Feed Entities Podcasts Deep Dives Developers About

[KongchangAI]

Real-time AI knowledge base. Every claim is traceable to its source, with data freshness under 24 hours.

Powered by 240+ first-hand AI sources

Knowledge

Feed
Hot Entities
Podcasts

Developers

CLI
MCP Server
REST API
About

© 2026 KongchangAI. The freshest, most accurate AI knowledge

Unverified50% confidenceTradeoffExact time

Agent间通信会导致上下文窗口线性增长使成本呈指数级攀升，以及长对话链中的「目标漂移」现象

1

Sources

50%

Confidence

Long-term

Relevance

7/18/2026

First Seen

Sources

Loop Engineering实战：多Agent协作开发系统设计与工程落地

Related Claims

UnverifiedAs multi-turn tool calls and conversations accumulate in Agent tasks, context expansion causes inference costs to rise exponentially and response latency to increase80% similar Unverified多轮对话中第N轮的输入成本是前N-1轮内容的总和，累积效应会导致成本抛物线式增长73% similar Unverified超长上下文窗口的KV缓存显存占用随上下文长度线性增长，导致推理延迟和成本显著上升72% similar Unverified多Agent并行实例数量的增加将使API调用成本线性甚至超线性增长69% similar UnverifiedAgent交接时传递上下文过多会增加Token消耗和延迟，传递过少则导致接手Agent缺乏关键背景69% similar

Cite This Claim

Stable URI

https://kongchang.com/claim/552318

API

curl https://kongchang.com/api/v1/knowledge/claims/552318

MCP

get_claim(id=552318)