Building a multi-agent concierge system

An open-source multi-agent chatbot system has been developed to tackle complex tasks by delegating responsibilities among specialized agents. The system comprises four task-specific agents for stock lookup, user authentication, account balance checking, and money transfer, each managing their respective sub-tasks. To streamline user interaction, three meta-agents are employed: a concierge agent guides users initially, an orchestration agent determines the appropriate task agent to engage, and a continuation agent ensures completion of multi-step tasks by tracking chat history and prompting subsequent actions. A global state manages user context and task progression across all agents, facilitating seamless task execution. The system is designed to handle intricate dependencies, allowing agents to communicate indirectly through a structured flow, thereby simplifying the user experience in executing multiple related tasks.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.