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kortix-semantic-search

Official

Semantic search for desktop files and memory.

Software Engineering#embeddings#offline#local#BM25#semantic-search#agent-memory#desktop-files
Authorkortix-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Locating and recalling relevant documents and contextual knowledge across a desktop workspace can be time-consuming and error-prone when relying on manual file browsing or scattered notes. This Skill provides a local semantic search capability that indexes text across files and agent memory, enabling fast, natural-language retrieval without sending data to the cloud.

Core Features & Use Cases

  • Local, offline semantic search over desktop files and agent memory using BM25 + embeddings for relevance-aware results.
  • Supports a wide range of formats (PDF, DOCX, XLSX, PPTX, HTML, EML, JSON, CSV, code, and plain text) with deterministic chunking and instant re-indexing.
  • Use cases include quickly locating a document, surfacing background knowledge for an AI assistant, and auditing information across your knowledge base without leaving your device.

Quick Start

Index a directory and start searching with natural language queries.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: kortix-semantic-search
Download link: https://github.com/kortix-ai/lss/archive/main.zip#kortix-semantic-search

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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