agentrecap is a developer tool designed to analyze local coding-agent sessions. Created by Arnav Bansal, it provides deep analytics into AI agent performance and interaction metrics that go beyond basic API cost tracking.
By evaluating local agent workflows, agentrecap offers clear data on how coding agents interact with your environment, helping developers audit, optimize, and better understand AI-assisted software development activities.
agentrecap is a tool for developers to analyze local AI coding-agent sessions, offering performance and usage telemetry beyond standard cost tracking.
agentrecap tracks run durations, tool calls made by the AI agent, lines of code touched during a session, and the number of messages per thread.
agentrecap was created by Arnav Bansal, a Computer Science student at the University of Illinois.
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CS Student @ University of Illinois
