Raindrop

Raindrop is a monitoring platform for AI agents. It helps teams find and prevent agent issues by surfacing patterns across runs, investigating failures, and simulating changes before shipping. It targets teams building and deploying AI agents who need visibility into how agents perform across many interactions.

The tool collects traces and events from agent executions, enabling users to detect recurring failures and bring related data into a single issue. It emphasizes automation and investigation workflows to reduce silent failures in production environments.

Raindrop supports integration with multiple SDKs and frameworks, allowing users to instrument their code, instrument calls, and connect to hosted services. It provides a way to simulate fixes and verify improvements before deploying changes widely.

The platform highlights core capabilities for signals, triage, issues, experiments, and integrations, with a focus on observable changes in production behavior and controlled experimentation for validation.

Use cases

• Detect silent agent failures in production and investigate root causes