Visualizing AI Agent Reasoning: From CLI Chaos to Interactive Flowcharts

The 'Black Box' Problem in Agentic AI As developers, we are increasingly relying on CLI-based agents like Claude Code to automate complex tasks. However, as these agents gain more autonomy, debugging them becomes a nightmare. You’re often left staring at thousands of lines of terminal output, trying to figure out exactly where the reasoning went sideways or why the agent is stuck in a non-deterministic loop. Why CLI Logs Aren't Enough Standard terminal logs are linear, but agentic reasoning is branching and recursive. When an agent decides to pivot its strategy, that context is often lost in the scroll-back buffer. We need a way to see the state , the decision nodes , and the loops visually. Introducing Agent Flow Visualizer Agent Flow Visualizer was built to bridge the gap between 'CLI output' and 'Mental model.' It intercepts the JSON logs from your agent and renders them into an interactive, node-based flowchart. How It Works: Log Parsing: The tool ingests structured logs (currently