{"library":"ccap-kernel","type":"library","category":null,"description":"CCAP-Kernel (v0.2.0) is an AI-native semantic compiler that compresses large codebases into high-entropy semantic maps using Spectral Graph Theory and Minimum Description Length (MDL), achieving over 95% token savings. It is developed by Reack and released under MIT license. Key differentiators include multi-model token budgeting for OpenAI/Claude/Gemini, path-agnostic linking for cross-platform isomorphism, ghost link detection for architectural debt, and calibrated auditing. The project is in early alpha stage with rapid development (moving from v0.1.x to v0.2.0 within months). It targets AI-assisted software engineering workflows by providing a progressive precision workflow from global navigation to surgical patching.","language":"javascript","status":"active","version":"0.2.0","tags":["javascript","semantic","compiler","architecture","ai","token-saving"],"last_verified":"Thu Jun 04","install":[{"cmd":"npm install ccap-kernel","imports":["import { semanticCompress } from 'ccap-kernel'","npx ccap-kernel --help"]},{"cmd":"yarn add ccap-kernel","imports":[]},{"cmd":"pnpm add ccap-kernel","imports":[]}],"homepage":"https://github.com/Reack/ccap-kernel#readme","github":"https://github.com/Reack/ccap-kernel","docs":null,"changelog":null,"pypi":null,"npm":"ccap-kernel","openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}