Enables users to leverage a mixture-of-agents architecture where multiple AI models discuss a question in parallel and a president model synthesizes the best answer.
Enables AI coding agents to read each other's conversation history read-only and sanitized, so you can continue work across different tools without re-explaining context.
Enables AI coding agents to collaborate on the same project by sharing session briefs and reading each other's native transcripts, memories, and instructions in place, with zero-copy, across different agent tools.
Enables multi-round brainstorming debates between multiple AI models like GPT, DeepSeek, and Ollama to produce synthesized final outputs. Users can orchestrate parallel model interactions where AI agents critique and refine each other's ideas to reach a consolidated conclusion.
Enables multi-model LLM council reviews and parallel sidecar conversations within Claude, allowing Claude to orchestrate structured reviews from various AI models and fold their responses back into the session.