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6/23/2026

Context Compaction Visualizer: See Exactly What Your AI Agent Forgot Before It Costs You
Short summary
Context Compaction Visualizer is a debugging platform that exposes how long-running AI agents compress or discard context when hitting token limits. Upload traces from LangSmith, OpenTelemetry, AgentOps, or custom formats to visualize which messages were retained, compressed, or dropped—and the cost in tokens. Includes token analytics, session replay with compaction diffs, and Claude-powered information loss detection.
- •Visualizes context compression in long-running AI agents through execution trace analysis
- •Supports four trace formats: LangSmith, OpenTelemetry, AgentOps, and custom JSON
- •Includes token analytics, session replay, and Claude-powered information loss detection
Generated with AI, which can make mistakes.
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