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Agent Memory Corruption Across Long-Running Sessions : Context Integrity Under Compression Pressure
TypeScriptOpenAI APISQLiteZod
Problem Breakdown
The core defect is that the agent's working memory is lossy by design: context budgets force compression, and the compression policy is blind to which information is load-bearing for the current task. LLM agent loops append every tool result, observation, and intermediate reasoning to a rolling context window; past the…
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