Unverified50% confidenceFactExact time
When an agent makes more than 10 consecutive tool calls, the traditional Chat API loses the model's internal chain of thought between turns, causing reasoning amnesia.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedCurrent mainstream large language model-driven agents maintain memory through a context window, and once information exceeds the context window the agent loses that memory, potentially causing goal drift or going in circles.75% similarVerifiedMulti-turn conversation configuration addresses the context memory problem, determining how many rounds of historical information an agent can retain during continuous dialogue.75% similarUnverifiedMemory injection consumes context tokens, which is a trade-off of spending tokens to reduce tool-call conversation turns and the need to search through content.75% similarUnverifiedIn long-chain, multi-iteration autonomous agent tasks, models repeatedly read and write large volumes of conversation history for self-verification, error recovery, and context maintenance, causing token consumption to far exceed single-turn Q&A scenarios (token inflation).72% similar
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