AI Agent Context Compaction: Preserve State Before Long Runs Forget It
Long-running agents do not usually fail because they run out of clever ideas. They fail because a context window fills, an automatic summary replaces the working history, and the next turn no longer knows which facts are commitments, which writes are uncertain, and which approval is still pending.…
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- 2026-11-07 03:36 · DEV Community — AI
AI Agent Context Compaction: Preserve State Before Long Runs Forget It