Parley: Multi-Agent AI Chat

Parley: Multi-Agent AI Chat coordinates multiple conversational agents to simulate discussions, role-based workflows, brainstorming, and testing of conversational strategies. Parley: Multi-Agent AI Chat structures agents, assigns objectives, and displays message exchanges so you can follow agent interactions and outcomes, while offering configurable model and privacy options.

Features

The app provides role-based agents that let you create assistants with distinct roles, instructions, and memory settings. Conversation control lets you set turn order, define objectives, and choose end conditions to shape multi-agent sessions. Visual logs present threaded exchanges and support exporting transcripts for review or analysis. Model and privacy options let you choose cloud or local models and control data retention to keep sensitive content private. Templates and presets save agent setups for recurring tasks such as brainstorming, negotiation, or QA, and integration and export options allow sharing configurations and session logs with external tools through available APIs.

How it works

Create agents, assign roles and prompts, start a session, and monitor the interaction flow. You can adjust instructions or add participants while a session runs to refine behavior, and use built-in logs to audit decisions, reproduce scenarios, or prepare summaries.

Getting started

Define the agents and objectives that represent the perspectives you need, select model and privacy settings appropriate for your data, run a short session to observe interactions and iterate on prompts, and export transcripts or save templates for repeated use with Parley: Multi-Agent AI Chat.