Raindrop

Raindrop is the closest thing to a Sentry for agents. If you're running any non-trivial LLM-powered application—customer support bots, multi-agent workflows, code generation tools—you'll quickly hit failure modes that traditional APM tools don't surface. Raindrop catches hallucinations, infinite loops, and broken tool calls in a way that generic logging can't. Pick Raindrop when you need to move fast and trust your agents. The Slack integration means your whole team can triage without leaving chat. The Self-Healing Agents feature in 2.0 is genuinely novel: it closes the loop between detecting a failure and fixing it. Teams like Speak (15M+ users) rely on it for production monitoring. Pass on Raindrop if you're building simple single-turn chatbots with no production load—the free tier is generous but limited to 10k events/month, and the SDK integration may be overkill for hobby projects. Also, while Raindrop does offer custom enterprise on-premises, it's not self-service; teams needing air-gapped deployment should contact sales. Compared to alternatives like LangFuse or LangSmith, Raindrop focuses more on runtime detection and automated remediation rather than prompt management or dataset curation. LangSmith has broader framework integration, but Raindrop's Slack-native triage and self-healing capabilities are ahead. For teams that value a quick 'detect → alert → fix' cycle, Raindrop is hard to beat. In practice, the Workshop tool is a nice addition for local debugging—one command to install and you can replay production traces offline. The Triage agent is early but shows promise for reducing on-call noise. If you're looking for the fastest path from agent failure to fix, Raindrop is worth your attention.