VaxVoIP Agent AI SDKVaxSoft
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Related Products
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About
Dograh is an open source, self-hostable voice agent platform with a no-code workflow builder for creating production voice agents. Teams can choose their own inbound channels, speech-to-text, LLM, text-to-speech, and telephony providers, or replace the traditional cascade with speech-to-speech models for direct audio-in, audio-out conversations with natural turn-taking, interruption handling, and low latency. The platform supports inbound and outbound calling, widgets, telephony integrations, observability, traces, real-time analytics, hybrid pre-recorded voice plus TTS, and more than 70 languages. Its MCP server lets Claude Code, Cursor, OpenClaw, Codex, and other agent runtimes create, modify, and deploy voice agents directly from development environments. Dograh can run on your own servers, inside a private cloud or VPC, or in a managed environment, with support for models hosted entirely within your perimeter.
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About
VaxVoIP Agent AI SDK is a Windows software development kit for connecting SIP servers and IP-PBX systems to OpenAI Realtime speech-to-speech models. It bridges live SIP call audio with AI so developers can build multilingual telephone agents and commercial voice applications without implementing the low-level telephony and model connection themselves. The SDK includes technical documentation and sample projects for Visual C# .NET, Visual Basic .NET and Delphi. Supported use cases include AI receptionists, customer service and information agents, outbound voice agents, and smart IVR applications. It is intended for developers, VoIP providers and businesses creating voice-agent solutions for existing telephony environments. A 30-day functional trial is offered; commercial licenses are sold annually by call capacity and service scope.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers, businesses, and regulated organizations seeking to build, customize, deploy, and self-host production voice AI agents with control over models, integrations, telephony, and data
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Audience
Developers, VoIP providers and businesses building AI voice agents for SIP servers, IP-PBX systems and call centers.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
1¢ per minute
Free Version
Supported
Free Trial
Not Supported
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Pricing
$1,480/year
The 10-concurrent-call license is $1,480 per year for one service. Annual licensing includes technical support, SDK updates, new releases, maintenance, improvements, and bug fixes. Higher-capacity and enterprise license tiers are available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDograh
United States
www.dograh.com
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Company InformationVaxSoft
Founded: 2004
Pakistan
www.vaxvoip.com/agent-ai-sdk
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Alternatives |
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Categories |
Categories |
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Integrations
OpenAI
Supported
Amazon Web Services (AWS)
Supported
Cartesia Sonic
Supported
Codex CLI
Supported
Cursor
Supported
Deepgram
Supported
Gladia
Supported
Google
Supported
Hugging Face
Supported
Inworld
Supported
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Integrations
OpenAI
Supported
Amazon Web Services (AWS)
Not Supported
Cartesia Sonic
Not Supported
Codex CLI
Not Supported
Cursor
Not Supported
Deepgram
Not Supported
Gladia
Not Supported
Google
Not Supported
Hugging Face
Not Supported
Inworld
Not Supported
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