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Patter SDK

open-source SDK that gives your AI agent a phone number

Open Source
Developer Tools
Artificial Intelligence
GitHub
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Hunted byfrancesco roscianofrancesco rosciano

Open-source voice-AI SDK. The Vapi/Retell alternative for builders who want to own the stack. Give your AI agent a phone number in 4 lines — Python and TypeScript, MIT licensed, Twilio, Telnyx, and Plivo. - PatterAI/Patter

Top comment

Hi Product Hunt, Francesco here! Nico and I built Patter. Last year I tried to put an AI agent on a real phone number and lost two weeks to plumbing: carrier websockets, mu-law resampling, barge-in, voicemail detection. None of it was the agent. All of it was glue. Patter is that glue, open-sourced. MIT, Python + TypeScript, same API in both: from getpatter import Patter, Twilio, OpenAIRealtime # bind a phone number, wire your agent, go live phone = Patter(carrier=Twilio(), phone_number="+15550001234") agent = phone.agent(engine=OpenAIRealtime(), system_prompt="Be a friendly receptionist.") await phone.serve(agent, tunnel=True) That's a live phone number answering with your agent. Don't take my word for it — call the demo: +1 (920) 7-PATTER. An agent built on the SDK picks up. It's rate-limited, so if it stops answering we hit the daily cap. What you get: - Your carrier: Twilio, Telnyx, or Plivo — swap in one line - Three voice modes from one API: speech-to-speech realtime (OpenAI Realtime, ElevenLabs ConvAI), the pipeline (Deepgram STT → your LLM → ElevenLabs TTS), or hybrid — 27+ provider integrations across the stack - Barge-in, VAD, transfer, DTMF, voicemail drop, recording - Self-hosted dashboard: every call's transcript, latency, and cost — your data, your servers - Local dev with a built-in tunnel (tunnel=True) — test a real call from your laptop, no deploy Honest framing: if you want something managed and working this week, Vapi and Retell are good at that. Patter is for when you want to own the stack — swap any layer, keep your data, see what every call actually costs. Current release is 0.7.0, 4,500+ tests green across both SDKs, 950+ stars on GitHub. pip install getpatter · npm install getpatter github.com/PatterAI/Patter Ask me anything about telephony plumbing, latency budgets, or why barge-in took longer to tune than the rest of the pipeline combined :)

Comment highlights

Hey Product Hunt 👋

Nico here, co-founder of Patter.

Patter gives your AI agent a phone number in 4 lines of code. Open source, MIT, Python and TypeScript, runs in your own process with your own keys.

pip install getpatter or npm install getpatter and you’ll have an agent on the phone in ~5 minutes.

We’ll be here all day to answer every comment.

Congrats on shipping this, owning the stack with MIT licensing is a real win. One thing that would push it further for me would be a built-in latency benchmarking script that measures end-to-end response time across Twilio, Telnyx, and Plivo under load. Right now comparing providers means wiring up my own tooling, and a one-command benchmark would make it much easier to pick the right carrier before committing.

About Patter SDK on Product Hunt

open-source SDK that gives your AI agent a phone number

Patter SDK was submitted on Product Hunt and earned 12 upvotes and 4 comments, placing #62 on the daily leaderboard. Open-source voice-AI SDK. The Vapi/Retell alternative for builders who want to own the stack. Give your AI agent a phone number in 4 lines — Python and TypeScript, MIT licensed, Twilio, Telnyx, and Plivo. - PatterAI/Patter

Patter SDK was featured in Open Source (68.6k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.7k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 221.6k products, making this a competitive space to launch in.

Who hunted Patter SDK?

Patter SDK was hunted by francesco rosciano. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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