Chisle
The coding-agent plugin that bills 52% of a bare model across 20 live tasks. Terse persona + tool-output compressor + context diet.
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Fleet engine: one command sets up T3 Code, agents and opt-in workflow packs
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Loading the full README.
Read the full README ↗Coding agents get much better with good rules, skills, and a machine that stays on. Setting that up by hand takes a day per machine, and the machines drift apart.
Fleet sets up T3 Code, Claude Code, Codex, and a set of agent workflows on your Mac and your Linux devboxes. You pick the workflows as packs. Your answers live in your own private profile repo, so every machine gets the same setup.
Download T3 Code and open it. Its Welcome page sets up one agent, Claude Code or Codex, and signs you in.
Sign in with T3 Connect. In T3 Code, open Settings → Sharing & access, sign in, and turn on T3 Connect. It links your Mac to your devboxes and your phone.
Paste this prompt into a new thread in T3 Code on your Mac, or open it in T3 Code:
Set up Fleet on this Mac with me. Read https://raw.githubusercontent.com/Silthus/fleet-engine/main/SETUP.md and follow it step by step.
From here the agent leads. It asks what you know and what you want, explains each part, and runs the steps itself. You answer its questions and do your own sign-ins.
Open the Fleet site to choose where Fleet runs: on your Mac only, or on your Mac plus a hub and a node. Switch the Pull requests, Orchestration, and Communication packs on or off. The site builds the prompt above with your picks in it, so the agent skips those questions.
The Packs page shows every pack, and each pack has its own page. Select packs there, and copy one prompt that adds them to a Fleet you already run.
bun scripts/build-page.ts generates the site from the pack data into
site/. To see it, open site/index.html.
Version 0.1.0 is the first public release. It is early. On every pull
request, CI runs the install as a new Linux user, then fleet setup and
fleet doctor, with a sandbox GitHub account. Other paths are built but not
yet proved end to end, such as a run on a clean Mac user and the real
sign-ins. The changelog lists them under "Known gaps".
Run this as your login user, not with sudo, on macOS or on Linux (x64 or
arm64):
curl -fsSL https://raw.githubusercontent.com/Silthus/fleet-engine/main/get.sh | sh
Read get.sh first if you want to know what runs. It:
curl, git, tar, sha256sum, python3, and
cron first. Linux also needs systemd's user manager, so T3 Code can run as a
service. To keep it running after you log out, an administrator runs
sudo loginctl enable-linger <your user> once.~/.local/share/fleet/engine and puts fleet in
~/.local/bin.~/.local/bin and
~/.bun/bin are on your PATH.fleet setup.fleet setup asks plain-language questions. It asks you to sign in to
GitHub, and to Claude, ChatGPT, or both, depending on the plan you pick. It
then creates the private repo fleet-profile in your GitHub account, pushes
your answers there, and applies your packs to this machine. Running get.sh
again picks up where it stopped.
Getting started walks through it step by step, from a new Mac to a linked Coder devbox, with what each sign-in asks.
bun install
bun run test
bun run typecheck
See GLOSSARY.md for the words Fleet uses.
MIT. See LICENSE.