Match people and tools to problems with contextual awareness.
This agent type utilizes a combination of graph traversal and embedded semantic search over structured team/project metadata. You can ask: “Who has experience with battery safety validation?” or “What team worked on similar components last year?”
It’s powered by DCH’s integration of internal knowledge and M4AI’s reasoning memory that learns from usage patterns.
Practical Example: A project manager planning a new initiative queries the Team Navigator for available experts in embedded diagnostics. The agent outputs candidates with relevant history and tool proficiency, streamlining staffing decisions.