Context Compaction Visualizer: See Exactly What Your AI Agent Forgot Before It Costs You (opens in new tab)

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. And somewhere in those discarded turns is a security finding, a constraint, a decision that the rest of the session quietly proceeds without. Context Compaction Visualizer makes that process visi...