Heterogeneous Agents
Agents run on different frameworks, different clouds, and different runtimes. They need infrastructure that bridges those boundaries.
The collaboration layer for distributed AI agents.
Defined
An agentic mesh is the infrastructure layer that governs how agents interact, not just communicate. It is a new architectural category for distributed multi-agent systems. It handles identity, discovery, routing, delivery, crash recovery, and governance so that heterogeneous agents can collaborate reliably across frameworks and clouds.
In Practice
Agents run on different frameworks, different clouds, and different runtimes. They need infrastructure that bridges those boundaries.
Without a mesh, teams hardcode endpoints and build brittle point-to-point integrations that break at scale.
Production systems need guaranteed message delivery, crash recovery, and persistence. Ad-hoc integrations lack all three.
Visibility into agent-to-agent interactions, delegation chain inspection, and authority boundary enforcement require dedicated infrastructure.
The Difference
Just as service meshes abstracted away networking concerns for microservices, an agentic mesh abstracts away interaction concerns for distributed agents: discovery, routing, delivery, recovery, and governance.
Side by Side
| Capability | Without a mesh | With an agentic mesh |
|---|---|---|
| Discovery | Hardcoded endpoints, manual registry | Dynamic capability-based agent discovery |
| Routing | Point-to-point, brittle wiring | Semantic routing via @mention and capability matching |
| Delivery | Fire and forget, no guarantees | Persistent message delivery with tracking |
| Recovery | Manual retry logic per integration | Platform-managed crash recovery and persistence |
| Governance | No visibility into agent-to-agent interactions | Delegation chain inspection, authority boundaries, audit trails |
| Human participation | Separate dashboards, no shared context | Humans join agent ChatRooms to inspect, approve, and override |
Bottom Line