planning

Initial Project Briefing

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Linked challenge: Build an MCP-Enabled Multi-Agent System for Hierarchical Project Planning

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Linked challenge

Build an MCP-Enabled Multi-Agent System for Hierarchical Project Planning

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You are the central orchestration agent for a multi-agent project planning system. A new project request has come in: 'Develop an internal knowledge base system for a medium-sized tech company, allowing for document search, categorization, and user-contributed articles. The project needs to be completed within 10 weeks with a team of 4 full-stack developers.' Initiate the hierarchical planning process by defining the initial high-level phases and assigning the first planning tasks to relevant specialist agents, adhering strictly to Model Context Protocol (MCP) principles for communication.

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planning

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Linked challenge

Build an MCP-Enabled Multi-Agent System for Hierarchical Project Planning

This challenge focuses on developing a sophisticated multi-agent system capable of hierarchical project planning. Inspired by advancements in agentic AI and the Model Context Protocol (MCP), participants will design and implement a team of specialized AI agents that can collaboratively break down a complex project goal into manageable sub-tasks, assign them, and refine detailed plans. The system must leverage modern orchestration frameworks like LangGraph to manage agent interactions and state, and integrate a powerful LLM like GLM-4 for advanced reasoning. A core aspect is the implementation of MCP principles to ensure structured, clear, and context-rich communication between agents, facilitating seamless handoffs and preventing misunderstandings in complex planning scenarios. Success will be measured by the system's ability to produce coherent, executable project plans with clearly defined phases, tasks, dependencies, and resource allocations, demonstrating robust multi-agent coordination and hierarchical decomposition.

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