linkly ai NEW

linkly ai is a local document search engine that uses AI agents for full-text search and knowledge management.

It parses and indexes local files (PDF, MD, DOCX, PPTX, EPUB, MP3, WAV, MP4, JPG, PNG, HTML, TXT) into a live private knowledge layer for search, comparison, and retrieval.

Agents can read documents, compare passages, answer queries across files, and maintain contextual memory to support researchers, students, legal teams, content creators, and product teams.

Local-first architecture keeps files on device by default with optional cloud indexing; indexing completes in minutes and queries can return in about 0.5 seconds.

Built-in tools include a CLI, platform integrations, global hotkey, keyboard-first interface, and APIs for connecting models and automation workflows.

Sharing produces link-based libraries with access controls so teams can reuse agent-read knowledge while retaining visibility settings.

Cross-language semantic search supports hundreds of languages and progressive document outlines surface relevant sections without loading entire files.

Supported platforms. macOS (Apple Silicon and Intel), Windows (x64), and Linux; setup requires installing the desktop app and connecting preferred AI models or services.

Key Features

• Local-first AI-powered full-text document search and knowledge management
• Parses and indexes local files (PDF, MD, DOCX, PPTX, EPUB, MP3, WAV, MP4, JPG, PNG, HTML, TXT) into a live private knowledge layer for search, comparison, and retrieval
• AI agents that read documents, compare passages, answer cross-file queries, and maintain contextual memory
• Built-in CLI, platform integrations, global hotkey, keyboard-first interface, and APIs for connecting models and automation workflows
• Cross-language semantic search and progressive document outlines that surface relevant sections without loading entire files

Use Cases

• Quickly find and compare information across hundreds of PDFs, images, and meeting recordings using Linkly AI's offline semantic search and cross-file comparisons, enabling researchers and legal teams to build concise case summaries without sending sensitive data to the cloud
• Build a private, searchable knowledge base for your company on macOS, Windows, or Linux by indexing internal docs, slide decks, and videos with multimodal document indexing and contextual memory, then share specific document views via link-based sharing for secure collaboration
• Automate document retrieval for customer support and product teams by deploying agent-powered retrieval to surface relevant passages and generate concise answers from local sources, reducing response time while keeping proprietary data fully local

Who is it for?

• Content creators
• Legal teams
• Researchers
• Students
• Product teams