Expired50% confidenceFactExact time
Early agent products mostly adopted the ReAct (Reasoning + Acting) loop pattern, but this pattern has problems such as a single-step failure causing a global collapse and the context growing larger with each step.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/3/2026
First Seen
Valid until: 10/1/2026(expired)
Sources
Harness Engineering Architecture Explained: An Essential Skill for AI Agent Developer Roles
bilibiliAI大模型升升7/1/2026
Related Claims
UnverifiedAgent的失败-修正-再尝试过程被称为ReAct（Reasoning + Acting）模式或反思循环72% similarUnverified在长链路任务中，纯ReAct范式会因每步微小偏差被放大形成'幻觉漂移'，逐渐偏离原始意图71% similarUnverified典型的Agent框架如ReAct、AutoGPT、LangGraph采用感知-推理-行动的迭代模式，上下文随轮次累积导致后期每轮Token消耗呈线性甚至指数增长71% similarUnverifiedCompared to the traditional plan-execute separation pattern, the greatest advantage of the ReAct paradigm lies in fault tolerance, allowing dynamic correction of subsequent plans based on tool return results.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/61896API
curl https://kongchang.com/api/v1/knowledge/claims/61896MCP
get_claim(id=61896)