By Oshayr
Autonomously saves and retrieves knowledge from a personal wiki whenever relevant, using LLM research-on-miss, search, and a browsable web UI — no manual entry needed.
Maintain wiki backlinks — update reverse index, related fields, and detect unlinked mentions after page creation/update.
Explore citation chains for a topic. Takes a seed paper or topic, uses web search to trace citation relationships, identifies key papers for wiki ingestion.
Verify factual claims in wiki pages against external sources. Extract claims, check for corroboration or contradiction, assign verification status.
Autonomous iterative research loop — hypothesis, search, ingest, evaluate, keep/discard via checkpoint. Max 3 iterations.
Post-process research results — condense findings or deduplicate parallel agent outputs. Two modes.
Wiki maintenance — lint broken links, merge near-duplicates, upgrade confidence, flag stale pages via freshness tiers, gap analysis, concept synthesis. Use on: 'wiki maintenance', 'wiki cleanup', 'fix wiki', 'wiki health', 'check wiki', 'consolidate wiki'.
Search and query the wiki — get cited answers, with automatic research when knowledge is missing. Three depth modes. Use when: 'check wiki', 'what do we know about', 'look up', 'find in wiki', 'search wiki', 'search for', 'find information about', 'do we have notes on', 'wiki context', 'existing knowledge', 'research', 'look into', 'find out about', 'investigate', 'what is', 'how does X work'.
Start the wiki web server — browsable Wikipedia-style UI with live research, split-pane editor, AI assist, and themes. Manual trigger only: /wiki-serve, 'start wiki server', 'browse the wiki'.
Wiki dashboard — browse pages, view stats, knowledge graph, export. Use on: 'wiki dashboard', 'wiki stats', 'show wiki', 'wiki pages', 'list wiki', 'wiki graph', 'export wiki', 'wiki overview'.
Add or update wiki content — autonomous ingest from URL, file, or text; autonomous update of existing pages. Auto-creates .wiki/ on first use. Use when: 'save to wiki', 'remember this', 'note this', 'store this', 'add to knowledge base', 'save findings', 'save research', 'save idea', 'write to wiki', 'ingest', 'add page', 'update page'.
Admin access level
Server config contains admin-level keywords
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
An autonomous knowledge base that grows as you work.
LLM Wiki is a Claude Code plugin that captures research, ideas, and decisions into an interlinked wiki with semantic search, automatic research, and a Wikipedia-style web UI. Knowledge compounds over time — the more you use it, the smarter it gets.
Inspired by Andrej Karpathy's LLM Wiki pattern: raw sources are immutable, the LLM maintains the wiki layer, and a schema governs behavior.
[[page#heading]] links and ![[page#section]] embedsSELECT title, type FROM pages WHERE confidence = "high"live (15 min) to permanent (never expires)/wiki-read researches topics not in the wiki using available toolsThe wiki operates in a simple cycle: when you ask a question, it first checks its knowledge base. If found, it returns a cited answer. If not found, it automatically researches the topic, ingests the findings, and provides an answer—all without breaking your workflow.
sequenceDiagram
User->>wiki-reader: /wiki-read "What is X?"
wiki-reader->>wiki-index: Check knowledge base
alt Found in wiki
wiki-index-->>wiki-reader: Page exists
wiki-reader->>User: Cited answer from wiki
else Not found
wiki-index-->>wiki-reader: No results
wiki-reader->>search-orchestrator: Research needed
search-orchestrator->>search-channel: Fan out queries (web, academic, code, docs)
search-channel->>research-processor: Raw search results
research-processor->>wiki-writer: Processed findings
wiki-writer->>wiki-pages: Create/update page
wiki-writer->>User: Cited answer with new page
end
Install the plugin:
claude plugin install ./llm-wiki
Or copy manually:
cp -r llm-wiki .claude/plugins/
Restart Claude Code — dependencies install automatically on first session.
Start using the wiki immediately with any of these:
| Command | Purpose |
|---|---|
/wiki-write https://example.com/article | Ingest a web page |
/wiki-read "What is transformer attention?" | Ask — researches if not in wiki |
/wiki-serve | Browse the wiki at localhost:8420 |
/wiki-maintain | Health check and optimization |
Core dependencies (fastapi, uvicorn, mcp, etc.) are installed automatically via the plugin's SessionStart hook. For optional enhanced features:
pip install trafilatura # fallback content extraction
pip install numpy sqlite-vec # vector search and caching
/wiki-write — Add or Update Contentnpx claudepluginhub oshayr/llm-wiki --plugin llm-wikiPersonal LLM-managed wiki: ingest sources, cross-reference pages, query with citations, and lint your markdown knowledge base
LLM-maintained personal wiki skills for Claude Code. Implements Karpathy's LLM Wiki pattern — persistent, compounding knowledge base for research, codebase documentation, or any long-term knowledge accumulation.
Karpathy-style local-first LLM Wiki / Knowledge Compiler for Claude Code. Ingest sources, build a structured markdown knowledge base, and maintain it with AI-powered workflows.
Persistent, compounding knowledge base maintained by LLMs in Obsidian — agent-first edition. Four task-oriented agents (Researcher / Advisor / Curator / Scribe) with citations, confidence, supersession, and rolling session cache. Inspired by Karpathy's LLM Wiki pattern.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Karpathy LLM Wiki 知识库 — Ingest / Query / Lint 三操作维护个人 LLM 知识体系