AgentLantern: exposing the hidden graph of AI agent projects [P]

AI agent frameworks make it easy to create agents, tasks, tools, and workflows. But as soon as a project grows beyond a few agents, the real execution graph becomes difficult to understand. The issue: agent projects often hide their structure across code, YAML files, tool definitions, task dependencies, and framework-specific abstractions. At runtime, the situation becomes even harder: logs rarely provide a clear view of which agent did what, which tool was called, where the failure happened, or how the execution evolved.