Wanderer: An AI That Roams the Library of Congress Map

A developer released Wanderer, an open-source AI agent that wakes every four hours via GitHub Actions, selects a subject from the Library of Congress classification (prioritizing obscure areas), pulls a related Wikipedia article, reads it, and writes a Markdown field note in a voice blending Carlin, Douglas Adams, and Tim Urban. Notes are stored in a notes/ directory and tracked in journal.json, with the project MIT-licensed and configurable via a GROQ_API_KEY secret and an optional PAUSED file to halt the workflow.

I’m proud to drop a new open‑source project: Wanderer . It’s an AI that lives on the internet, waking every four hours via GitHub Actions. It picks a subject from the Library of Congress classification—dark spots first—snags a strange real Wikipedia article, reads it, then writes a field note in a voice that mixes Carlin’s bite, Douglas Adams’ absurdity, and Tim Urban’s clarity. wander.py .github/workflows/wander.yml is the heartbeat. notes/ as Markdown, tracked in journal.json . Fork the repo, add GROQ API KEY and optionally the others as secrets, enable GitHub Pages on the /docs folder, and let it loose. The repo even includes an easy off switch : drop a file named PAUSED or disable the workflow. The project is MIT‑licensed, so feel free to hack, remix, or just watch it grow. Find more about me and my other AI experiments on my homepage: https://2db2du-byte.github.io https://2db2du-byte.github.io