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Kaas

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Description

Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

KaaS — Knowledge-as-a-Service

KaaS — Knowledge as a Service

**English** · [中文](README.zh-CN.md)

[![Tests](https://github.com/bybit-exchange/kaas/actions/workflows/tests.yml/badge.svg)](https://github.com/bybit-exchange/kaas/actions/workflows/tests.yml) [![License](https://img.shields.io/github/license/bybit-exchange/kaas?color=blue)](LICENSE) [![Latest release](https://img.shields.io/github/v/release/bybit-exchange/kaas?include_prereleases)](https://github.com/bybit-exchange/kaas/releases) [![Documentation](https://img.shields.io/badge/docs-kaas--doc-blue)](https://bybit-exchange.github.io/kaas-doc/) [![MCP](https://img.shields.io/badge/MCP-ask%20tool-black)](#mcp-access)

Turn scattered notes, documents, and transcripts into a searchable, queryable personal Wiki — powered by LLM-driven knowledge compilation.

**[Documentation](https://bybit-exchange.github.io/kaas-doc/)** · [Quick Start](#quick-start) · [MCP access](#mcp-access)

![Asking the compiled wiki a question and getting an answer with citations back to the articles it came from](docs/assets/screenshot-chat.en.png)

What Makes This Different

Unlike typical RAG systems that chunk and embed raw text, KaaS **compiles** your content through a 4-phase LLM pipeline. What comes out is human-readable Markdown articles — not a black-box vector store.

![KaaS vs. naive RAG: compile-then-retrieve instead of chunk-and-embed](docs/assets/kaas-vs-rag.en.svg)

The Compiled Wiki

What you get is a tree of Markdown articles: categories on the left, the rendered article in the middle, its headings down the right. Chat answers cite these articles by name, so an answer and the page it came from are one click apart.

![The compiled wiki: an article tree on the left, a rendered Markdown article on the right](docs/assets/screenshot-wiki.en.png)

How It Works

Raw content passes through four LLM phases: extract concepts, entities and decisions; classif