AI agents flourish within ecosystems, surrounded by peers, systems, and users, where they build collaborative networks to address complex tasks and goals. These networks rely on coordination patterns and an innovative structure called the agent mesh—a set of pre-built agents offering common services that others can tap into.
Coexisting in a Shared Space
Agents operate together in environments designed for their collective purpose, each playing a distinct role.
- In a smart office, one agent books meeting rooms, another adjusts lighting, and a third handles video calls, all within the same workspace.
- In a logistics hub, agents track shipments, optimize routes, and manage fuel, sharing the goal of timely deliveries.
- This shared space allows them to focus on their strengths while depending on the ecosystem to tie it all together.
Forming Collaborative Teams with Coordination Patterns
Agents connect to solve bigger problems, using specific coordination patterns to organize their efforts.
- A supervisor pattern puts one agent in charge—like a lead agent directing a team of drones to split a search area efficiently.
- In a peer-to-peer pattern, agents negotiate directly, such as two factory agents agreeing on who handles a rush order based on capacity.
- These patterns—whether hierarchical, distributed, or hybrid—ensure teamwork stays smooth and purposeful.
Sharing Resources and Knowledge
Agents in the ecosystem exchange what they have, strengthening the network as a whole.
- An agent with spare memory might share it with another processing a large dataset, like pooling power for a weather model.
- One that discovers a faster sorting method can teach it to others, raising the bar for everyone’s performance.
- This open exchange keeps resources and know-how circulating, lifting the group’s capabilities.