Activating the ability to observe Raindrop AI‘s new open source, MIT Licensed "Workshop" The tool launched today gives developers something they’ve probably subconsciously wanted since the agency AI era began in earnest last year: a native debugger and evaluation tool specifically for AI agents, allowing developers to see all traces of what their agents are doing in a single, lightweight Structured Query Language (SQL) database file.
It acts as a local daemon and UI that forwards every token, tool call, and decision to the local dashboard (usually located at the following address). localhost:5899– the moment it happened. By visiting Localhost, developers can see everything their agents are doing – including bugs or errors – and determine what went wrong, when, and ideally why. It’s all stored in a single .db file that takes up relatively little memory, according to an X direct message VentureBeat received from Raindrop co-founder and CTO (and former Apple and SpaceX engineer) Ben Hylak.
This real-time telemetry eliminates the latency of traditional polling and addresses growing developer concerns about the privacy of sending local traces to external servers.
The tool is available for macOS, Linux and Windows. It can be installed via a one-line shell command that automates binary deployment and PATH configuration for bash, zsh, and fish shells. For developers who prefer to build from source, the repository is hosted on GitHub and uses the Bun runtime.
Product: creating a self-healing evaluation loop
A notable feature of the platform "self-healing evaluation loop," This allows coding agents like Claude Code to read traces, write evaluations against the codebase, and autonomously fix broken code.
In practical application, if the vet assistant agent fails to ask the necessary follow-up questions, the workshop draws the full trajectory. Claude Code then reads this trace, writes a custom evaluation, identifies a logical error in the request or code, and restarts the agent until all assertions have passed.
Compatibility and ecosystem integration
Workshop is compatible with a wide range of programming languages, including TypeScript, Python, Rust, and Go.
The Vercel AI SDK integrates with popular SDKs and frameworks such as OpenAI, Anthropic, LangChain, LlamaIndex, and CrewAI. It is also designed to work seamlessly with various coding agents, including Claude Code, Cursor, Devin, and OpenCode.
Licensing and community effects
The workshop is released under the MIT License, making it free and open source for all users. This permissive licensing aims to increase community contribution and enable enterprise users to maintain data sovereignty.
Hylak noted in X that the tool was built to provide "sane" a way to debug agents locally, changing the way their team and early customers build autonomous systems.
To celebrate its launch, Raindrop offered a limited number of physical products to users who installed the tool and performed a specific function. "to drip" command.
