Parley FAQs

Question 1

What is Parley?

Accepted Answer

Parley is a Model Context Protocol (MCP) server designed to orchestrate multi-agent, multi-LLM parley sessions, providing a shared orchestration contract for models like Codex, Claude, and Gemini. It enables seamless coordination and archival of AI conversations.

Question 2

Which Large Language Models (LLMs) does Parley support?

Accepted Answer

Parley is built for interoperability with leading LLMs such as Codex, Claude, and Gemini. It uses real subprocess adapters and shared structured output validation to ensure consistent performance across these diverse models.

Question 3

Can Parley be used for complex, multi-step AI workflows?

Accepted Answer

Yes, Parley is designed for complex workflows, featuring resume ID persistence, rolling summary accumulation, structured conclusions, and operator-facing diagnostic inspection with replay/repair guidance. This allows for robust multi-step session continuation and recovery.

Question 4

How does Parley manage session state and memory?

Accepted Answer

Parley centralizes session state management on the server, utilizing filesystem-backed storage for workspace, topic, and parley session data. This architecture ensures workspace memory survives individual orchestrator sessions, enabling features like topic-memory search and multi-step continuation.

Question 5

What are the key benefits of using Parley for LLM orchestration?

Accepted Answer

Parley offers vendor-agnostic interoperability, freeing you from client or vendor lock-in. It provides persistent workspace memory, safe concurrent orchestration with lease primitives, and a structured tool surface for robust session management and diagnostics.

Parley

Parley

Key Features

Use Cases

Key Features

Use Cases