Your AI agent can call you. When it needs a decision, hits a wall or finishes a long job, your phone rings like a real call, even locked and in Doze. A voice AI tells you what's going on, you talk it through, and the agent gets the transcript and carries on. You can also call your agents back from the app and ask them things by voice.

Self-hosted and open source. No phone numbers, no Twilio, no per-minute fees: calls go over VoIP from your own server to your own phone.

agentring-demo.mp4

Sound on. A real run with Claude Code, a Pixel 6 and the voice AI: a migration fails, Claude Code calls the locked phone, you decide, it carries on. The phone is a screen recording with the call audio (the ringtone was added), the terminal is redrawn from Claude Code's output, and only the waits were cut. Silent version: demo.gif.

Pre-release. Messages, calls on a locked phone, the voice AI, calling your agent from the app and the MCP server all work. So far it has been tested on one phone (Pixel 6, Android 16). Android only for now.

Your agent reaches you. It can send you a message, wait for your reply or call you (send_message, get_replies, call). On a call, a voice AI explains why the agent is calling, answers your questions and hands the transcript back.

You reach your agents. Tap "Call agent" in the app. The voice AI can ask your own agents for help mid-call. If one is slow, the call goes on and its answer arrives when it's ready, or as a message if you've already hung up.

Nothing gets lost. A missed call turns into a message you can answer from the notification.

Things people use it for: "run the migration and call me if anything fails", "ask me before you deploy", "what did CI say?" while driving, a daily call with your assistant about your inbox.

agentring doesn't care which harness you use: anything that speaks MCP can reach you, and anything you can run as a command can be consulted from a call.

Copy-paste setup for each: docs/agents.md.

your agent ──MCP/CLI──▶ daemon ──WSS (outbound only)──▶ relay ──FCM push──▶ Android app ▲ │ (your server) │ └── agents.yaml ◀── voice AI (Gemini Live) ◀───── LiveKit (call audio) ───────┘

relay (TypeScript): pairing, messages, call state, push, LiveKit tokens. Runs on your server behind Caddy.

LiveKit: the call audio, self-hosted in the same compose file.

daemon (Python): the agentring CLI, the MCP server and the voice AI. Runs next to your agents, behind NAT is fine.

Android app (Kotlin): QR pairing, the native call screen, messages.

The voice AI is the voice, your agent is the brain: Gemini Live handles the conversation in real time and hands real work to your agents.

1. The relay, on a server with a domain (ports 80, 443, UDP 50000-50100 and TCP 7881 open)

cd deploy && cp .env.example .env && $EDITOR .env && docker compose up -d --build

... or on your own computer, at its LAN or Tailscale IP

cd deploy && cp .env.local.example .env.local && $EDITOR .env.local
&& docker compose -f docker-compose.local.yml --env-file .env.local up -d --build docker compose logs relay | grep -A2 "API key" # add the same -f/--env-file for the local one

2. The computer where your agent runs

uv tool install './daemon[voice]' agentring init --relay https://relay.example.com --api-key ak_... agentring pair # scan the QR code with the app agentring msg "hello" # the phone gets a notification echo GEMINI_API_KEY=... >> ~/.agentring/.env agentring call "Testing agentring" --ai

3. Your agent (Claude Code here; others: docs/agents.md)

claude mcp add agentring -- agentring mcp

Get the app from Releases. The full tutorial, step by step for both options and with a troubleshooting table: docs/setup.md. If the phone doesn't ring when locked, it's usually the vendor's battery saver: docs/troubleshooting-oem.md.

Everything runs on your own servers and accounts. Messages and call metadata are stored on your relay. Push notifications go through your own Firebase project; they are signed, not encrypted, so Google's FCM can read pushed text. Call audio goes through your LiveKit server and, with the voice AI, to Gemini; on Google's free tier, Google may use that data to improve its products.

Over the phone, the voice AI acts on what it hears, so give it only the tools and agents you'd trust someone holding your phone with. Details and the threat model: SECURITY.md.

Android only (no iOS yet).

One user per relay: no accounts.

The voice AI uses Gemini Live; other realtime backends plug in through RealtimeBackend.

Development

cd relay && npm ci && npm test # relay cd daemon && uv run --extra voice pytest # daemon (+ e2e against the relay build) cd app-android && ./gradlew :core:test :app:assembleDebug

CI builds the APK and runs an end-to-end test on an Android emulator against a real relay. See CONTRIBUTING.md and docs/release.md.