LLM Wiki

An Obsidian plugin that turns raw notes, clippings, and chat exports into an interlinked, AI-maintained personal wiki. Pages get YAML frontmatter, confidence scores, memory tiers, and graph edges — and the plugin keeps them healthy over time.

Designed as the knowledge core of a self-hosted second brain. Pairs naturally with signal-bridge, signal-inbox, and perplexity-bridge for capture, and with canvas-knowledge-graph for spatial exploration.

How it works

LLM Wiki implements four operations against a pool of raw sources:

1. Ingest — reads files from a raw sources folder, asks Claude to extract a title, summary, body, entities, tags, and confidence, then writes a structured wiki page with rich frontmatter and [[wiki links]].
2. Query — runs local keyword search across wiki pages, or hands ranked context to Claude for a synthesised answer with cited sources.
3. Lint — scans the wiki for orphans, broken links, stale confidence, low-confidence pages, duplicate entities, missing frontmatter, empty pages, and tier mismatches.
4. Crystallize — picks groups of related pages and asks Claude to merge them into a higher-tier consolidated page, marking contradictions and creating supersedes edges.

A separate memory lifecycle runs Ebbinghaus-style confidence decay, evaluates tier promotions/demotions, and flags stale pages.

Memory tiers

Every page lives in one of four tiers, inspired by human memory consolidation:

Tier	What it means
working	Just ingested, not yet validated
episodic	Confirmed once, still tied to its source
semantic	Corroborated, generalised, durable
procedural	High-confidence, multi-source, long-lived

Pages start in working and get promoted as confidence grows and corroborations accumulate. They get demoted when confidence decays below the tier floor.

Setup

Prerequisites

• Obsidian 1.5.0+
• An Anthropic API key (console.anthropic.com)

Install

1. Copy the llm-wiki folder into your vault's .obsidian/plugins/ directory
2. Run npm install && npm run build inside the plugin folder
3. Enable "LLM Wiki" in Obsidian Settings → Community Plugins
4. Open LLM Wiki settings and enter your API key
5. (Optional) Adjust raw sources, wiki, and schema folder paths

Folder layout

your-vault/
├── _sources/        ← drop raw files here for ingest
├── _schema/
│   └── graph.json   ← knowledge graph (nodes + edges)
└── wiki/            ← structured wiki pages with frontmatter

All paths are configurable in settings.

Frontmatter shape

After ingest, wiki pages look like this:

---
title: Retrieval-augmented generation
aliases:
  - RAG
tags:
  - llm
  - architecture
tier: semantic
source_type: llm-ingest
source_path: _sources/karpathy-talk.md
entity_type: concept
created: 2026-04-12T20:00:00.000Z
modified: 2026-04-15T08:30:00.000Z
related:
  - "[[Vector Databases]]"
  - "[[Embeddings]]"
supersedes: []
confidence:
  value: 0.78
  last_evaluated: 2026-04-15T08:30:00.000Z
  source_date: 2026-04-12T20:00:00.000Z
  corroborations: 3
  disputed: false
---

Commands

• Ingest all raw sources — process every file in the raw sources folder
• Ingest current file — process the active file
• Search wiki (local) — fast keyword search, no API calls
• Ask wiki (Claude-powered) — Claude synthesises an answer from top-matching pages
• Lint wiki — surface health issues across the wiki
• Run memory lifecycle — apply confidence decay and tier evaluation
• Show crystallize candidates — list groups of pages that could be merged
• Show wiki stats — counts of nodes, edges, and orphans

Settings

Setting	Default	Description
API key	—	Your Anthropic API key
Model	Sonnet 4	Model used for ingest, query, crystallize
Max tokens	4096	Maximum tokens per response
Raw sources folder	_sources	Where unprocessed files live
Wiki folder	wiki	Where structured pages are written
Schema folder	_schema	Where graph.json is stored
Auto-ingest	On	Automatically ingest new files dropped into sources
Lint on startup	On	Run lint when the vault opens
Confidence decay rate	0.02	Daily exponential decay rate
Stale days	30	Days before a page is flagged stale
Default entity type	concept	Used when ingest can't infer one

Knowledge graph

The plugin maintains a JSON-encoded graph at _schema/graph.json:

• Nodes — one per wiki page, indexed by file path. Stores title, entity type, tier, and confidence.
• Edges — typed, directed relationships: related-to, part-of, derived-from, contradicts, supersedes, supports, example-of, prerequisite.

The graph is the source of truth for orphan detection, crystallize candidate selection, and supersedes resolution. Pair with the Canvas Knowledge Graph plugin to render it as a live Obsidian canvas.

Development

cd llm-wiki
npm install
npm run dev    # watch mode — rebuilds on save

Symlink the plugin folder into your test vault's .obsidian/plugins/ directory. Reload Obsidian (Ctrl+R / Cmd+R) after rebuilds.

License

MIT