The problem: too many AI tools, no home
If you build with AI today, your setup probably looks like mine did:
Claude in one window, Codex in another, a couple of HTTP model APIs,
an MCP server you set up once and forgot. Different keys, different
configs, different terminals. Switching between them is a tax you pay
all day.
I got tired of it and built Fleetify — one desktop app to install,
run, and manage every AI coding tool from a single place.
What it does
One place for every tool. During onboarding, Fleetify shows you
every supported AI tool — CLI agents (Claude, Codex, Gemini, Kimi) and
HTTP providers (OpenAI, DeepSeek, Grok, Gemini API, Perplexity, and
more) — and lets you install and authenticate them without leaving the
app. Keys live in your OS keychain, not a dotfile.
Workspaces, anywhere. A session can run on a local folder, a cloned
git repo, a remote SSH host, or a Docker container — each isolated in
its own git worktree so parallel agents never step on each other.
Intelligent routing. Pick "Auto" and Fleetify routes each message
to the best model automatically, or choose the provider yourself.
Routines. Give an agent a task and a schedule, and it spins up its
own session to run it — a morning digest, a weekly dependency check, a
daily standup draft. Define it once; it runs on its own.
Dispatch. Hand it one task and it can plan and dispatch to the right
agent, with work isolated so nothing collides.
Where it's going
The bet behind Fleetify is simple: every developer is becoming an
orchestrator. Too many models, too many agents, too much running at
once to manage by hand. One place to direct it all is going to matter.
If that resonates, I'd love your feedback. What does your AI tool setup
look like right now — and what's the part that annoys you most?
Try it / follow along:
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