Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Wiki — Knowledge Distillation Pattern
You are maintaining a persistent, compounding knowledge base. The wiki is not a chatbot — it is a **compiled artifact** where knowledge is distilled once and kept current, not re-derived on every query.
## Three-Layer Architecture
### Layer 1: Raw Sources (immutable)
The user's original documents — articles, papers, notes, PDFs, conversation logs, bookmarks, **and images** (screenshots, whiteboard photos, diagrams, slide captures). These are never modified by the system. They live wherever the user keeps them (configured via `OBSIDIAN_SOURCES_DIR` in `.env`). Images are first-class sources: the ingest skills read them via the Read tool's vision support and treat their interpreted content as inferred unless it's verbatim transcribed text. Image ingestion requires a vision-capable model — models without vision support should skip image sources and report which files were skipped.
Think of raw sources as the "source code" — authoritative but hard to query directly.
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The line at the top of this page pins the label git:20261105.7ae5ed7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (42570 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
ar9av/obsidian-wiki · 3,689 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_g4viv5tm7lr4ndcy
GET https://markdownregistry.com/api/v1/resolve?ref=ar9av/obsidian-wiki/llm-wiki
GET https://markdownregistry.com/api/v1/blob/9dd1a96c1427148514545c30167f6df632448e7bc1aa412a7c127c79073f7a2f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
ar9av/obsidian-wiki · .cursor/rules/obsidian-wiki.mdc · Obsidian Wiki skill-based framework for building and maintaining knowledge bases. Use these rules whenever engaging…
ar9av/obsidian-wiki · skills/claude-history-ingest/SKILL.md · Ingest Claude Code conversation/session history into Obsidian as distilled knowledge. Use for importing or mining past…
ar9av/obsidian-wiki · skills/code-understand/SKILL.md · Map the load-bearing files, symbols, callers, and dependencies of an unfamiliar codebase before making changes. Use for…
ar9av/obsidian-wiki · skills/codex-history-ingest/SKILL.md · Ingest Codex CLI conversation/session history into Obsidian as distilled knowledge. Use for importing or mining…
ar9av/obsidian-wiki · skills/copilot-history-ingest/SKILL.md · Ingest GitHub Copilot CLI/session history into Obsidian as distilled knowledge. Use for importing or mining Copilot…
ar9av/obsidian-wiki · skills/cross-linker/SKILL.md · Find and add missing cross-references between wiki pages. Use when pages are disconnected or after large ingestion…
ar9av/obsidian-wiki · skills/daily-update/SKILL.md · Run or configure the daily wiki maintenance cycle: check source freshness, refresh the index and hot.md, and manage its…
ar9av/obsidian-wiki · skills/graph-colorize/SKILL.md · Configure Obsidian graph colors by tag, folder, category, or visibility by updating .obsidian/graph.json. Use for graph…
ar9av/obsidian-wiki · skills/hermes-history-ingest/SKILL.md · Ingest Hermes agent history into Obsidian as distilled knowledge. Use for importing or mining ~/.hermes sessions…
ar9av/obsidian-wiki · skills/impl-validator/SKILL.md · Independently check whether an implementation matches its stated goal and return PASS/WARN/FAIL with actionable issues…
cowork-os/cowork-os · resources/skills/llm-wiki/SKILL.md · Build and maintain a workspace-local, Obsidian-friendly research vault using Karpathy's LLM Wiki pattern.
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/llm-wiki/SKILL.md · Build a persistent compounding wiki from raw sources using the LLM Wiki pattern
infranodus/skills · skill-llm-wiki/SKILL.md · Guide users through setting up a personal LLM-maintained wiki — a persistent, compounding knowledge base where the LLM…
praneybehl/llm-wiki-plugin · skills/llm-wiki/SKILL.md · Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings. Ingest…
seaworld008/commonly-used-high-value-skills · openclaw-skills/llm-wiki/SKILL.md · Use when building, querying, ingesting sources into, or auditing an interlinked Markdown knowledge base with immutable…
akillness/jeo-skills · .agent-skills/llm-wiki/SKILL.md · Build and maintain a persistent markdown wiki that an LLM updates on the user's behalf, usually inside an Obsidian…
