deep-dive

How Chat Sessions Function for Human-Agent Communication in Multica

April 11, 2026 multica-ai/multica ↗

Chat sessions enable persistent human-agent conversations through SQL-backed storage, asynchronous task queues, and WebSocket broadcasts that synchronize the React frontend with agent replies.

Multica implements a comprehensive chat session architecture that coordinates database persistence, Go backend handlers, and real-time frontend updates to facilitate seamless human-agent communication. The system combines the chat_session and chat_message tables with an agent_task_queue to manage conversation state asynchronously. This article examines the end-to-end flow from session creation through task completion, referencing specific implementation files from the multica-ai/multica repository

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