When Agent Context Goes Stale: Incoherence in Volatile Agent Context
Modern agents increasingly ground their reasoning in observations returned by tools, such as file contents read from a workspace. However, the data sources underlying these observations may later be modified by users, other agents, or external tools, while the model retains only the stale content in its context window. Existing agent runtimes provide little support for notifying the model that a previously observed fact has become stale, causing agents to reuse outdated observations and make incorrect claims about the current workspace state. We propose Concord, a context coherence framework that maintains the consistency between tool observation in agent context and the mutable sources f...
| Authors | Yingying Liu, Junzhou Fang, Chenxiong Qian |
|---|---|
| Primary category | cs.AI |
| Published | 4 October 2026 |
| Last updated at source | 6 October 2026 |
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