Linkly AI
Local document search engine that makes files, web clips, and notes searchable and reusable by AI agents.
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Product Overview
What is Linkly AI?
Linkly AI turns local folders, web clips, and notes into a searchable knowledge library for AI assistants. It automatically parses and indexes documents, images, ebooks, audio, and video, helping agents retrieve relevant material without manually uploading each file. With multilingual search, document outlines, and CLI and MCP integrations, it connects existing knowledge to everyday workflows while keeping original files local. Libraries can also be shared with others under configurable access controls.
Key Features
Automatic File Indexing
Automatically parses and indexes local folders across formats including PDF, DOCX, Markdown, images, ebooks, audio, and video.
Local Data Control
Keeps original files local, with optional cloud indexing and only relevant snippets passed to connected tools and models.
Agent Integrations
Provides CLI, MCP, and official Skills to let AI agents search and read existing knowledge libraries.
Outline-Based Retrieval
Builds document outlines so agents can locate relevant sections without reading entire files.
Cross-Language Search
Uses a local multilingual model to retrieve relevant content across languages.
Shareable Libraries
Shares organized libraries through a single link, with controls over viewing and collaboration access.
Use Cases
- Academic Research : Find passages across research papers and let connected agents compare sources for literature reviews.
- Study Material Search : Retrieve course information from slides, lecture recordings, handouts, and whiteboard photos in one library.
- Legal Document Review : Help agents locate and compare clauses, precedents, and references across contracts and case files.
- Content Research : Recover relevant clippings, notes, and source files from accumulated material while drafting content.
- Project Knowledge Sharing : Bring specifications, meeting notes, and review recordings into a shared library that team members' agents can search.
FAQs
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