Add knowledge.yaml to Your Project in Five Minutes
A practical walkthrough of the KCP adoption gradient — from the minimum viable manifest to a full knowledge graph. No theory. Just the steps.
A practical walkthrough of the KCP adoption gradient — from the minimum viable manifest to a full knowledge graph. No theory. Just the steps.
The previous post
introduced KCP and why llms.txt does not scale to production agent deployments. This post covers
what happens when you connect a knowledge.yaml manifest to a live MCP server — and why the
combination changes how agents behave.
The agent answered the ROI metrics question with zero tool calls. It reported the indexing speed, the search latency, the file count, the retrieval time improvement, the test count. All correct. Every number accurate.
Then it said the metrics were validated on February 19, 2026.
The actual date was February 17.
Earlier today I published a post about Synthesis and why knowledge infrastructure is the layer the AI agent ecosystem is missing. Several people responded with a version of the same question: "We use llms.txt — isn't that enough?"
It depends on what you are trying to do. And I think the answer is worth a dedicated post.
I spent part of today rebuilding this wiki. Not because it was broken. Because when I read it carefully, it was wrong.
Not dramatically wrong. Wrong in the way things get wrong when you stop paying attention. I was listed as Chairman of IASA Norway. I stepped down from that role in 2011 -- fifteen years ago. One of my companies had the wrong founding year. The framing throughout was from a different era: SOA, distributed systems, the vocabulary of a decade ago. The site looked like me. It described someone who used to be me.