3. What KaKeKiKoKu Is Not

Before diving into how KaKeKiKoKu works, it helps to clarify what it is not — because the concept is new and it's easy to confuse it with tools you already know.

Not a context file

A context file (like CLAUDE.md, .cursorrules, or similar) is a static document you give the AI at the start of a session. If the project changes, the file falls behind. If it grows, it becomes unmanageable. If you forget it, the AI works without direction.

KaKeKiKoKu is a living system: it documents each file and folder separately, detects when something gets out of sync, and keeps knowledge updated automatically. It's not a file — it's a semantic layer over your project.

Not documentation

Documentation explains how to use something. KaKeKiKoKu sidecars capture what the code cannot express: why this decision was made, what alternatives were discarded, what constraints exist, what traps to avoid.

It doesn't replace your documentation — it complements it. Your documentation is for humans who read. KaKeKiKoKu is for AIs that work.

Not an AI skill

Skills teach the AI to do something new. KaKeKiKoKu doesn't teach it anything — it gives it context. An AI with KaKeKiKoKu doesn't know more, but it knows about your project. The difference between an AI that guesses and one that knows is the context it has available.

Not a project manager

KaKeKiKoKu doesn't manage tasks, sprints, or deadlines. Resources that require future attention can be marked as Pending: this is a standard KaKeKiKoKu flag stored with the resource, not a separate task system. KaKeKiKoKu's mission is to preserve knowledge — decisions, intent, constraints. That knowledge feeds whatever management tool you use, but KaKeKiKoKu doesn't replace it.

It doesn't touch your files

KaKeKiKoKu never creates, edits, moves, or deletes files in your project on its own. It only manages .wuniq files that live alongside yours; the only exceptions are explicit actions you trigger yourself in the Web UI — such as creating a Markdown file or duplicating a resource together with its context. Your code, your documents, your structure — nothing is ever touched behind your back.

Not a cloud tool

KaKeKiKoKu has no servers, accounts, or telemetry. It runs entirely on your machine. Note that when your AI reads project knowledge, that data is processed by your AI provider according to their privacy policy.

So what is it?

KaKeKiKoKu Studio is a Knowledge Engine. It captures everything that gets lost between AI sessions — and turns it into structured, indexed, always up-to-date context. It's the difference between starting every session from scratch and starting with full knowledge.

For a complete functional description, see chapter What Is KaKeKiKoKu. For installation instructions, visit the Quick Start Guide.