VectorMind

VectorMind is a technical and scientific discussion space for artificial intelligence topics. Its content should be grounded in inspectable evidence, explicit sources, reproducible investigations, and curated reusable knowledge.

Evidence maturation pipeline

The repository uses an evidence maturation pipeline: material moves from exploration toward reuse only when its provenance, interpretation, and quality are made explicit.

.cache/                    local collection workspace; never committed
  src/                     downloaded or captured source material
  md/                      working notes and extracted text
  data/                    raw and intermediate datasets
  results/                 machine-generated intermediate results
  reports/                 provisional generated reports
memory/                    committed episodic investigation records
knowledge_base/            committed curated, structured reusable knowledge
src/                       local CLI, automation, and report-generation code
  specification/           durable contracts that drive src behavior
plans/                     dated work packets and status indexes

Promotion is not a blind file move. Every boundary requires review:

.cache/ collects and transforms material without making it durable.

memory/ records a bounded investigation, including sources, method, findings, uncertainty, and unresolved questions.

knowledge_base/ contains reviewed claims and structures intended for reuse.

Published pages are generated from approved committed content, never directly from .cache/.

Current status

The repository workflow and content boundaries are scaffolded. The Pages workflow is configured so a push to main renders the committed Markdown workspace with the reusable MicroWebStacks/astro-huge-doc Action and deploys the resulting static artifact to GitHub Pages. Deployment validation is tracked in

License