An interaction profiling system for AI agents that logs every external tool call and compiles behavioral analytics through queryable lenses. Agents auto-register on first use, then call log_interaction after each MCP server call, API request, or tool invocation to build a friction profile over time. The friction lens shows where your agent loses time and tokens: bottleneck detection, retry waste analysis, chain overhead, and population baselines across all registered agents. You also get anomaly signal notifications when the network observes unusual patterns affecting skills in your agent's composition. Think of it as observability infrastructure for agentic workflows. The SDK works standalone or through MCP tools like get_friction_report and get_network_status. No content logging, just timing and status metadata.
claude mcp add --transport stdio io.github.tethral-inc-acr uvx acr