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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Dograh is a self-hostable voice agent platform that is open source and features a no-code workflow builder designed for developing production-ready voice agents. Teams have the flexibility to select their preferred inbound channels, speech-to-text services, language models, text-to-speech options, and telephony providers, or they can opt for innovative speech-to-speech models that facilitate direct audio interactions with seamless turn-taking, interruption management, and minimal latency. The platform caters to both inbound and outbound calling, offering widgets, telephony integrations, observability, tracing capabilities, real-time analytics, and a hybrid approach that combines pre-recorded voice with TTS, all while supporting over 70 languages. Additionally, the MCP server enables various agent runtimes, including Claude Code, Cursor, OpenClaw, and Codex, to create, modify, and deploy voice agents directly from development environments. Dograh can be operated on personal servers, within a private cloud or virtual private cloud, or in a managed setting, ensuring that models can be hosted entirely within the user's infrastructure. With its extensive features and adaptability, Dograh stands out as a versatile solution for teams looking to innovate in voice technology.

Description

Proof is a collaborative document editor designed for both agents and humans to work together seamlessly. It allows teams to have a unified document where AI and human contributors can write, suggest modifications, leave comments, and monitor contributions. With each character's authorship clearly identified through a colored gutter, users can easily differentiate between text written by humans and that generated by AI. When AI makes changes, Proof presents these as suggestions similar to the track changes feature, enabling users to review and accept or reject each edit individually. Additionally, AI agents can comment on specific sections to provide explanations, raise queries, highlight concerns, or engage in discussions directly within the document. Users have the ability to create a document and share a link with various agents such as Claude Code, ChatGPT, Codex, or OpenClaw, facilitating collaboration through a shared workspace rather than exchanging .md files. Whether for bug reports, product requirement documents, implementation strategies, research summaries, growth analytics, content evaluations, strategic plans, memos, or proposals, Proof effectively supports a wide range of uses. This innovative tool is particularly beneficial for teams looking to enhance their collaborative processes while maintaining clear authorship and feedback mechanisms.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
OpenClaw Yes 
Assembly Yes 
Calendly Yes 
Cartesia Sonic Yes 
Cloudonix Yes 
Codex CLI Yes 
Gemini Yes 
Gladia Yes 
Groq Yes 
Hugging Face Yes 
Inworld Yes 
Langfuse Yes 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
OpenAI Codex No 
OpenRouter Yes 
Speechmatics Yes 
Telnyx Yes 
Twilio Yes 

Integrations

Claude Code Yes 
OpenClaw Yes 
Assembly No 
Calendly No 
Cartesia Sonic No 
Cloudonix No 
Codex CLI No 
Gemini No 
Gladia No 
Groq No 
Hugging Face No 
Inworld No 
Langfuse No 
Model Context Protocol (MCP) No 
OpenAI No 
OpenAI Codex Yes 
OpenRouter No 
Speechmatics No 
Telnyx No 
Twilio No 

Pricing Details

1¢ per minute
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Dograh

Country

United States

Website

www.dograh.com

Vendor Details

Company Name

Every

Founded

2020

Country

United States

Website

proofeditor.ai/

Product Features

Product Features

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