Context Compaction Visualizer: See Exactly What Your AI Agent Forgot Before It Costs You

When an AI agent runs for many turns, it eventually hits context limits and must compress or discard earlier messages. This is often invisible, yet critical - lost context can cause the agent to forget constraints, user preferences, or prior decisions. The framework moves on. The agent keeps running

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