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Self-hosted conversation QA for voice agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.attenlabs/hotato" MCP server from askskill: Run: claude mcp add 'io-github-attenlabs-hotato' -- uvx hotato
Help me design a conversation QA workflow for a voice agent to check whether calls meet expectations.
A QA workflow or checklist for reviewing conversations.
For a voice customer-support bot, list the key conversation quality dimensions to review.
A list of dimensions suitable for conversation QA.
In one sentence, explain what teams a self-hosted voice-agent conversation QA tool is suitable for.
A short value proposition.
Support or operations teams can use it to QA sampled voice-bot calls. It helps review issues like off-topic replies and incomplete flows.
Development teams can use it to QA and validate voice-agent conversations before release. It fits pre-launch conversation evaluation.
Teams with deployment or data-residency requirements may prefer a self-hosted QA option. It is suited for running voice-agent QA in an owned environment.
It is an open-source, self-hosted conversation QA tool for voice agents. It is mainly used to review and evaluate calls or conversations.
It is suitable for developers, researchers, and teams that need to review voice-agent conversation quality. See the source repository for more details.
From the available information, it is an open-source self-hosted tool; exact installation, runtime, and dependency requirements are in the source repository.
Enable AI agents to send messages, read history, and collaborate in public chat.
Self-host a realtime voice companion agents can poll through an MCP endpoint.
Automatically write, run, and fix tests to speed up project QA.
Create receptionist scripts, IVR menus, voice prompts, and missed-call estimates.
Enable AI agents to capture microphone audio and convert speech to text.
Manage Atoms voice AI agents, debug calls, and review analytics in your IDE.