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JARVIS

Just A Rather Very Intelligent System — a voice for Claude Code.

JARVIS is a British butler who sits on top of the Claude Code you already pay for. You talk to him. He brainstorms a project with you out loud, one question at a time; when you have settled on something he writes the design down as a file in your project; then he starts a real Claude Code session on it and drives it through plan → review → execute. While it runs he watches every Claude Code session on your machine, and when one of them is stuck waiting on a human he tells you which one, out loud, without you having to look.

"Will do, sir."

Six seconds of the JARVIS orb while he is speaking, looping. Two thousand particles hold the shape of a hollow blue sphere, wired together by faint lines between the ones that drift close enough; a bright rim catches its lower edge. Through each spoken phrase the sphere swells and brightens and leans towards you, then falls back and contracts through the pause before the next one, three times over, while the camera drifts a few degrees around it.

What you actually look at while you talk to him: frontend/src/orb.ts, rendered live. The audio driving the pulse is synthetic — a speech-shaped envelope fitted to a measurement of the real analyser, not a recording of his voice — but every pixel is that file running. Regenerate with scripts/make_orb_loop.py.

A twenty-three second walkthrough of the JARVIS dashboard, looping. It opens on Runs: a red "Needs Attention" panel over a failed run and a timed-out one, then Active and History, every row carrying the project, the prompt, a status pill, elapsed time and tokens. A run opens to show its prompt, cost, model and live transcript. The Sessions tab shows every Claude Code conversation on the machine grouped by project; clicking a blocked one swaps the right-hand column from a tally into a red band reading "waiting on you for 51m — permission prompt", with the question the CLI actually asked quoted underneath. Specs shows a design document with big numbered sections you answer by voice. Projects drills into one project's conversations, runs and build progress. Usage ends on the subscription's two gauges — a five-hour window at 62 per cent and a seven-day one at 84 per cent.

The whole dashboard, clicked through. Fictional sample data throughout — the projects, prompts, people and figures in every screenshot on this page are invented.


What it costs

No AI API usage, and none is possible. JARVIS's brain is a Claude Code process running on your Claude subscription — the same login you use in the terminal. There is no Anthropic API key anywhere on the voice path, and there is no way to accidentally put one there:

# claude_env.py
SCRUBBED_ENV_PREFIXES = ("CLAUDE_CODE_", "ANTHROPIC_")
SCRUBBED_ENV_KEYS = {"CLAUDECODE"}

Every Claude Code process JARVIS spawns — the brain and every build — is launched through claude_env.child_env(), which strips every ANTHROPIC_* variable out of the environment first. This is deliberate and it is not a nicety: the CLI silently prefers an inherited ANTHROPIC_API_KEY over your login, and claude auth status goes on reporting loggedIn: true while billing quietly moves onto the key. So JARVIS removes the key rather than trusting itself not to pass it. Leave one in your .env if you like — the startup check will warn you it is there, and the brain will still never see it.

The dashboard's Subscription panel, measured three minutes ago: a 5-hour session gauge at 62 per cent that resets at 6:00pm, and a 7-day week gauge at 84 per cent that resets Sunday at 8:00am. Underneath, a note headed "what the CLI reports": two windows, and no separate per-model limit.

So the number that matters is not a dollar figure — it is how much of your subscription's two windows is gone. Fictional sample data.

The one thing you pay for is Fish Audio, which gives JARVIS his voice. Be aware there is no fallback: tts.py returns nothing without FISH_API_KEY, so JARVIS goes silent and his replies appear as text in the browser instead. If you would rather use a different TTS, that is a small, well-isolated file to replace — see Make it yours below.

What he does

  • Brainstorms out loud. The conversation is the design phase. He asks one question at a time, offers two or three approaches, and does not start anything until you have agreed on one.
  • Writes the design down. What you agreed goes on disk as docs/superpowers/specs/YYYY-MM-DD-<topic>-design.md inside the project being built — before a single process is spawned. You can read it back by numbered section and approve it by voice, or open it on the dashboard.
  • Drives the build. A build is a real claude -p session handed a brief that tells it to write a phased plan, review that plan against the spec, then execute it task by task under test-driven development, ticking the plan's checkboxes as it goes. "How far has it got" is answered by reading those checkboxes, not by guessing.
  • Watches every Claude Code session on the machine — not just his own. Ask "which of my sessions are waiting on me?" and he checks live. He can post a message into one, and answer a permission prompt for one running in Terminal.app by pressing a single key.
  • Interrupts you when it matters. A session that needs a human gets said out loud immediately; a session that merely finished gets batched into one sentence at the next pause. If nobody has the browser tab open, it becomes a macOS notification instead.
  • Remembers. Long-term memory is a folder of plain Markdown files, one fact per file, with an index the brain always sees. You can read and edit it in any text editor.
  • Records everything. Every Claude Code process JARVIS starts is a run: a row in SQLite with its prompt, project, status, token usage and the full event stream. Watch them live at /dashboard.

The Runs view of the JARVIS dashboard. A red "Needs Attention" panel holds a failed run and a timed-out one, with the failure's exit code and error printed under it. Below that, an Active panel with one run in progress and one queued, then History. Every row shows the project, the prompt the run was given, a status pill, how long it took, tokens spent, and the time.

The Runs view. Every Claude Code process JARVIS starts is a row here, with the prompt that started it. Fictional sample data.

The dashboard has six tabs — Runs, Sessions, Memory, Specs, Projects and Usage. Usage shows what your subscription's five-hour and seven-day windows have left, and who spent it.

The Sessions view. On the left, a "Needs You" panel with two blocked sessions, then every Claude Code session on the machine grouped by project and labelled needs you, working, shell, idle, gone or unknown. On the right, the selected session: a red band saying it has been waiting on you for 51 minutes at a permission prompt, that only your keystroke can answer it, and, quoted underneath, the question the CLI actually asked.

Sessions, with a blocked one open beside the list. The reason a session is stuck is the CLI's own words, not a guess. Fictional sample data.

Requirements

  • macOS. Terminal control, window listing, screenshots and notifications all go through AppleScript. There is no Linux or Windows path today.
  • Google Chrome. Not a preference — a constraint. The microphone uses the Web Speech API (SpeechRecognition / webkitSpeechRecognition, see frontend/src/voice.ts), which Firefox has never implemented. There is no server-side transcription to fall back on.
  • Claude Code, installed and logged in. npm install -g @anthropic-ai/claude-code (2.1.224 or newer), then run claude once and log in. This is what JARVIS runs on.
  • Python 3.11+ and Node.js 18+.
  • A Fish Audio API key. Required; there is no fallback voice.

Setup

git clone <your fork of this repo> jarvis
cd jarvis

cp .env.example .env

pip install -r requirements.txt
python -m playwright install chromium    # for read_page / look_at_page

cd frontend && npm install && cd ..

Fill in the .env. .env.example documents the lot; the short version is one required key and three optional ones:

FISH_API_KEY=...            # required, no fallback
# JARVIS_BRAIN_MODEL=sonnet # optional: the brain's model
# FISH_VOICE_ID=...         # optional: a different voice
# USER_NAME=Tony            # optional: what he calls you

Generate the certificates. These are not optional:

openssl req -x509 -newkey rsa:2048 -keyout key.pem -out cert.pem -days 365 -nodes -subj '/CN=localhost'

server.py serves HTTPS whenever cert.pem and key.pem sit beside it, and frontend/vite.config.ts proxies /api and /ws to https://localhost:8340. Without the pair the backend serves plain HTTP, the dev server's proxy cannot reach it, and every API and WebSocket call through the front end fails with a 500 while the page itself still loads — a confusing way to spend an evening. Generate them once and forget about them.

Then, in two terminals:

python server.py --host 127.0.0.1        # terminal 1
cd frontend && npm run dev               # terminal 2

Open Chrome at http://localhost:5173, click the page once to allow audio, and speak. The dashboard is at http://localhost:5173/dashboard.html.

Who can reach it. --host defaults to 127.0.0.1 — this machine only. Everything JARVIS serves acts with your full authority: POST /api/runs spawns claude --dangerously-skip-permissions, /api/sessions reads every Claude Code conversation you have. A strict Origin check stands in front of every WebSocket and every state-changing route, so a web page you happen to be visiting cannot open /ws/voice and speak as you. There is nothing to configure: the page is same-origin, so the browser sends an Origin no page can forge.

An Origin is only unforgeable when a browser sets it, though. Anything speaking raw HTTP can claim to be the dashboard, so a client with no Origin — a script, the brain's own MCP child — must instead present the token in <data-dir>/jarvis/tool-token, and on the network the loopback bind is the rest of the answer. --host 0.0.0.0 still works if you mean it; set JARVIS_ALLOWED_ORIGINS to the address you will actually open the page at, or the browser will be turned away too.

This is one of five deliberate trust decisions in this design — see What this trusts, and why before you run it.

One more thing about Chrome: the microphone permission is scoped to the origin including the port. If you restart Vite and it lands on 5174, the grant does not follow, and Chrome will not re-prompt — it just stays denied, silently. If the mic stops working after everything else looks right, check that the port has not moved.

Connections: bring your own

JARVIS ships connected to nothing, because the useful thing is not our guess at what you use — it is the door. Any MCP server works. Put its mcpServers block into data/jarvis/connections.json:

{
  "mcpServers": {
    "notion": {
      "command": "npx",
      "args": ["-y", "@notionhq/notion-mcp-server"],
      "env": { "NOTION_TOKEN": "secret_..." }
    }
  }
}

That is the block from the server's own README, unchanged. Restart JARVIS and ask him "what are you connected to?" — he answers from what actually started, names anything that would not start and why, and tells you what it costs him. (About 250 tokens of his context per tool, on every turn — a measured figure, and counted against the tools that actually loaded rather than the ones you meant to load. It is not charged against how much of your conversation he remembers.)

Your other MCP servers are deliberately ignored. JARVIS runs with --strict-mcp-config, so nothing in ~/.claude.json or Claude Desktop reaches him unless you put it in that file yourself — connecting something to JARVIS should be a thing you did, not a thing you inherited.

Whatever a connected server returns is treated the way a web page is: reported, never obeyed. You vouched for the server's code when you installed it; you did not write the ticket, the email, or the shared page it hands back.

See skills/jarvis-setup/SKILL.md for the longer walkthrough — including what to do when a server does not start.

Earlier versions of JARVIS came wired to Apple Calendar, Mail and Notes instead. Those are gone: they cost three AppleScript permission prompts on first launch, before you had heard him say anything, for an assistant whose job is building software. A door you choose is worth more than three we picked.

How it works

Microphone → Chrome Web Speech API → WebSocket → FastAPI (server.py)
                                                      │
                                                      ▼
                                        the brain (brain.py) — ONE long-lived
                                        `claude -p` process on your subscription
                                                      │
                    ┌─────────────────────────────────┼──────────────────────────────┐
                    ▼                                 ▼                              ▼
        speech.py → Fish Audio → speaker    MCP tools (jarvis_mcp.py       session_watch.py
                                             → POST /internal/tool)     (every Claude Code
                                                      │                  session on the machine)
                                                      ▼
                                        RunExecutor → run store (SQLite)
                                                      │
                                                      ▼
                                        /api/runs + /ws/runs → /dashboard

The brain is one persistent process, not a request per turn. Your transcript is written to its stdin; its reply streams back and is split into sentences as it arrives, so the first words are already being spoken while the rest is still being written. It reaches JARVIS's own capabilities as MCP tools over a stdio channel that forwards to POST /internal/tool. The exact set is the allowlist at the top of brain.py, which is the list to read rather than a number to quote here.

What it does not get is a way to act on something it has just read off the web. A turn that used WebSearch, WebFetch, read_page or look_at_page is refused every acting tool for the rest of that turn, and no acting tool runs at all unless the turn began with you speaking. Text that arrives from a web page, a screenshot or another session's transcript is untrusted, and is treated that way.

Anything spawned as real work goes through one recorded pipeline, and two invariants hold throughout it:

  1. A run always reaches a terminal statesucceeded, failed, timed_out or cancelled. Never stuck in running.
  2. Every state transition is a database write before it is a notification. The WebSocket is a cache-invalidation hint, never a source of truth; the dashboard reconciles against /api/runs.
Layer Technology
Backend FastAPI + Python (server.py)
Frontend Vite + TypeScript + Three.js (voice UI), vanilla TS (dashboard)
Communication WebSocket — JSON messages, base64 MP3 audio
Brain One long-lived claude -p process, Sonnet by default, on your subscription
Voice Fish Audio, one request per sentence
System AppleScript — Terminal, Chrome, notifications, screenshots
Storage SQLite for runs and usage; plain Markdown for memory

Key files

File Purpose
server.py The server: WebSocket handler, HTTP API, every /internal/tool handler
brain.py The voice brain — spawning, turns, restarts, context rotation
claude_env.py The environment every spawned child gets, including the ANTHROPIC_* scrub
jarvis_mcp.py Stdio MCP server exposing JARVIS's tools to the brain
speech.py Sentence splitting, echo rejection, barge-in, and the queue of everything JARVIS says
tts.py Fish Audio synthesis — the whole voice, in one small file
builds.py Spec, brief and plan: the pipeline behind a real multi-hour build
specs.py The review surface — reading a design back by numbered section, and approving it
run_store.py SQLite runs / run_events, and the six-value status enum
run_executor.py Spawns runs and drives each to a terminal state
stream_parser.py Pure parsing of Claude Code's stream-json output (no I/O)
session_watch.py Watches every Claude Code session on the machine
session_steer.py Posts a message into a running session's inbox socket
dialog.py Presses one key in the Terminal tab that owns a session
jarvis_memory.py Memory as a folder of Markdown files, not a database
jarvis_home/CLAUDE.md JARVIS's persona and rules — the file to edit to change who he is
preflight.py First-run checks: CLI version, login, Accessibility, Fish key
data_paths.py The single source of truth for where JARVIS writes
frontend/src/voice.ts Web Speech API, audio playback
frontend/src/orb.ts The Three.js particle orb
frontend/src/dashboard/ The dashboard (vanilla TS, no framework)

What this trusts, and why

Five things below are true on purpose. Each is a trade-off JARVIS's design made deliberately, not a bug waiting for a fix — know them before you run it.

A directory name can put words in JARVIS's mouth. To say which session he means — "hammer in Desktop," not "one of them" — JARVIS composes a voice name out of directory names and a conversation's title, and accepts up to ~60 characters of letters, digits, spaces and light punctuation (,.-/+') in it (_said_name in server.py; _plain_phrase accepts the same class for a session's waitingFor). Anyone who can create a directory on this machine, or write a Claude Code roster file's waitingFor field, can put those words into a sentence JARVIS speaks aloud. There is no separator, no <, >, " or = in the allowed set, so it cannot forge a whole line or close a wrapper — only words, never a fake instruction with structure. The alternative is an assistant that cannot name what it is looking at.

The taint gate stops action, not persuasion. Anything JARVIS reads from a web page, a file, another session, a run, the screen or a connected MCP server is marked untrusted, and every acting tool is refused for the rest of that turn — for the two tools that write memory, the rest of that generation (_untrusted_content_refusal, TAINTING_TOOLS, MEMORY_WRITERS in server.py). This does not mean text an attacker suggested is never acted on — nothing tracks where a sentence in the brain's context came from, so a suggestion planted by something JARVIS read is still sitting there when you next speak. It means you have to ask again, in your own words, on a turn that opened clean. That is the strongest guarantee this design can actually keep, not a claim that the suggestion is gone.

Every spawned run has full privileges. JARVIS_SKIP_PERMISSIONS defaults on, so every run passes --dangerously-skip-permissions (run_executor.py) — there is no TTY to answer a permission prompt, so without it a run hangs forever instead of doing its job. A run is therefore a full-privilege process on your machine, in whatever directory you pointed it at, scrubbed only of ANTHROPIC_*/CLAUDE_CODE_* environment variables (claude_env.py), not of filesystem access. It can write anything you could write by hand, including the Claude Code session roster and transcripts that JARVIS himself later reads back as another session's words.

Loopback is trusted. Anything on this machine that can present an Origin of http://localhost:5173 through 5180, or the API port itself (DEV_SERVER_PORTS, JARVIS_DEFAULT_HOST in web_auth.py), gets the same access a browser tab gets — including starting a run — because that is the same window Vite's own dev-server restarts land in. Any other process on your machine bound to one of those ports gets it too. --host 0.0.0.0 widens the same trust to your LAN and prints a warning when you do it. The other door is the bearer token in <data-dir>/jarvis/tool-token, written 0600 (data_paths.ensure_tool_token) so only your user account can read it.

A dropped audio ack degrades hearing for up to 45 seconds. The browser acks each chunk of speech as it finishes playing; JARVIS uses that to relax echo rejection for the one- and two-word replies people actually interrupt with ("now," "yes"). If the tab crashes or the socket drops, no more acks arrive, that relaxation stays off, and a short reply matching JARVIS's last sentence can be discarded as an echo of himself — until the ack_timeout watchdog (45 seconds, speech.py) gives up on the chunk and settles it. Reload the tab if a short answer seems to be getting ignored.

Make it yours

This is a starting point, not an appliance. The whole idea is that you clone it and bend it to what you do. The seams are deliberately obvious:

  • His personality lives in jarvis_home/CLAUDE.md — how he speaks, what he refuses to say, what he does when he is unsure. It is copied into his data directory on first run; edit that copy and it is never overwritten, or edit the template and it ships to a fresh install. If you want something other than a British butler, this is the only file you need to touch.
  • His voice is tts.py: one HTTP call, sixty-odd lines. Swap in a different provider, or a local model, without touching anything else.
  • His tools are the TOOL_HANDLERS table in server.py, exposed to the brain through jarvis_mcp.py and gated by an allowlist in brain.py. Adding one means writing a handler and naming it in those two places.
  • The look is frontend/src/dashboard/theme/ — four CSS files, tokens first. frontend/dashboard-preview.html renders every component on one page against the real stylesheet, so you can redesign without running the backend. The screenshots above are renders of that page.
  • The orb is frontend/src/orb.ts, self-contained Three.js.

Contributions are welcome, and the most useful ones are the ones this cannot do yet: non-macOS system integration, alternative TTS engines, and a mobile client. Please open an issue before a large PR.

Development

pytest

That runs the whole suite — around 1,640 tests — and touches neither the network nor your screen. Nine browser tests are deselected by default because they visit real URLs and browser.py launches Chromium with headless=False on purpose, so they open windows on your desk. Run those deliberately:

pytest -m browser

No test spawns a real claude process, and none should. tests/conftest.py sets JARVIS_BRAIN_AUTOSTART=0 for the whole suite.

Everything JARVIS writes — the SQLite database, the memory folder, usage tracking, the internal tool token — lives under data/, which is ignored in full. Point JARVIS_DATA_DIR somewhere else to run an instance without touching your real data:

JARVIS_DATA_DIR=/tmp/jarvis-scratch python server.py --host 127.0.0.1

License

Free for personal, non-commercial use. Commercial use requires a license — visit ethanplus.ai for inquiries. See LICENSE for details.

Credits

Built by Ethan. Runs on Claude Code and Fish Audio.

Inspired by the AI that started it all — Tony Stark's JARVIS.

Disclaimer: This is an independent fan project and is not affiliated with, endorsed by, or connected to Marvel Entertainment, The Walt Disney Company, or any related entities. The JARVIS name and character are property of Marvel Entertainment.

About

JARVIS — a voice assistant for Claude Code. Talk to your Mac and he brainstorms a project with you, builds it, and tells you out loud when a Claude Code session needs you. macOS, on your Claude subscription, no API key.

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