Explore is the complete map for the current public site. The first track teaches LLM Wiki creation; the second keeps protocols, models, benchmarks, and UAIX-related material as source-aware case studies.
Start Here
Orientation, learning paths, and first LLM Wiki concepts.
What Is an LLM Wiki?
Definitive definition of the governed, human-readable, machine-consumable knowledge system.
Why LLM Wikis
Context loss, stale docs, unsafe AI use, onboarding drag, and decision amnesia.
How To Build an LLM Wiki
Step-by-step implementation guide for teams creating a wiki from scratch.
LLM Wiki Structure
Recommended folders, page families, ownership boundaries, and agent routing paths.
Starter Template
Dynamic ZIP and rendered templates from one canonical registry.
LLM Wiki Setup Wizard
Shared human and AI route for planning setup, Project Handoff alignment, and capability boundaries.
Content Types
What belongs in an LLM Wiki, what stays out, and how page types are controlled.
Trust Model
Authoritative, draft, proposal, historical, deprecated, external, and needs-review labels.
Metadata Standard
Required frontmatter for owners, freshness, sensitivity, agent use, and related pages.
For AI Agents
How agents should read, cite, update, summarize, and respect human-review boundaries.
LLM Wiki vs RAG
RAG is retrieval; an LLM Wiki is curated governed source material.
LLM Wiki vs AI Memory
Durable internal knowledge base versus portable working memory bundle.
Implementation Checklist
Actionable build, governance, metadata, review, redaction, and retrieval steps.
Maturity Model
Stages from document dump to operational knowledge system.
Security and Privacy
Secrets, sensitive data, redaction, access control, and agent permissions.
Architecture
Three-layer design, raw/wiki/schema separation, and RAG comparison.
Operations
Ingest, query, lint, contradictions, source refresh, and compounding syntheses.
Navigation
index.md, log.md, frontmatter, and wiki-link routing without heavy vector dependencies.
Schema Engineering
AGENTS.md and CLAUDE.md templates for deterministic agent behavior.
Examples
Personal and team LLM Wiki reference builds.
Protocols and Case Studies
UAIX, UAI-1, MCP, OpenAPI, A2A, models, benchmarks, and security as case studies.
Standards
Non-normative explainers for UAI-1 and adjacent AI interoperability systems.
Models
Field guidance for source-backed language and multimodal model profiles.
Benchmarks
Benchmark explanation, score provenance, and evaluation-risk templates.
Security
AI safety and risk pages with source-backed mitigation framing.
Page Templates
Copy-ready record structures for repeatable wiki pages.
Source Policy
Rules for citations, review status, stale warnings, and AI-assisted drafts.
Related Links
Extensive outgoing links to official standards, provider, benchmark, security, and research resources.