This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady I built LazyDigest, a small background utility that takes the raw, unorganized Markdown notes I drop into a folder and turns them into a short daily digest: a category, a one-line takeaway and an optional action item for each note.
Instead of organizing folders, adding tags or re-reading messy scratchpads, LazyDigest runs quietly every night at 03:00 using our Faithful Servant, Google's Gemma 3 1B open-weight model, through Ollama. I dump files into a folder, go to sleep, and wake up to a summary.
(The video shows LazyDigest reading a folder of raw Markdown notes, writing a digest file offline, and moving the processed notes into the archive folder.)
LazyDigest is an open-source, local-first background utility that reads the scattered Markdown notes you drop into a folder and turns them into one short daily digest — a category, a one-line takeaway, and an optional action item per note — using Google's Gemma model running locally through Ollama.
Built for the Hacktoberfest Open-Source AI Challenge 2026 (Week 3: Slow and Steady).
.md file in data/input_notes/. gemma3:1b via Ollama, without sending data to external APIs.data/output_digests/digest_output.md, then moves processed notes into data/processed/ so they are never read twice.--daemon and it digests your notes every night at 03:00 while you sleep.ollama-python with schedule library runs it daily at 03:00 and moves processed files into