Expired70% confidenceFactExact time
Modern Agent systems can maintain a context window of up to tens of thousands of tokens within a single session and perform multi-step logical decomposition of complex experimental plans through chain-of-thought reasoning mechanisms
4
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
7/18/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/16/2026(expired)
Sources
Related Claims
UnverifiedModern Agent systems typically adopt a Multi-step Reasoning architecture that decomposes complex tasks into multiple sub-steps.82% similarVerifiedAn Agent's planning module can decompose complex tasks into executable sub-steps, which is a key feature that distinguishes it from simple dialogue systems.76% similarUnverifiedAgent系统通过ReAct、Chain-of-Thought等框架，让大语言模型在多轮循环中逐步分解和解决复杂任务76% similarUnverified使用多个独立线程可提升Agent效率，每个新线程拥有全新的上下文环境，一个已占用12万Token上下文的智能体表现远不如全新启动的智能体76% similarUnverifiedCompared to single-turn dialogue, Agent systems introduce three additional dimensions: memory, tool invocation, and planning.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/550783API
curl https://kongchang.com/api/v1/knowledge/claims/550783MCP
get_claim(id=550783)