▎AI & Multi-Agent
Agent-to-Agent Protocol/ A2A
Communication pattern for autonomous agents to negotiate tasks, exchange state, and request support.
Definition
Agent-to-Agent Protocol is communication pattern for autonomous agents to negotiate tasks, exchange state, and request support. In defense applications, it lets heterogeneous agents from different vendors cooperate without bespoke glue code. The hard part is semantic mismatch, trust failure, and coordination storms at scale, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a candidate interface for KhanBMS Arban-to-Zuun software coordination, tying the concept back to modular command, edge execution, and auditable authority.
Reference attributes
- Layer
- agent interoperability protocol
- Operational value
- Lets heterogeneous agents from different vendors cooperate without bespoke glue code
- Primary risk
- Semantic mismatch, trust failure, and coordination storms at scale
- KhanBMS role
- A candidate interface for KhanBMS Arban-to-Zuun software coordination
Related terms
- Model Context Protocol (MCP)Open protocol pattern for exposing tools, resources, and prompts to model agents through standard interfaces.
- Contract Net ProtocolFoundational task-announcement, bid, and award protocol for multi-agent systems.
- Role AssignmentAlgorithmic allocation of scout, relay, decoy, strike, and reserve roles across autonomous assets.
- Consensus Algorithms for AIProtocols that let distributed AI nodes agree on shared state, leaders, or decisions despite latency and loss.
#protocol#agents#interop
