Unverified50% confidenceSolutionExact time
It is recommended to use a hybrid architecture with DAG as the backbone and locally applying ReAct within individual Agents when tool calls are needed, balancing macro-level process determinism with micro-level task flexibility.
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
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Related Claims
Unverified当前 Agent 系统大多是 DAG（有向无环图）式的工作流编排，其智能来自底层模型而非自身积累74% similarUnverifiedA DAG (Directed Acyclic Graph) uses nodes to represent Agent tasks and directed edges to represent task dependencies; legal execution order is derived through topological sorting, and nodes with no dependencies can be executed in parallel.71% similarUnverifiedAutonomous Agent（如ReAct架构）依赖大模型在运行时动态决定下一步调用哪个工具，灵活性强但不确定性高，Token消耗更大70% similarVerifiedAn Agent is an application-layer architecture built on top of an LLM that enables the model to decompose complex tasks, invoke external tools, maintain context state, and iteratively optimize results by introducing mechanisms such as Planning, Memory, Tool Use, and Reflection.68% similar
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