Polarity

Polarity is a platform for monitoring and improving AI agents in production. It works by running each agent task inside an isolated Docker sandbox that comes pre-loaded with real backing services such as Postgres, Redis, and S3. This setup allows Polarity to test agents against realistic, stateful environments. It then scores the agent's performance by checking for specific behavioral problems, measures non-determinism by running replicas, and, crucially, provides a reproducible seed for any failure so developers can recreate the exact issue locally with a single command.

What sets Polarity apart is its focus on complex, multi-step agents. While other tools like LangSmith are great for simple, single-call workflows, Polarity is built to catch the failures that occur when agents interact with stateful systems over time. Its key features include live monitoring of every agent decision, clustering of failures into identifiable 'behaviors,' and Slack integration for immediate team alerts. When a failure is detected, it can be turned into a guardrail to prevent the same issue from happening again, which helps the agent's reliability improve continuously.

This tool is primarily for engineering teams that are running complex AI agents in a production environment. It's especially useful for developers working on support agents, research agents, or code-generation agents where interactions with databases and internal APIs are common. If your agents perform long-running tasks and their failure modes are related to stateful behavior across services, Polarity is designed to provide the accurate evaluation infrastructure you need.