Ai

Tracks which lines of code were written by AI vs humans, storing attribution logs as git notes that survive rebases, squashes, and cherry-picks

Attaches cleaned markdown conversation transcripts to commits using native git notes – the lightest-touch approach to AI session archival

An initiative providing open infrastructure for collaborative annotation of stimuli used in neuroscience research. Uses git branches as stackable annotation layers, BIDS/HED standards for interoperability, and AI-accelerated annotation generation with human refinement. Directly relevant to ReproStim-captured audio/video stimuli and generalizable to any experiment with media needing temporal annotation.

A self-hosted, AI-powered photo management application with face recognition, automatic categorization, map views, and album management. In the con/serve architecture, PhotoPrism serves as a rich visualization frontend over git-annex-tracked photo archives, applying the data-visualization separation principle: photos live in git-annex, PhotoPrism provides the browsable UI.

Stores AI coding session transcripts on separate git shadow branches, preserving full provenance without polluting the working tree

Saves AI coding sessions from VS Code and Cursor as structured markdown files in a .specstory/ directory within the project