Connects the dots.
The same way, every time.
The only agent memory that connects the dots across your [[links]] — deterministically. Same note-chain every time, fully auditable, ~99% fewer tokens than pasting your whole vault. No GPU, no vector DB, no LLM in the loop.
You know Karpathy's LLM Wiki — markdown [[wikilinks]], no vector DB? WikiMoth is the deterministic retrieval layer for that pattern: it walks those links in code — no LLM in the loop — returns the same note-chain every time, and shows you exactly which notes fed an answer.
Retrieve, compact, read — then capture back.
No index to build, no model to call. Your [[wikilink]] notes are the memory.
Follows your authored [[links]] hop by hop to the notes flat search can't reach.
Returns just the relevant note-chain — about 5k tokens instead of 482k for the whole vault.
Hands the agent plain markdown plus the exact note-chain behind it — auditable, same result every time.
Deterministic, API-free auto-capture writes new notes back as markdown and links them in — no LLM in the loop, nothing to re-index.
It matches the basics. The edge is the combination.
Nobody else checks every box at once — connect-the-dots and determinism and audit and plain markdown.
Measured across real vaults — not synthetic data.
Two lines and you're running.
Point it at an existing Obsidian vault or your Claude Code notes. No services to provision, no embeddings to compute.