DialogLab – Authoring and testing multi-party human-AI conversations

Summary: DialogLab is an open-source research prototype from Google Research that enables designing, simulating, and testing dynamic group conversations involving humans and AI agents. It provides a unified interface to configure conversational scenes, manage agent roles, and control turn-taking, supporting both scripted and improvisational dialogue.

What it does

DialogLab offers a visual scene builder to arrange participants, roles, and subgroups, along with snippet-based flow control to segment conversations into phases with specific turn-taking rules. It supports human-in-the-loop simulation with real-time AI response suggestions and a verification dashboard that visualizes turn distribution and sentiment flow.

Who it's for

It is designed for game developers, educators, researchers, and product teams working on multi-agent dialogue systems, AI-simulated practice environments, or group dynamics studies.

Why it matters

DialogLab addresses the limitations of single human-AI interaction models by enabling realistic multi-party conversations, improving engagement and effectiveness in AI dialogue design.