llm-wiki

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.

Core Features

Knowledge Management

• Automatic capture — saves research, ideas, decisions, and findings to the wiki as you work
• Smart retrieval with research-on-miss — checks wiki first, automatically researches and ingests if not found
• Full-text search — TF-IDF keyword search with content-aware scoring and snippet extraction
• Block references & transclusion — [[page#heading]] links and ![[page#section]] embeds
• Backlink panel with automatic unlinked mention detection
• Frontmatter query language — Dataview-like queries: SELECT title, type FROM pages WHERE confidence = "high"
• Intelligent freshness — 9-tier staleness system from live (15 min) to permanent (never expires)

Research-on-Miss

• Automatic research — /wiki-read researches topics not in the wiki using available tools
• Tool discovery — works with whatever tools the user has (WebSearch, WebFetch, Wikipedia API, MCP tools)
• Auto-ingestion — saves findings to wiki with proper citations

Web UI Features

• Wikipedia-style browsable website with 4 themes (light, dark, terminal, wikipedia)
• Interactive knowledge graph (Cytoscape.js) with multiple layouts, clustering, and neighborhood highlighting
• Canvas/whiteboard view for spatial page arrangement
• Split-pane markdown editor with live preview and AI assist
• Live research — click any red link to auto-research the topic
• Spaced repetition review interface (FSRS-based scheduling)
• Content gap analysis dashboard
• WebSocket chat sidebar with RAG-augmented Q&A

Maintenance & Health

• Self-maintaining — lints broken links, merges duplicates, upgrades confidence, flags stale content
• Daily notes and journal workflows
• Smart caching with adaptive TTL and stale-while-revalidate
• Circuit breakers for external API resilience
• Git integration with auto-commit, attribution, and undo

How It Works

The 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.