
SIPHON
Build production AI calling agents in minutes. Open Source.
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About SIPHON
The open-source foundation for production Voice AI. Stop renting your core telephony infrastructure. If you are building an AI calling agent on a managed CPaaS platform, you aren't just paying for the underlying AI. You are paying a compounded, punitive middleman fee just to wire models together. Meet SIPHON. We built the open-source alternative: a pure Python framework that bridges legacy SIP telephony to modern LLMs over ultra-low latency WebRTC pipelines. It provides the exact same sophisticated orchestration as expensive wrappers, but you host it on your own servers. Why enterprise teams and developers are switching to Siphon: πΈ Zero Platform Fees (BYOK): Plug in your own API keys (OpenAI, Deepgram, Twilio) and pay wholesale baseline provider rates. Keep 100% of your margins. β‘ Sub-500ms Latency: Powered natively by WebRTC and the LiveKit engine. Local VAD execution halts TTS audio instantly when a human speaks, completely eliminating the robotic "walkie-talkie" effect. βοΈ Zero-Config Horizontal Scaling: Run 1 worker or 1,000. Siphon autonomously load-balances active voice sessions without complex Kubernetes HPA rules. π‘οΈ Enterprise Data Sovereignty: Run it in your own VPC. Unredacted customer audio, transcripts, and metadata never leave your infrastructure. π§ Production Workflows: Natively handles dynamic inbound SIP routing, programmatic outbound fleets, cross-session caller memory, and asynchronous tool-calling (e.g., booking Google Calendar invites mid-conversation). We are actively building the open future of telephony and would love feedback from the PeerPush community. Check out the architecture, drop a star, and let us know what you build! GitHub Repository: https://github.com/blackdwarftech/siphon
Product Insights
SIPHON is an open-source Python framework that enables developers to build production-grade AI voice agents by bridging SIP telephony with LLMs. It eliminates platform-specific middleman fees by allowing teams to host infrastructure locally using their own API keys.
- Zero platform fees through a bring-your-own-key model for OpenAI, Deepgram, and Twilio.
- Native WebRTC and LiveKit integration achieving sub-500ms latency for natural conversations.
- Zero-config horizontal scaling allowing autonomous load-balancing across multiple worker instances.
- Enhanced data sovereignty with support for private VPC hosting of audio and transcripts.
Ideal for: Developers and startups seeking to build scalable customer support voice agents while maintaining full control over infrastructure and data.
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Product Updates (3)
Voice AI is finally moving from "chatting" to "doing."
We've just released native Google Calendar integration for Siphon to bridge the "Context Gap." Usually, connecting an agent to a real-world schedule requires a nightmare of OAuth flows and custom API glue. We've abstracted that into a single configuration flag. This turns a standard voice agent into a functional worker that can check real-time availability, negotiate slots, and handle cancellations without double-booking. Itβs the difference between an AI that talks about a meeting and an AI that actually schedules it. Check out the new Dental Receptionist example in our GitHub repo to see how this works in about 30 lines of Python logic. GitHub: github.com/blackdwarftech/siphon
Comments (4)
This is clearly the future. How fast does that future arrive though is to be seen.
Siphon: Zero-Config Horizontal Scaling
Scale your AI voice infrastructure effortlessly. Siphon removes the complexity of high-volume telephony with built-in Zero Config Horizontal Scaling. Instant Expansion: Define your agent logic once. To scale, simply spin up additional worker instances on any server. Siphon automatically detects and integrates them immediately. Intelligent Load Balancing: Traffic is dynamically distributed across all active workers, ensuring stability and low latency. Limitless Capacity: Scale from a single worker to thousands without changing your architecture. Focus on building intelligence, not managing bottlenecks.
Comments (1)
The "Context Gap": Why Voice AI Usually Fails
Most voice agents are great conversationalists but terrible employees. They can discuss the meaning of life, but they can't book a dental appointment. Why? Because talking is easy, but integration is hard. Traditionally, connecting an AI to a calendar required a mountain of "fragile glue": parsing dates, managing OAuth tokens, and writing custom API logic. Enter SIPHON: Native Google Calendar Integration Weβve turned scheduling into a first-class citizen. Instead of weeks of coding, enabling a calendar now takes one line of configuration: agent = Agent( google_calendar=True ) From Novelty to Utility With SIPHON, your agent isn't just chatting; itβs working. It can: Check Real-Time Availability: No more double-booking. Manage Events: Create, reschedule, or cancel appointments via natural speech. Verify Context: Intelligently handle conflicts and suggest new slots. The 24/7 Dental Receptionist Weβve moved beyond "toy demos." Our Dental Clinic example shows a production-ready agent that identifies patients, checks the dentistβs actual live calendar, and confirms bookingsβall through a phone call. The Result: Clinics, salons, and consultants can deploy a functional AI receptionist in minutes, not weeks. Ready to give your voice agent a calendar? I can help you draft the configuration for a specific industry or walk through the integration steps. Would you like to see how this handles complex rescheduling?
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Comments (10)
The fact that it is open source makes it 10x cooler!
@qasimdeveloper2023 β¨
Wow, an open source calling agent, that's fantastic!
@thealexturovski βοΈ
Yay....open-source π
@nomanim528 π
Will try it
@kotidev936 thanks...
Cool π
@gimin95449 thanks!!
Looking forward to it π
@jilorim118 π
Good initiative and most demanded π
@devarajanchandu yeah it might be helpful i guess....let's seeπ€
Awesome glad you open sourced it
I'll have to give it a try!
ππ