Unverified50% confidenceFactExact time
Compared with single-agent systems, multi-agent systems need to additionally handle issues such as communication protocols, deadlocks and looping dialogues, and goal conflicts among roles.
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50%
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Long-term
Relevance
10/30/2026
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Related Claims
UnverifiedIn LLM-based multi-agent systems, there are three main methods of inter-Agent communication: shared memory, message passing, and blackboard systems.73% similarUnverifiedIn a multi-Agent system, the adapter layer can shield differences among different Agents in communication protocols, session management, and event formats, providing a unified invocation interface externally.73% similarUnverifiedIn the LLM context, each agent in a multi-agent system is typically a model instance with a specific role, tool access permissions, and reasoning capabilities, and they can exchange information through shared context, message passing, or a blackboard architecture.72% similarUnverifiedCommon multi-agent system topologies include star topology (one orchestrator assigns tasks to multiple executors), chain topology (agents pass tasks sequentially), and mesh topology (agents can communicate freely with one another), with mesh topology's communication complexity growing at O(n²).72% similarUnverifiedConnecting two agent sessions running on different machines is fundamentally a distributed systems problem, requiring solutions for the transport layer, persistent dehydration, and runtime binding.70% similar
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