Dograh
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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Leadlock
Leadlock is a speech-to-speech voice AI platform built specifically for GoHighLevel agencies, helping them answer every call, qualify leads, book appointments, and update GHL pipelines in real time. Unlike traditional voice AI stacks that chain speech-to-text, an LLM, and text-to-speech, it supports true multimodal speech-to-speech through OpenAI Realtime and Gemini Live, alongside xAI Grok and ElevenLabs options, enabling sub-second latency, natural turn-taking, and interruptions. Agencies can choose from more than 72 voices across multiple providers and select different models for different agents and use cases. Native GoHighLevel integration connects contacts, calendars, pipelines, opportunities, tags, custom fields, workflows, and sub-accounts without middleware or Zapier-style glue. Before answering, agents can pull caller history and CRM context to personalize conversations from the first ring.
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Higgs Audio / Avatar
Higgs Audio / Avatar is a family of foundation audio and avatar models designed to generate natural speech, understand tone, emotion, and intent, and give voice interactions a visual presence. The models support text-to-speech, speech-to-text, avatar generation, and automatic voice casting that selects an appropriate voice based on context, sentiment, and content. Built for real-world production, Higgs combines expressive generation, robust speech understanding, and flexible deployment for workloads where quality, latency, and reliability matter. High-accuracy multilingual speech recognition supports major languages, while voice cloning reproduces a speaker’s tone from short reference samples to maintain consistent brand voices across interactions. Sentiment detection reads emotional signals in speech to enable smarter routing, stronger analytics, and more context-aware agent behavior.
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Vision Agents
Vision Agents is an open source Python framework for building low-latency voice and video AI agents with any model. It lets developers plug in LLM, speech, and vision models from more than 25 providers and ship real-time agents for telehealth, voice support, live coaching, video analysis, interactive avatars, security monitoring, sports commentary, and other multimodal applications. It is designed to help teams build agents that can listen, speak, see, process media, call tools, and respond in real time while running on Stream’s global edge network with sub-500ms latency. Developers can build a first agent in minutes, using a small Python setup with Gemini Realtime, OpenAI, Deepgram, ElevenLabs, Stream, or other supported providers. Vision Agents supports both real-time speech-to-speech models and custom STT/LLM/TTS pipelines, giving teams either the fastest path to a working voice agent or full control over speech recognition, language reasoning, text-to-speech, etc.
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