Socratus Launches Local-First Workspace for Knowledge Workers

Socratus, a local-first workspace, has launched a new application designed to enhance the way knowledge workers manage and utilize their notes, code, and AI agents. The platform combines Model Context Protocol support, on-device AI, an automatic knowledge graph, and inline Python execution, all while keeping data under the user's control.

The new Socratus workspace aims to bridge the gap between storing and understanding knowledge. Unlike traditional note-taking applications that often leave insights scattered across separate files, Socratus treats each note as part of a connected layer. This approach automatically surfaces relationships, retrieves answers across an entire library, and keeps writing, data, and AI in one place.

Key features of Socratus include: - Model Context Protocol Support: Agents such as Claude, Cursor, and Codex can connect to edit files, restructure content, and adjust the workspace through plain-language instructions. - On-Device AI: Semantic search, related-note discovery, and document-grounded chat run locally by default, with optional external providers available when the user enables them. - Automatic Knowledge Graph: Ideas are shown as an interactive, exportable network with relevance scoring, replacing static folders with visible connections between notes. - Inline Python: Code runs inside a note, keeping logic, output, and written context together. - Private and Portable: Notes are stored as plain-text files with local storage, optional cloud sync, and file-level encryption powered by QEncrypt.

Socratus is now available for personal use, free of charge, with access to AI-powered discovery, graph view, and plain-text storage. For commercial users, Socratus offers a one-year Professional license for $23.99 or a three-year Enterprise license for $49.99. The company reports that more than 1,000 people currently use Socratus, with the application available for download at [socratus.app].

Socratus is a local-first workspace that helps knowledge workers capture, connect, and act on information. It combines on-device AI, an automatic knowledge graph, inline code execution, and Model Context Protocol support to turn static notes into a connected system while keeping data under the user's control.