Grok Voice Agent Builder
Grok Voice Agent Builder is xAI’s no-code platform for configuring production voice agents on Grok Voice in under two minutes. It is built for operators and developers who want high-volume voice agents without building the surrounding stack from scratch, bringing telephony, knowledge retrieval, tools, guardrails, MCPs, and observability into one place. Instead of stitching together separate speech-to-text, language model, and text-to-speech APIs, Voice Agent Builder uses one interface on a speech-to-speech path built for Grok Voice, tightly coupled to the model rather than assembled from three different systems. Users can write a plain-language description of how calls should flow, attach documents, connect tools, set guardrails, and move quickly from zero to a working agent. It can retrieve from uploaded knowledge bases in common formats such as plain text, Markdown, Word, PowerPoint, Excel, HTML, JSON, and others.
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VoiceBun
VoiceBun is an open source, no-code voice-agent builder that lets you create, configure, and deploy AI-powered conversational assistants entirely via natural-language prompts. It combines speech-to-text, large-language models, and text-to-speech into a unified platform where you define your agent’s goals, initial greeting, tool integrations and data sources; VoiceBun automatically generates the underlying conversational logic, state management and API connectors needed to handle inbound and outbound calls for support, scheduling, lead qualification and more. The web-based interface gives you mobile-friendly access and isolated deployments through user-specific subdomains, while built-in analytics surface call transcripts, usage metrics, success rates, and sentiment trends. Integration includes options for telephony, webhook actions for external workflows, and role-based access controls with encrypted credentials for enterprise security.
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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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ECHO by Zencia AI
ECHO by Zencia is a SaaS platform for building, deploying, and managing production-ready AI voice agents. Create AI receptionists, sales agents, customer support assistants, recruiters, or custom AI voice employees without the complexity of integrating telephony, speech-to-text, large language models, text-to-speech, and workflow automation from scratch. ECHO combines persistent memory, custom knowledge bases, knowledge-gap detection, and intelligent workflows to deliver natural, context-aware voice conversations. Connect your CRM, calendars, and business tools to automate inbound and outbound calls, qualify leads, schedule appointments, answer customer queries, and execute business actions from a single dashboard. With multilingual support, analytics, call history, and centralized agent management, ECHO enables startups, SMBs, and enterprises to deploy scalable Voice AI that remembers context, takes action, and helps automate business communication.
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