Unverified50% confidenceFactExact time
Chat context is not a reliable state store—it gets truncated, summarized, and reinterpreted, and cannot serve as a source of truth for long-term projects.
1
Sources
50%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
Related Entities
Related Claims
Unverified对话历史与活动日志可能由不同后端系统维护，存在异步写入与最终一致性问题，可能导致数据不一致70% similarVerifiedWhen conversation history exceeds the context window limit, platforms use engineering methods such as truncation and summary compression to trim the context, a process that inevitably loses detail information.69% similarUnverifiedWhen context becomes too long, history should be organized in segments while retaining recent results, and if necessary a new web conversation with progress should be continued; when the response format is wrong, return it to the model for correction, and if it is still wrong, stop—never execute by guessing.69% similarVerifiedThe Memory mechanism addresses the problem of information loss in long-term conversations caused by limited context windows by compressing and summarizing historical conversations to retain key logic and core facts.68% similarUnverifiedContext loss in online customer service often stems from improper token window management in multi-turn conversations; when conversation history exceeds the model's context window, the Agent will lose memory if there is no memory compression or summarization mechanism67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/959984API
curl https://kongchang.com/api/v1/knowledge/claims/959984MCP
get_claim(id=959984)