Building GreenOS: what went wrong with my evidence corpus
The seven-minute research run, source-checking mistakes and broken restore that shaped how I am building a traceable cannabis research corpus.
The full story
qmd is a command-line search engine for Markdown documents, knowledge bases and meeting notes, with keyword, vector and reranked search modes.
Free open-source software under the MIT licence
I use qmd to search the Obsidian notes, project records and operating instructions in my Second Brain before work starts.
It combines keyword search, vector search and reranking while keeping the indexed material on the machine running it.
Product source checked 2026-09-22.
Searching local Markdown notes, project records and personal knowledge bases.
The source and installation instructions are publicly available. It runs locally with Node.js and downloads models for semantic search and reranking.
Local indexes and downloaded models use disk space. Semantic search and reranking need more processing than keyword search alone.
There is no recurring software charge; local hardware and storage remain separate.