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patens
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About patens
patens is a local-first research and synthesis tool designed to eliminate context switching and clipboard management when gathering information for AI prompts. It operates as a background vector memory engine that captures snippets, tables, and quotes from web pages or PDFs with one click, preserving origin URLs and timestamps. The tool integrates with browsers and IDEs via extensions or standalone applications, allowing users to stream structured, cited Markdown directly into AI chat interfaces or code editors. Research is automatically clustered into a hierarchical document tree, enabling precise navigation and selective injection into prompts without re-explaining context. A 40-second undo window and persistent local storage prevent accidental data loss while maintaining 100% source provenance. The system supports zero-hallucination synthesis by retaining metadata and formatting citations automatically, making it suitable for tasks like market research, competitive analysis, and technical documentation.
Key features
- 1-click snippet capture with Ctrl+Shift+Click
- 40-second undo window for clip management
- Hierarchical document tree for navigation
- Automatic citation engine with origin URLs
- PDF extraction with layout-safe tables
- FastMCP integration for local memory queries
- IDE extensions for Cursor, VS Code, JetBrains
- Standalone desktop app for standalone research sessions
Use cases
- Competitive pricing analysis across multiple vendor pages
- Technical research synthesis from academic papers and documentation
- Market intelligence gathering from forums, SEC filings, and reviews
Pros
- One-click capture of web snippets, tables, and PDF content with preserved origin metadata
- Persistent local vector memory that retains context across sessions without re-uploading
- Supports hierarchical navigation and surgical precision when injecting data into AI prompts
- Zero token waste with direct streaming of structured, cited Markdown to AI interfaces
- Available as IDE extensions, desktop app, or standalone binary for offline use
Cons
- Requires local installation of background daemon and browser extension
- Limited to desktop environments; no mobile or cloud-based version
- No native support for real-time collaborative editing or shared workspaces
Frequently asked questions about patens
What is patens and what does it do?
patens is a local-first research and synthesis tool that captures snippets, tables, and quotes from web pages or PDFs with one click, preserving origin URLs and timestamps. It operates as a background vector memory engine that clusters research into a hierarchical document tree and allows structured, cited Markdown to be streamed directly into AI chat interfaces or code editors.
Who is patens designed for?
patens is designed for researchers, analysts, developers, and anyone who needs to gather and synthesize information from multiple sources without context switching or clipboard management. It is particularly useful for tasks like market research, competitive analysis, and technical documentation.
How does patens integrate with other tools?
patens integrates with browsers and IDEs via extensions or standalone applications, including Visual Studio Code, Cursor, Windsurf, JetBrains, and standalone AI tools like Claude or ChatGPT. It also supports FastMCP for querying local memory and auto-syncs physical _context/ files for reference in supported editors.
Can patens work offline?
Yes, patens is designed to be 100% air-gapped and local, meaning all research and memory are stored on the user's local hardware. It does not require an internet connection to function once installed.
How do I get started with patens?
Users can get started by installing the browser extension, desktop app, or standalone binary from the Microsoft Store or direct download. The tool offers a live sandbox simulation for testing the workflow without installation, and setup guides are available for specific AI or workspace integrations.
Does patens support PDF extraction?
Yes, patens supports layout-safe PDF extraction, allowing users to open any PDF in their browser and harvest clean structured text, tables, and figures in seconds without broken formatting.
