Avalanche AI · concept
verified 2026-07-07 · live
What Is an Agent Wiki?
An agent wiki is a knowledge base whose primary reader is an AI agent. The idea has public lineage — Andrej Karpathy's LLM-wiki musings, and agentwikis.com's compiled public wikis — and a refreshingly boring architecture:
- A wiki is just a folder of Markdown files with YAML frontmatter (title, type, status,
last_verified, summary, sources) plus a small registry describing its scope. No database. Versionable with git, editable with anything, owned by you. - Three serving surfaces from the same files:
llms.txt/llms-full.txt— the emerging convention for telling any agent what a site knows;- an MCP server — list, read, and search tools any agent framework can call;
- plain semantic HTML — humans read the same pages; no JavaScript required.
Why this form wins for corporate knowledge
Zero infrastructure to operate, no vendor lock-in (it's Markdown — every tool and every future agent can read it), auditable freshness (last_verified on every page is a lintable claim, not a hope), and the compile-once economics described in The Corporate Brain.
This entire site is an agent wiki, built with the same engine we install for clients. Point your agent at /llms.txt — or ask us for the MCP endpoint — and it can read everything you are reading now.