Developers can now debug and evaluate AI agents locally with Raindrop's open source tool Workshop

Observability startup Raindrop AI ’s new open source, MIT Licensed " Workshop " tool, launched today, gives developers something that they've likely wanted, perhaps subconsciously, since the agentic AI era kicked off in earnest last year: a local debugger and evaluation tool specifically designed for AI agents, allowing devs to see all the traces of what their agent has been doing in a single, lightweight Structured Query Language (SQL) database file (.db) It functions as a local daemon and UI that streams every token, tool call, and decision to a local dashboard—typically hosted at localhost:5899 —the moment it occurs. By visiting their localhost, developers can then see everything their agent was up to — including mistakes or errors — and identify what went wrong, when, and ideally, discern why. It's all stored in a single .db file, which takes up relatively little memory, according to a X direct message VentureBeat received from Ben Hylak, Raindrop's co-founder and CTO (and a former