — перенос знаний сессии в долговременные заметки.
Что такое secondmates?Это опциональные постоянные «вторые помощники», которые работают в своих изолированных firstmate-домах — со своим FMHOME, состоянием, проектами и блокировкой сессий — либо локально, либо на другом хосте, доступном по SSH, с защищёнными обновлениями и восстановлением.
Зачем нужен Relay?Это опциональная функция, включаемая одним локальным токеном-парой в .env: она позволяет старпому отвечать на ваши публичные упоминания в X и Discord через тот же жизненный цикл, что и запросы в чате, подтверждая запущенную работу и публикуя до трёх публичных сообщений о завершении в течение семи дней. Перед включением можно запустить пробный прогон, который запишет предполагаемые ответы, ничего не публикуя.
Чем задачи ship отличаются от scout?Задачи ship доставляют в ваш проект авторизованные изменения, а задачи scout вместо этого оставляют самостоятельный отчёт по расследованию — они используются, когда запрос требует отдельного исследования, а не кода.
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