Raindrop

Raindrop is an AI agent monitoring and observability product. It is aimed at engineering teams building agents, with a focus on surfacing silent failures and helping them move from trace inspection to a shipped fix.

The product logs every agent run and captures messages, tool calls, retries, and errors in one place. It can inspect traces, detect issues automatically, and surface real failures such as hallucinations, loops, and broken tools. Raindrop also sends those failures to Slack, where it can be used by mentioning @Raindrop to ask questions, triage issues, create signals, and work through problems in a collaborative workflow. The page also says it supports experimenting with feature flags and running experiments against live traffic to confirm that a regression has been fixed.

Raindrop is delivered as a web service at app.raindrop.ai and includes Slack integration. The site describes it as living in Slack, and the product pages and docs sit alongside blog, careers, and enterprise links. It is described as trusted by engineering teams, with claims on the site that it is used by teams on GitHub, that it processes billions of traces per month, and that it is SOC 2 compliant.