Unverified50% confidenceOpinionExact time
The signal-to-noise ratio of information returned by tools is one of the key factors affecting an agent's long-horizon performance.
1
Sources
50%
Confidence
Long-term
Relevance
9/10/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedReAct的思考—行动—观察循环机制使Agent在处理多步骤复杂任务时表现出更高可靠性，显著减少幻觉和错误累积68% similarUnverifiedThe prompt caching mechanism provided by Anthropic allows repeatedly occurring long system prompts or skill definitions to be cached on the server side, with subsequent calls only needing to transmit the differing portions.67% similarUnverifiedKey technologies for long-horizon agents include state representation learning, goal alignment mechanisms, and error detection and recovery strategies (checkpoint mechanisms, sub-goal verification, and rollback strategies)66% similarUnverifiedThe effectiveness of an ideal human-in-the-loop (HITL) mechanism depends on the latency and granularity of the feedback loop, requiring a balance among real-time responsiveness, expressiveness, and user burden.66% similarUnverified挂载方案的性能提升来自数据获取路径的优化而非模型推理能力改变，Trace显示Agent只是花更少时间遍历应用数据66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/890355API
curl https://kongchang.com/api/v1/knowledge/claims/890355MCP
get_claim(id=890355)