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Open-source AI platform for companies: self-hosted AI agents, GDPR-compliant chatbot widget, RAG knowledge base, WhatsApp and Outlook AI, MCP, multi-model routing. Docker, Kubernetes or hosted in Germ
LobbyStack answers your business calls 24/7, books appointments into your calendar, and transfers urgent calls to your team. Open source, with a free plan.
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LobbyStack: open-source AI receptionist software for phone calls, texts, and appointment booking.
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Read the full README ↗LobbyStack is an open-source AI receptionist platform for small businesses. It answers phone calls, books appointments, handles appointment changes, and transfers calls to a person when needed.
It is built for clinics, salons, repair shops, local service companies, restaurants, and any business that loses revenue when nobody is available to answer the phone.
LobbyStack gives teams a modern AI front desk that can be hosted in the cloud or self-hosted on their own infrastructure.
Website · Try the app · Docs · Self-hosting · GitHub · Discord
Most AI receptionist tools are closed, expensive, and difficult to adapt to real business workflows. LobbyStack is different.
LobbyStack answers inbound calls with a natural voice agent trained on your business information. It can answer common questions, collect caller details, take messages, qualify requests, offer appointment slots, and transfer to a human when required.
LobbyStack saves texts sent to your business number and alerts your team. You read the thread and reply by hand from the dashboard. The AI doesn't answer texts; STOP and HELP get fixed replies.
LobbyStack connects to Google Calendar, Cal.com or Calendly, checks availability, offers time slots, books appointments, and sends a confirmation text and one reminder text 24 hours before, if the caller agrees. Callers can also reschedule or cancel during a later call.
Upload business information, FAQs, services, pricing, policies, and internal notes. The AI uses this knowledge to answer accurately and consistently.
LobbyStack can transfer a live call, take a message, or notify the team by email or opt-in SMS when a person needs to respond.
Review calls, SMS threads, transcripts, recordings, appointments, and customer details from one dashboard.
LobbyStack books into Google Calendar, Cal.com or Calendly. A REST API, signed webhooks, Zapier and an MCP server connect it to your other tools. It doesn't sync with CRMs or practice-management software yet.
LobbyStack can be adapted for many local business workflows:
| Area | What it gives you |
|---|---|
| Voice reception | Inbound phone and browser calls answered by OpenAI GPT-Live, with phone numbers from Twilio or Telnyx. |
| Business knowledge | Answers from structured business facts, text entries, documents, and imported website pages. |
| Booking | Service-aware scheduling with availability checks and calendar handoff. |
| Appointment changes | Safer cancellation and rescheduling flows with appointment lookup and verification. |
| Human handoff | Live transfer and follow-up tasks for calls that need staff attention. |
| Messages | Incoming texts with manual replies, connected to customer history. |
| Website widget | Embeddable chat, lead capture, and browser calls with per-site access controls. Restricted: new widget keys are off unless you set WIDGET_KEY_ISSUANCE_ENABLED=true. |
| MCP server | A Model Context Protocol server at /api/mcp that lets Claude, ChatGPT and other assistants read calls and book appointments. |
| Dashboard | Calls, messages, contacts, appointments, recordings, transcripts, follow-ups, and analytics together. |
| Usage and billing | Hosted plans, voice usage, alert SMS, transfer attempts, storage, and spending caps. |
| Bring your own API keys | Self-hosted deployments can use your own Twilio or Telnyx, OpenAI-compatible AI, calendar, email, analytics, and billing provider credentials. |
LobbyStack runs a Model Context Protocol server, so you can connect Claude, ChatGPT, Claude Code, Cursor, VS Code or any other MCP client to a business and ask in plain language: "Who called yesterday and didn't book?" or "Book Dana Whitfield for a cleaning on Tuesday morning."
This is the beginning of the README. Read the rest at the original. Read the full README ↗