Unverified60% confidenceFactExact time
In LLM-based multi-agent systems, there are three main methods of inter-Agent communication: shared memory, message passing, and blackboard systems.
2
Sources
60%
Confidence
Long-term
Relevance
8/19/2026
First Seen
Sources
多智能体系统的设计模式与常见陷阱深度解析
Related Claims
UnverifiedIn 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.76% similarUnverified在现代LLM对话架构中消息被划分为System、User和Assistant三个角色层级，其中System Prompt处于最高权重层级74% 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.72% similarUnverifiedThe multi-agent system contains four modules: shared task coordination, structured handoff, verification gates, and local usage telemetry.66% 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.65% similar
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