How to replay and analyze AI agent failures offline

How to replay and analyze AI agent failures offline

This task can be performed using AgentLens

See your AI agent's future before it fails.

Best product for this task

AgentL

AgentLens

dev-tools

AgentLens is an open-source debugging toolkit for AI agents that enables offline recording, replay, failure analysis, and cost tracking. Built for developers who need efficient, local-first debugging without consuming API credits.

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What to expect from an ideal product

  1. Records your AI agent's complete execution flow locally so you can replay any failed interaction without making new API calls
  2. Lets you step through each decision point in a failed agent run to pinpoint exactly where things went wrong
  3. Tracks API costs and token usage during failures so you can see which parts of your agent are burning through credits unnecessarily
  4. Stores all debugging data on your machine instead of sending it to external services, keeping your agent logic and data private
  5. Provides detailed logs and traces that show the full context around failures, making it easier to spot patterns across multiple failed runs

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