ErrLookup maintains a structured dataset of user-facing errors from popular open-source libraries including exact messages, root causes, ordered fixes, and defensive coding patterns. It provides this knowledge through a local-first MCP server for AI agents and a searchable web interface. The dataset is generated through AI-assisted analysis of library source code pinned to specific commits.
In the Developer Tools space, ErrLookup takes a focused approach. Helping developers and AI coding agents quickly understand and resolve error messages from open-source libraries. ErrLookup is an open-source project aimed at developers and AI coding agents. ErrLookup costs nothing to use. It ships for the web, the command line, and API, and it can be self-hosted.
It is developed by Standard Beagle, and it first shipped in 2026. Among its 5 catalogued features are error explanations, fix recommendations, and library analysis. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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