Linkly AI

• Local indexing of documents, notes, images, audio, and video
• Full-text and semantic search across personal knowledge
• Outline Index for structured document navigation
• MCP integration for AI agents and assistants
• CLI tools for searching and accessing local knowledge
• Cross-language semantic search across hundreds of languages
• Local-first processing designed to keep source files on the device
• Shareable knowledge libraries with configurable visibility
• Browser extension for saving webpages as AI-ready Markdown
• Support for multiple AI agents, models, and development tools

What Is Linkly AI?

Linkly AI is a local knowledge retrieval platform designed to make personal files and information accessible to AI agents. It indexes documents, notes, web clips, images, audio, and video on a user’s computer, creating a searchable knowledge layer that can be accessed by AI assistants and development tools. :contentReference[oaicite:1]{index=1}

Local AI Knowledge Base

Linkly AI is designed around a local-first approach. Instead of requiring users to move their entire collection of files into a separate cloud knowledge base, the desktop application indexes selected folders on the user’s computer and makes the resulting knowledge searchable locally. :contentReference[oaicite:2]{index=2}

Document Indexing

The platform can parse and index common types of personal and professional material, including PDFs, images, PowerPoint files, notes, ebooks, audio, and video. Once a folder is selected, Linkly AI can automatically process the material and make it available through its search system. :contentReference[oaicite:3]{index=3}

Full-Text Search

Linkly AI provides full-text search for indexed content, allowing users and connected AI agents to locate information across large collections of documents. The search system is intended to work across scattered files rather than requiring users to remember where individual documents were stored. :contentReference[oaicite:4]{index=4}

Semantic Search

Alongside traditional text matching, Linkly AI supports semantic search. This allows users to search for concepts and meanings rather than relying only on exact keywords, making it easier to locate relevant information when the wording in a query differs from the wording inside the original document. :contentReference[oaicite:5]{index=5}

Outline Index

One of Linkly AI’s central technologies is its Outline Index. Instead of immediately sending large amounts of document content to an AI model, the system creates a structured outline that helps an agent identify relevant sections before reading the underlying material. :contentReference[oaicite:6]{index=6}

Progressive Document Reading

The Outline Index supports a progressive workflow in which an AI agent can first search for relevant documents, inspect their structure, and then read the specific sections required for an answer. This approach is intended to reduce unnecessary context and make large document collections easier for AI systems to navigate. :contentReference[oaicite:7]{index=7}

AI Agent Integration

Linkly AI is designed to work as a knowledge layer underneath AI agents rather than replacing the assistants users already prefer. The platform lists integrations with tools such as Claude, ChatGPT, Codex, Cursor, Windsurf, GitHub Copilot, Gemini CLI, QwenPaw, n8n, Dify, and other AI applications. :contentReference[oaicite:8]{index=8}

MCP Integration

Linkly AI provides MCP tools that allow compatible AI agents to search, inspect, and read information from indexed libraries. Its MCP functionality is intended to give AI assistants structured access to local knowledge without requiring users to manually upload individual documents during every conversation. :contentReference[oaicite:9]{index=9}

CLI Access

The platform also provides command-line access to its knowledge libraries. This makes Linkly AI suitable for development workflows where users want coding assistants or terminal-based AI tools to search their local documentation, project records, notes, and other reference material. :contentReference[oaicite:10]{index=10}

Agent Skills

Linkly AI provides Skills designed to help supported AI assistants work with indexed files. The Skills expose a simple workflow around searching documents, viewing their outlines, and reading relevant sections, allowing an AI agent to retrieve information without requiring users to remember technical commands. :contentReference[oaicite:11]{index=11}

Local Data Processing

Linkly AI emphasizes local processing for its core indexing and retrieval pipeline. Its official materials state that text extraction, index construction, and search matching can take place on the local device, while original files remain on the user’s computer unless the user chooses to use cloud features. :contentReference[oaicite:12]{index=12}

Privacy-Focused Architecture

The local-first architecture is intended to reduce the need to upload complete personal document collections to external services. According to Linkly AI, third-party tools and models receive only the information needed for a particular request rather than direct access to the original files. :contentReference[oaicite:13]{index=13}

Cross-Language Search

Linkly AI supports semantic search across multiple languages through a local multilingual model. This allows users to search their knowledge collection using concepts that may not exactly match the language or wording used in the indexed material. :contentReference[oaicite:14]{index=14}

Knowledge Libraries

Users can organize indexed material into knowledge libraries. Libraries provide a structured way to group documents and other sources around a project, subject, team, or area of expertise, making large collections easier for AI agents to access. :contentReference[oaicite:15]{index=15}

Shareable Knowledge Libraries

Linkly AI allows users to share selected libraries through a link. Shared libraries can be made available to other people and their AI agents, while visibility and access controls allow the library owner to determine who can view or collaborate with the shared knowledge. :contentReference[oaicite:16]{index=16}

Cloud Knowledge Bases

Linkly AI also supports cloud knowledge bases for selected local libraries. The cloud functionality allows a library to remain available online for supported AI agents and other users while the local desktop application continues to serve as the foundation for managing personal knowledge. :contentReference[oaicite:17]{index=17}

MCP Tunnel

The Pro plan includes an MCP Tunnel designed to allow cloud-based AI applications to access a user’s local documents and knowledge base. This extends Linkly AI’s local retrieval system to AI services that cannot directly reach resources running on the user’s own computer. :contentReference[oaicite:18]{index=18}

Linkly AI Chat

Linkly AI also includes its own chat experience for working directly with local files. The v0.4.0 release introduced the ability to converse with large collections of notes, PDFs, journals, and project records without requiring users to connect Linkly to another AI application first. :contentReference[oaicite:19]{index=19}

Multiple AI Model Providers

The chat experience supports different model providers rather than forcing users into a single AI model ecosystem. Linkly AI has described support for services including OpenAI, Anthropic, DeepSeek, Ollama, and LM Studio, allowing users to choose between hosted and local model options. :contentReference[oaicite:20]{index=20}

Offline AI Workflows

When connected to local model services such as Ollama or LM Studio, Linkly AI can support fully local chat workflows. This provides an option for users who need to keep both their knowledge retrieval and AI conversations on their own computer. :contentReference[oaicite:21]{index=21}

Browser Extension

Linkly AI includes a browser extension that converts webpages into clean Markdown files. Users can save article content, images, translations, video transcripts, and supported AI conversations, creating files that can subsequently be stored locally and indexed by Linkly AI. :contentReference[oaicite:22]{index=22}

Web Content Capture

The browser extension is designed to capture more than the visible text of a webpage. It can preserve images, process supported translations locally, and extract video transcripts from services such as YouTube and Bilibili, turning online information into files that can be searched later. :contentReference[oaicite:23]{index=23}

Research Workflows

Linkly AI can support research workflows involving large collections of papers, notes, articles, and reference documents. Researchers can search across their existing material and allow an AI agent to compare documents or locate specific passages without manually opening each file. :contentReference[oaicite:24]{index=24}

Support for Students

Students can use Linkly AI to organize lecture materials, handouts, recordings, screenshots, and other course resources into a searchable collection. The platform is designed to let an AI assistant retrieve relevant information across these materials when students need to revisit a particular topic. :contentReference[oaicite:25]{index=25}

Support for Legal Teams

Legal professionals can use local knowledge libraries to organize case files, contracts, precedents, and other documents. Linkly AI’s example workflow focuses on allowing an AI agent to compare multiple documents and identify differences between clauses while referencing the underlying materials. :contentReference[oaicite:26]{index=26}

Support for Content Creators

Content creators can use Linkly AI to organize research material, saved articles, notes, and other source content. Once indexed, these materials can be retrieved by AI agents while creating new content, reducing the need to manually search through years of saved information. :contentReference[oaicite:27]{index=27}

Support for Product and Project Teams

Product and project teams can build shared libraries containing specifications, meeting notes, review recordings, and project documents. AI agents can then use the library to locate and summarize information across different project sources. :contentReference[oaicite:28]{index=28}

Lightweight Desktop Application

Linkly AI is designed to run quietly in the background while indexing selected files. The company states that its installer is around 20 MB and typical runtime memory usage is approximately 50 to 100 MB, with indexing designed to happen progressively after installation. :contentReference[oaicite:29]{index=29}

Free Plan

The Free plan provides local features without a recurring charge. It includes offline use, local parsing, full-text and semantic search, Outline Index functionality, MCP and CLI access, AI-agent integrations, limited access to selected basic AI models, a limited cloud library quota, and the browser extension. :contentReference[oaicite:30]{index=30}

Pro Plan

The Pro plan adds cloud-enhanced capabilities to the local feature set. It includes access to selected frontier AI models, the MCP Tunnel, higher cloud library quotas, and more detailed control over cloud library visibility and access. Additional cloud document parsing and audio and video transcription features are listed as coming soon. :contentReference[oaicite:31]{index=31}

Pricing Structure

The current early-bird Pro price is listed at $29 per year, compared with a displayed regular price of $66 per year. The plan is presented as a one-year purchase and the pricing page states that the limited-time offer includes a seven-day full refund period. :contentReference[oaicite:32]{index=32}

Who Is Linkly AI For?

Linkly AI is designed for people who have accumulated large collections of digital information and want AI agents to work directly with that knowledge. It can be useful for students, researchers, developers, legal teams, content creators, and product or project teams managing substantial local document collections.

Linkly AI for Developers

Developers can connect Linkly AI with coding assistants and terminal-based AI tools to give those systems access to local project documentation and reference material. MCP, CLI tools, and Agent Skills provide several ways to integrate the knowledge layer into development workflows. :contentReference[oaicite:33]{index=33}

Linkly AI for Research

Researchers can use the platform to search across papers, notes, PDFs, and other reference material. The combination of semantic search and structured document outlines allows AI agents to locate relevant sources and read targeted sections instead of processing entire document collections at once.

Linkly AI for Personal Knowledge Management

Linkly AI is designed to work alongside existing note-taking and productivity tools rather than replacing them. Users can continue keeping information in their preferred local folders and applications while Linkly AI creates a unified retrieval layer that allows AI agents to search across those different sources. :contentReference[oaicite:34]{index=34}

Frequently Asked Questions

What is Linkly AI?

Linkly AI is a local knowledge retrieval platform that indexes personal files and makes them searchable by users and AI agents through full-text search, semantic search, MCP, CLI tools, and other integrations.

Does Linkly AI upload my files?

Its core local processing is designed to keep original files on the user’s computer. Cloud features are optional, and selected libraries can be made available through Linkly AI’s cloud services when users choose to use those capabilities.

What files can Linkly AI search?

Linkly AI supports a range of content including PDFs, images, PowerPoint files, notes, ebooks, audio, video, and other everyday document formats.

Does Linkly AI work offline?

Yes. The Free plan includes offline use, and the local indexing and search features are designed to operate on the user’s computer.

What is the Outline Index?

The Outline Index is Linkly AI’s structured approach to document retrieval. It creates an outline of a document so an AI agent can identify relevant sections before reading the original content in detail.

Does Linkly AI support MCP?

Yes. Linkly AI provides MCP access so compatible AI agents can search and read information from indexed knowledge libraries.

Which AI tools work with Linkly AI?

Linkly AI lists compatibility with a broad range of AI applications and agents, including Claude, ChatGPT, Codex, Cursor, Windsurf, GitHub Copilot, Gemini CLI, QwenPaw, n8n, Dify, and others.

Does Linkly AI have a browser extension?

Yes. Its browser extension can save webpages as Markdown and can also capture supported images, translations, AI conversations, and video transcripts for later use with the local knowledge library.

Is Linkly AI free?

Yes. The Free plan provides local functionality at no cost. It includes local indexing, search, MCP and CLI access, AI-agent integrations, and other core features.

How much does Linkly AI Pro cost?

The current limited-time early-bird price is $29 per year. The pricing page displays a regular price of $66 per year.

Does Linkly AI offer cloud features?

Yes. The Pro plan provides enhanced cloud capabilities including higher cloud library quotas, frontier AI models, and an MCP Tunnel for accessing local knowledge from supported cloud AI services.

Can Linkly AI work with local AI models?

Yes. Linkly AI supports local model services such as Ollama and LM Studio, allowing users to configure local AI workflows and, where supported, operate the chat experience entirely offline.

When was Linkly AI launched?

The exact launch date was not publicly disclosed. Linkly AI’s April 30, 2026 v0.4.0 release stated that it was the biggest update in the two months since launch, placing the initial launch around February 2026.

What category does Linkly AI belong to?

Linkly AI primarily fits the Productivity category because it organizes personal knowledge and connects local information with AI assistants to make research, document retrieval, and knowledge-based work more efficient.

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