Claude Code · Multi-Machine · Mission Control

JARVIS

Run Claude everywhere. At the same time.

One task. Your entire fleet. No SSH. No tmux. No context switching.

Works with Claude Pro · 2 accounts · 4 machines · No API key

0+Machines
Agents
1Task. Whole fleet.
0%Yours
devs on the waitlist
No telemetry No cloud Self-hosted
ema@atlas ~ $

# Before JARVIS

$ssh atlas# open terminal 1

$ssh pixel# open terminal 2

$ssh nova# open terminal 3

$claude run task# run an agent

$waiting...

$switch to next machine

# 4 machines. 4 terminals. 1 agent at a time.

I built JARVIS so I'd never have to do that again.

— Ema Cejas

The counterintuitive truth

Four machines.
Four opinions.
Zero agreement.

We gave all four agents the exact same architecture question. WebSockets. REST. "Both wrong." Pragmatic tradeoffs. Four answers. Four different reasons. One tiebreaker vote.

The Question
Live — 4 agents · JARVIS Mission Control
4
Perspectives, not answers
Each agent runs independently with no shared context
2—1
2 FOR · 1 AGAINST
Majority vote across 4 agents. You decide, not guess.
Any question, any debate
Tech decisions, trade-offs, code review, strategy

Every hard decision is a debate waiting to happen.
Run it on your machines. See where your agents disagree. Then decide.

Your Fleet

Your Fleet.
One Mission Control.

JARVIS connects as many machines as you need over SSH and Tailscale. Each one runs its own Claude agents — you see everything from a single dashboard.

ATL
ATLAS
Mac Mini M4 Pro · Orchestrator
Local machine
ONLINE
backendlocal
PIX
PIXEL
Linux · Ryzen 7 · RTX 3070
SSH via Tailscale
ONLINE
frontendgpu
NOV
NOVA
Windows · i5 · RTX 3060
SSH via Tailscale
ONLINE
backendwindows
NMD
NOMAD
Linux · Lenovo · Ryzen 7
SSH via Tailscale
ONLINE
flexiblebackup
🔒

Your code never leaves your machines.

No cloud servers. No telemetry. No API calls home — because there are no JARVIS servers. Everything runs on your hardware, under your control.

Capabilities

Three capabilities.
One dashboard.

Parallel Agents

Dispatch unlimited Claude agents simultaneously across all your machines. No queuing, no waiting.

📡
Real-Time Feed

Live JSONL streaming from every agent. See tool calls, thoughts, and outputs as they happen.

🗺
Planning Canvas

Ping-pong planning mode with your agents. Branch management, visual diffs, collaborative iteration.

Workflow

Up and running
in four steps.

1
Configure

Add your machines to a simple TOML file. JARVIS auto-detects local vs remote.

2
Connect

JARVIS establishes SSH connections via Tailscale. Health checks run automatically.

3
Dispatch

Type a task in the Command Bar. Select one machine or your entire fleet.

4
Watch

Your agents work in parallel. Mission Control streams every action in real-time.

config.toml host = "local" · host = "pixel" · host = "nova"
How It Connects

Your machines. One network.

JARVIS runs on your main machine and reaches out to the rest over Tailscale. No open ports. No VPN config. No cloud in the middle.

JARVIS · Your machine
Tailscale Network
ATLAS
macOS
M4 Pro
CC
PIXEL
Linux
RTX 3070
CC
NOVA
Windows
RTX 3060
CC
NOMAD
Linux
Ryzen 7
CC

Why JARVIS

Why not just open 4 terminals?

You could. Here's what that actually looks like.

Before — The manual way

  • 4 SSH sessions. 4 terminal windows.
  • One agent at a time. Everything else waits.
  • Switch machines manually to check progress.
  • Context switch every 2 minutes.
  • A task fails silently. You find out 20 minutes later.
  • No coordination. No shared state. No overview.

With JARVIS

  • One Command Bar. All machines.
  • Dispatch to 1 machine or your entire fleet.
  • Every agent streams live — tool calls, outputs, thoughts.
  • Machines work in parallel while you focus.
  • Failures surface immediately. You never miss a thing.
  • Full coordination from a single dashboard.

JARVIS doesn't replace terminals. It replaces the mental overhead of juggling them.

Early access · Alpha software · Battle-testing with real developers
See It In Action

Watch JARVIS
orchestrate your fleet.

One task. Four machines working in parallel. Every tool call, every output — live.

ema@atlas ~/.config/jarvis $
# ~/.config/jarvis/config.toml

[[machines]]
id   = "atlas"
host = "local"        # this machine
os   = "macos"

[[machines]]
id   = "pixel"
host = "pixel"        # SSH alias
os   = "linux"
gpu  = "RTX 3070"

[[machines]]
id   = "nova"
host = "nova"
os   = "windows"
Dispatch in seconds

Type a task. Select machines. Hit enter. Agents start immediately.

Full transparency

Every tool call, thought, and output — streamed live as it happens.

Real hardware

Mac Mini M4 Pro, Ryzen 7 + RTX 3070, i5 + RTX 3060. Tested on real machines.

Mission Control

Everything in one view.

Four machines. Sixteen agents. Every tool call, every output — one window. No switching, no waiting, no missed context.

JARVIS — Mission Control
JARVIS Mission Control showing multiple AI agents running in parallel across machines
See it in action

Watch JARVIS work.

From zero to a 4-machine fleet in minutes. Real sessions, real code, no cuts.

5:12
0:00
5:12
Getting Started

JARVIS in 5 minutes: From zero to 4-machine fleet

Install, configure, and run your first parallel agent session across two machines.

8:43 Coming soon
0:00
8:43
Demo

Parallel tasks: 4 agents attacking the same feature

ATLAS plans. PIXEL builds frontend. NOVA handles the API. Watch the fleet coordinate in real time.

6:21 Coming soon
0:00
6:21
Features

Planning Mode: Collaborative architecture with your fleet

Ping-pong planning between agents until the spec is solid before a single line is written.

11:07 Coming soon
0:00
11:07
Advanced

Real pipeline: Deploy to prod across 3 machines

Build on PIXEL, test on NOVA, merge and deploy from ATLAS. Full pipeline, one dashboard.

What's coming

Built for Claude.
Open to everything.

JARVIS starts with Claude Code because it's the best. More model support is on the way.

Claude Code Available now
🔜 Ollama (local models) Coming soon
🔜 Other providers Coming soon
Built With

Serious tech
for serious work.

Works with
🤖 Claude Code
🔒 Tailscale
🍎 macOS
🐧 Linux
🪟 Windows
SSH
Tauri 2
Rust
Svelte 5
Claude API
Tailscale
SSH
Canvas 2D
JSONL Streaming
Common Questions

You already pay for Claude.
JARVIS multiplies what you do with it.

Ema Cejas
EC
Built by a human
Ema Cejas
Solo developer. 4 machines. Built this because I needed it. Now sharing it.

Built for developers
who think in fleets.

Free forever. Open source. Runs entirely on your hardware.

No spam. We'll reach out when early access opens.

macOS · Linux · Windows · No cloud dependency