SUB/WAVE

A personal internet radio station. One Icecast stream, one broadcast. Every listener hears the same thing at the same time. An AI DJ picks the tracks and talks between them: station idents, time checks, the weather, a quick intro for whatever's going out next. You can ask for music in plain language; the DJ works out what you meant and slots it in.

It's radio, not a playlist. No per-listener shuffle, no skip button, no "up next for you." You tune in and hear whatever is on.

Showreel

Live demo

• Project site — getsubwave.com
• Demo player — getsubwave.com/listen
• Mobile apps — native players — iOS on the App Store, Android on Google Play
• Desktop app — native macOS / Windows / Linux player — latest release (source)
• Setup walkthrough — getsubwave.com/setup
• Operator manual — getsubwave.com/manual
• Community — join the Discord
• Support the project — buy me a coffee on Ko-fi

Screenshots

The listener player. One shared broadcast, with in-app song requests.

The admin console. Where the operator runs the station.

Dash — live status, the queue, the booth log	Personas — the DJ roster, each with its own voice	Schedule — programme the week, an hour at a time
Skills — what the DJ does between tracks	Stats — LLM and TTS usage at a glance	Debug — health, logs, recent LLM calls

The Library Observatory. A data-art map of every track the DJ has tagged, placed by genre and lit by energy. Click a point for its full dossier: BPM, key, mood, embeddings, and nearest neighbours. Open it at /observatory.

Features

• One shared Icecast stream. Every listener hears the same broadcast at the same time.
• AI DJ that picks and talks. Curates tracks, writes intros, and reads station idents, the time, and the weather.
• Plain-language requests. "Play something more upbeat" or "anything by Radiohead" works.
• Your own music library. Pulls from Navidrome over the Subsonic API. No external catalogue.
• Swappable LLM provider. Ollama, Anthropic, OpenAI, Google, DeepSeek, OpenRouter, Requesty, Vercel AI Gateway, or any OpenAI-compatible server. Change it from the admin UI with no redeploy. A daily token budget can cap hosted-model spend; past the cap the music keeps playing without the chatter.
• Six TTS engines. Piper and Kokoro (multilingual) in-process for fast local speech, plus an optional tts-heavy sidecar (docker compose --profile tts-heavy up -d) that adds Chatterbox (zero-shot voice cloning) and PocketTTS (6× real-time, EN/FR/DE/IT/ES/PT). Cloud (OpenAI / ElevenLabs) and a Remote engine (any self-hosted HTTP endpoint, audio over the wire) round it out. Pick a different engine per kind of speech.
• Multiple DJ personas. Up to 24 in the roster, each with its own voice and writing style. A show can seat up to three guest co-hosts who trade scripted banter with the host, and ready-made personas install from the community catalog.
• Multi-format broadcast. MP3 always served (configurable bitrate) for Sonos, hardware radios, and cars; optional Opus, AAC, and lossless FLAC mounts, each toggleable from the admin UI. The web player picks automatically.
• Native apps and PWA. Native iOS (on the App Store) and Android (on Google Play) players — background audio, lock-screen / CarPlay / Android Auto controls, multi-station — a native desktop player for macOS / Windows / Linux with a menu-bar mini player and live spectrum, plus an installable PWA on phone and desktop.
• Scheduled shows. A 24×7 grid; each slot has its own persona, mood, and skills, or anchors to a Navidrome playlist. Ready-made show templates install from the community catalog.
• Programmes. A show can air as a produced episode: the DJ drafts a per-episode plan — an angle, one feature beat each hour, an intro and an outro — so a three-hour slot hangs together instead of being three hours of unrelated links.
• Pluggable skills. The DJ's between-track segments — weather, news, traffic, and your own — are skills. The built-ins are scaffolded as editable files under state/skills/<kind>/ on first boot, so you can rewrite a brief or change the news feed (BBC → your own RSS) right from the admin console — no code, no redeploy. Add your own by dropping a SKILL.md (plus optional data-fetching code) into state/skills/, hitting Rescan, and enabling it — or write one in the admin UI's built-in editor, or install one other operators shared on the community exchange. See docs/custom-skills.md.
• Mood-aware rotation. Time of day, weather, and festival days bias what gets played and how the DJ talks — and the mood vocabulary itself is yours to edit on a dedicated admin page (words, "sounds like" descriptions, and which mood each moment of the day leans into).
• Ending-aware transitions. The bundled analyzer measures BPM, key, loudness, and how every track actually ends, so crossfades size themselves to the material: a real fade rides out long, a cold ending cuts tight. Vocal detection keeps the DJ from talking over a sung intro, and opt-in stem blends mix the outgoing tail into the incoming head for a produced-sounding seam. DJ speech ducks the music and lifts it back up.
• Playlist builder. Describe a playlist in plain language at /admin/playlists and the builder turns it into a recipe, resolves it against your library, and keeps recipe-backed playlists topped up as new music lands.
• Station imaging. Jingles, SFX stingers, and instrumental talk-over beds on one admin page — render them through the DJ's voice, generate them from a text prompt, or upload your own audio.
• Player skins + themes. Six player faces — Classic, Unit SW-9, Platter, Drift, Subamp, and TTY — with a station default and a per-listener override, plus a theme editor with live preview for colours and type.
• Private station mode. Two independent locks over one station password: hide the web player behind a prompt, and/or require listener auth on every stream mount.
• Multi-station profiles. Keep several stations in one install — each with its own library pool, DJ roster, schedule, and settings — and switch which one is live from the admin.
• Hourly archives (opt-in). Save every hour as MP3 for later replay.
• Scrobbling. Every spin can report to Last.fm and ListenBrainz, including self-hosted ListenBrainz instances.
• DJ Doc. A built-in station check-up: runs diagnostics across the stack, then has your configured LLM review the findings.
• Admin console. Live status, queue, booth log, personas, shows, skills, playlists, moods, imaging, stations, stats, and a debug view of recent LLM calls.
• Library Observatory. A full-screen, data-art map of every tagged track at /observatory — placed by genre, lit by energy, with a full dossier per track (BPM, key, mood, embedding fingerprints, and nearest-in-vector-space neighbours). Scales from a few hundred to tens of thousands of tracks.
• MCP server. External agents (Claude Desktop, Cursor, etc.) can request songs and drive the DJ.
• Self-hosted. One docker compose up -d on a single Linux host. Optional Cloudflare in front for TLS.

Why it's built this way

A playlist is a list you control. Radio is a broadcast you join. SUB/WAVE is the second kind:

• One shared stream. A single Icecast mount everyone connects to. Everyone hears the same audio at the same instant. That's what makes it a station instead of a jukebox.
• No skip. Track-end is the only natural transition. The DJ — human-curated personas plus an LLM — owns the pacing, not the listener. (Operators can skip via the admin API; listeners cannot.)
• AI as the DJ, not the catalogue. The music is your own library, served by Navidrome over the Subsonic API. The LLM picks what's next and talks between tracks. It doesn't generate music and it doesn't replace your taste.
• Self-hosted and swappable. Runs on one Linux box behind Cloudflare. The LLM provider is swappable at runtime (Ollama, Anthropic, OpenAI, Google, OpenRouter, Vercel AI Gateway) with no redeploy.

Quick start (CLI — recommended)

curl -fsSL https://cli.getsubwave.com | sh    # installs, then offers to init + start
subwave setup                              # connect Navidrome + LLM

Two Enter prompts during the installer (Run subwave init now?, then Bring the stack up now?) and the stack is on-air. subwave setup connects Navidrome and your LLM, or do the same in the browser at http://localhost:7700/onboarding.

No clone, no Node on the host. subwave status / logs / doctor / update work from anywhere afterwards.

Quick start (no CLI, raw docker)

If you'd rather skip our binary on your host and stick to docker compose:

mkdir subwave && cd subwave
curl -O https://raw.githubusercontent.com/perminder-klair/subwave/main/docker-compose.yml
curl -O https://raw.githubusercontent.com/perminder-klair/subwave/main/.env.example
mv .env.example .env
# Edit .env: set ADMIN_USER, ADMIN_PASS, SITE_URL (three vars, that's it).
docker compose up -d
# Then open https://your-host/onboarding. The web wizard collects Navidrome,
# LLM, TTS, DJ persona, and offers to render jingles.

Functionally identical: same images, same state layout, same persistence. The CLI just saves you the curl-and-edit dance and gives you subwave logs, subwave doctor, etc. for the rest of the lifecycle.

Heavy TTS engines (optional)

Chatterbox (zero-shot voice cloning) and PocketTTS (fast multilingual) live in a separate subwave-tts-heavy sidecar that adds ~5–6 GB of PyTorch and is not started by default. To enable:

docker compose --profile tts-heavy up -d

The controller is wired up to discover the sidecar automatically. Stop it again with docker compose --profile tts-heavy stop tts-heavy; the rest of the stack keeps running and Chatterbox/PocketTTS personas silently fall back to Piper. The old docker build --build-arg WITH_CHATTERBOX=1 path still works if you already have a custom-built controller image — see docker/Dockerfile.controller.

Run just one engine. Both engines load by default, but each costs RAM and a first-boot weight download. If you only use one, name it in .env and the other never loads:

TTS_HEAVY_ENGINES=pocket-tts       # PocketTTS only (no Chatterbox)
# TTS_HEAVY_ENGINES=chatterbox     # Chatterbox only
# TTS_HEAVY_ENGINES=chatterbox,pocket-tts   # default — both

Acoustic analysis (tempo/key/loudness) does not need the heavy TTS sidecar — it runs in its own subwave-analyzer service, which starts by default alongside the controller and web. The default image is lean and multi-arch (~1.1 GB, no PyTorch — so it runs natively on arm64 NAS/Pi/Apple-Silicon). The two heavier dimensions — CLAP "sounds-like" embeddings and Demucs vocal ranges — are the opt-in tier; enable them by pulling the heavy image, no rebuild:

# in your root .env
ANALYZER_HEAVY=1

That repoints the analyzer service at subwave-analyzer-heavy (CLAP + Demucs, ~1.9 GB, amd64) on the next docker compose up -d. The subwave setup wizard also offers it, and Unraid one-click users pull the subwave-aio-heavy image instead. Only the expressive voices above need the separate tts-heavy sidecar.

Hosts with an NVIDIA GPU can run the heavy stack on CUDA instead — layer the docker-compose.analyzer-gpu.yml overlay, which swaps the service to the subwave-analyzer-cuda image and reserves the GPU (needs the NVIDIA driver + Container Toolkit, nothing else):

docker compose -f docker-compose.yml -f docker-compose.analyzer-gpu.yml up -d

All-in-one installs have no analyzer service to swap, so they take the GPU on the image instead: pull subwave-aio-cuda and hand the container the card (--gpus all, or the Unraid steps in docs/unraid.md).

Local dev (contributors)

git clone https://github.com/perminder-klair/subwave.git && cd subwave
./scripts/setup.sh                                  # scaffolds a 3-var root .env + state/
docker compose -f docker-compose.dev.yml up -d      # Broadcast (icecast2 + liquidsoap) + Controller
cd web && npm install && npm run dev                # web UI on :7700, separate and hot-reloading
# Then http://localhost:7700/onboarding to finish configuration.

Dev compose bind-mounts controller/src/, radio.liq, and sounds/ from the repo. Controller runs under tsx watch so src/** edits hot-reload inside the container; radio.liq edits just need a docker compose -f docker-compose.dev.yml restart broadcast.

The standalone subwave CLI works inside the cloned repo too. cd subwave && subwave start dev does the right thing. The contributor convenience is npm start, which tsx-runs the CLI source directly so unreleased changes are exercised. Same commands, same flags, no npm install -g needed.

The same CLI doubles as the console for running the station. Run npm start for a status-aware menu; every menu action is also a one-shot subcommand, appended after npm start --:

npm start                       # interactive operator console (status-aware menu)
npm start -- setup              # first-boot wizard: Navidrome, LLM, admin, env files
npm start -- status             # compose env, services, now-playing, recent events
npm start -- doctor             # full diagnostic sweep
npm start -- start dev          # docker compose up -d (dev or prod)
npm start -- restart broadcast  # plain restart (radio.liq is bind-mounted in dev)
npm start -- restart controller # rebuild + recreate (source is COPY-d at build)
npm start -- logs controller    # tail one service
npm start -- listen             # open the web player in a browser
npm start -- admin              # open the admin console in a browser
npm start -- stop               # docker compose down (confirms first)

Production deploy

Single Linux host, Cloudflare terminating TLS, Caddy routing to four internal services. The no-CLI quickstart above is the canonical path: curl two files, fill in three vars, docker compose up -d, finish setup in the browser. See DEPLOY.md for host prerequisites, Cloudflare setup, updates, and backup.

On Unraid? One-click install from Community Applications (search SUB/WAVE in the Apps tab) — or run the full split-container stack via the Compose Manager Plus plugin. Both in docs/unraid.md.

Bring your own reverse proxy. If you already run Traefik, nginx, or your own Caddy in your homelab, swap the bundled-Caddy compose for the BYO variant:

docker compose -f docker-compose.byo.yml up -d

That exposes the web UI on :7700, the controller API on :7701, and the Icecast stream on :7702 (all configurable). Point your proxy at those three. docker/Caddyfile is a working reference for the route table you need to replicate. Details in DEPLOY.md.

Images on GHCR. Tagged releases publish to ghcr.io/perminder-klair/subwave-{caddy,broadcast,controller,web}, the default-on subwave-analyzer (lean, multi-arch acoustic analysis) sidecar, and the opt-in subwave-tts-heavy (expressive voices) sidecar. Heavy-analysis variants — subwave-analyzer-heavy and subwave-aio-heavy (CLAP + Demucs, amd64) — are published for operators who enable "sounds-like"/vocals, plus the NVIDIA CUDA builds of that heavy stack (amd64) — subwave-analyzer-cuda for split-stack hosts via the docker-compose.analyzer-gpu.yml overlay, and subwave-aio-cuda for one-click all-in-one hosts. All compose files pull :latest by default; pin a version with SUBWAVE_VERSION=v1.2.3 in the root .env.

Repository layout

docker-compose.yml      Production deploy with bundled Caddy (default)
docker-compose.byo.yml  Production deploy for hosts with their own reverse proxy
docker-compose.dev.yml  Local dev (broadcast + controller only; web runs separately)
controller/        Node.js controller, the AI DJ brain
  src/llm/         LLM layer (AI SDK): provider registry, prompts, tools
  src/broadcast/   queue, session, DJ agent, scheduler, jingles
  src/music/       Subsonic client, pool picker, library tagging
  src/audio/       TTS engines: Piper, Kokoro, Chatterbox, PocketTTS, cloud
  src/routes/      HTTP API split by surface (public, request, onboarding, settings, …)
liquidsoap/        radio.liq, the Liquidsoap mixing pipeline
web/               Next.js 15 web UI (player, landing, admin, setup)
docker/            Caddyfile, Dockerfiles, icecast.xml.template, supervisor entrypoint
scripts/           setup, jingle generation, update, health check
mcp-subwave/       MCP server that lets an agent request songs / drive the DJ
cli/               Operator CLI (TS, run via tsx loader, no build step)
bin/subwave        Operator CLI entry: setup, status, doctor, lifecycle

Notable details

• Controller code needs a rebuild, not a restart, because its source is COPYd at image build time. radio.liq is bind-mounted, so a Liquidsoap restart is enough after editing it.
• The LLM provider is swappable at runtime from the admin UI. Every model call goes through the Vercel AI SDK.
• There is no /skip for listeners. Track-end is the only natural transition; operators have an admin-only skip endpoint.
• Add to Sonos / VLC with one link. Hardware and software players take a playlist file, not a raw stream URL — paste https://<your-station>/listen.pls (or /listen.m3u) into Sonos, VLC, moOde, or a car receiver and it tunes straight in. Both are public (no auth), point at the always-served MP3 mount (plus Opus when you've enabled it), and resolve the origin from SITE_URL when set, otherwise the address you reached the station on (LAN / Tailscale / custom domain). /api/now-playing also carries a stream block (mount, format, bitrate, sampleRate, channels) for clients that want the broadcast's shape.
• Navidrome ≥0.62 is recommended. It ships several security hardening fixes (internet-radio management now admin-gated, transcode-config disclosure restricted to admins, concurrent-transcode DoS limits) and the OpenSubsonic sonicSimilarity extension. SUB/WAVE streams with format=raw so the transcode limits never throttle the radio, and when sonicSimilarity is enabled the picker automatically folds Navidrome's audio-based neighbours in as an extra track-selection source — no config, capability-probed, and a silent no-op when the extension is absent. Any reasonably recent Navidrome still works.
• Several areas (queue/playback path, radio.liq, the crossfade, voice ducking, the LLM layer) have non-obvious constraints that are easy to regress. Read the relevant note in CLAUDE.md before touching them.

Documentation

• DEPLOY.md: production deployment, updates, backup.
• docs/unraid.md: running on Unraid — one-click from Community Applications, or the Compose Manager Plus stack.
• docs/tts-heavy.md: the opt-in tts-heavy voices and the default-on acoustic analyzer service — what each does and how to toggle them, including running analysis on another machine (a GPU box elsewhere on the network).
• docs/custom-tts.md: bring your own TTS server — point the DJ at any HTTP endpoint you run (your GPU box, a bridge in front of a vendor API), the same way the LLM side takes a custom base URL.
• docs/gpu-tts.md: running Chatterbox on an NVIDIA GPU — via the OpenAI layer, or by GPU-enabling the bundled sidecar.
• docs/private-station.md: locking the player and the stream behind a password — and how to tune in from apps, VLC and hardware once it's on, including a station behind reverse-proxy HTTP Basic Auth.
• docs/navidrome-libraries.md: keeping audiobooks / seasonal collections off air with a dedicated, library-scoped Navidrome user.
• CLAUDE.md: deep architecture reference and the non-obvious constraints behind each subsystem.
• CONTRIBUTING.md: how to contribute.
• docs/community.md: the community catalog — sharing and installing DJ skills, personas, and shows, plus the public station map. The content itself lives in getsubwave/community.
• SECURITY.md: reporting security issues.
• mcp-subwave/README.md: the MCP server.
• docs/api.md: the HTTP API, the in-app Connect explorer + playground, OpenAPI export, and Home Assistant / Music Assistant recipes.

Music licensing

SUB/WAVE is playback and automation software. It does not grant you any rights to the music you broadcast through it, and it ships with no licensed content.

Owning a file — a purchased download, a CD you ripped, anything in your Navidrome library — covers your own private listening. It does not cover public performance. The moment SUB/WAVE streams to anyone but you, you are publicly performing copyrighted works, which in most countries requires licences for two separate rights:

• the musical composition (songwriting) — e.g. PRS for Music (UK), ASCAP / BMI / SESAC (US);
• the sound recording (the master) — e.g. PPL (UK), SoundExchange (US, under the statutory webcasting licence and its DMCA §114 conditions).

You are the broadcaster and you are solely responsible for clearing those rights. If you don't want to obtain licences, run the station privately (see DEPLOY.md → Make the station private), or broadcast only content you're cleared to use — music you created or own the rights to, Creative-Commons-licensed tracks, royalty-free libraries, or public-domain recordings.

This is general information, not legal advice. If you run a public station, talk to a media/IP lawyer in your jurisdiction.

License

MIT.