Deepmiro is an open-source MCP (Model Context Protocol) server that simulates hundreds of AI agents, each with unique personas and memories, to forecast how communities might react to events, policies, or documents. It is especially valuable for researchers, policy analysts, and strategists who want to model societal reactions, behaviors, and emergent group dynamics from a variety of inputs (like policy drafts, reports, or hypothetical scenarios). Deepmiro exposes a full simulation suite: you can upload a document, initiate multi-agent simulations, extract reports, interactively query simulated agents, and retrieve granular, structured prediction data. It integrates with Claude, Cursor, VS Code, and any MCP-compatible client. The backend utilizes Python, SurrealDB for graph/vector/document storage, and supports any OpenAI-compatible LLM provider. Hosted and self-hosted deployment options are available.
Visit Deepmiro's official website for product details and getting started.