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:

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

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