Verified65% confidenceFactExact time
The orchestrator-plus-executor division of labor is a classic pattern in multi-agent systems, widely adopted by frameworks such as AutoGPT, CrewAI, and LangGraph.
3
Sources
65%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Related Claims
UnverifiedTypical multi-agent implementation frameworks include AutoGen, CrewAI, and LangGraph, which allow developers to assign different role prompts to each agent and coordinate information flow through message queues or shared memory.75% similarVerifiedDevelopment frameworks such as LangChain, AutoGPT, and Cursor pre-register callable tool functions and inject tool descriptions into the model context.73% similarUnverifiedSome frameworks, such as LangGraph and AutoGen, achieve process reuse through explicit workflow definitions, while others rely on the agent's long-term memory system to automatically summarize workflows.71% similarUnverifiedGeneral-purpose agents typically integrate a large language model as the core reasoning engine and achieve end-to-end automation of complex tasks through modules such as tool invocation, memory management, and task planning.71% similarUnverifiedMulti-agent systems adopt a hierarchical orchestration pattern, namely the coordinator-executor pattern, and Grokbot has adopted this pattern.70% similar
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