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ClawLens is an observability and debugging plugin designed specifically for the OpenClaw. It runs directly within the OpenClaw gateway to silently capture, structure, and visualize data about your agents' behaviors without requiring you to change any agent code or set up external databases. At its core, the plugin is designed to help you understand exactly why an AI agent made a specific decision. It does this by providing: Session Replays: A structured, turn-by-turn breakdown of every agent session. It annotates every message, LLM call, and tool execution with their exact token counts, costs, and latencies. Live Monitoring: Real-time dashboards that track agent health, current token usage, scheduled cron jobs, and delegation relationships between multiple bots. Cross-Session Analytics: Aggregated data that helps you spot broader trends, such as high tool failure rates, latency bottlenecks, retry loops, and unexpected cost spikes across all your agents. Memory Browsing: A tool to track how agents modify and update their workspace files over time. Because it operates natively and uses a local SQLite database, ClawLens requires zero additional infrastructure and introduces practically zero latency overhead to your workflow.