AI SummaryThis wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it. Describe what you want in plain English: Or use shorthand triggers:
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to set up the "LLM Wiki Agent — Schema & Workflow Instructions" agent in my project. Please run this command in my terminal: # Add AGENTS.md to your project root curl --retry 3 --retry-delay 2 --retry-all-errors -o AGENTS.md "https://raw.githubusercontent.com/SamurAIGPT/llm-wiki-agent/main/AGENTS.md" Then explain what the agent does and how to invoke it.
Description
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
Overview
• Overview — living synthesis
LLM Wiki Agent — Schema & Workflow Instructions
This wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it.
How to Use
Describe what you want in plain English: • "Ingest this file: raw/papers/my-paper.md" • "What does the wiki say about transformer models?" • "Check the wiki for orphan pages and contradictions" • "Build the knowledge graph" Or use shorthand triggers: • ingest <file> → runs the Ingest Workflow • query: <question> → runs the Query Workflow • health → runs the Health Workflow (fast, every session) • lint → runs the Lint Workflow (expensive, periodic) • build graph → runs the Graph Workflow ---
Directory Layout
` raw/ # Immutable source documents — never modify these wiki/ # Agent owns this layer entirely index.md # Catalog of all pages — update on every ingest log.md # Append-only chronological record overview.md # Living synthesis across all sources sources/ # One summary page per source document entities/ # People, companies, projects, products concepts/ # Ideas, frameworks, methods, theories syntheses/ # Saved query answers graph/ # Auto-generated graph data tools/ # Standalone Python scripts health.py # Structural checks (deterministic, no LLM calls) lint.py # Content quality checks (uses LLM for semantic analysis) build_graph.py # Knowledge graph generation ` ---
Discussion
Health Signals
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