Socratus Launches Private Local-First Workspace Uniting Notes, Code and AI Agents

A plugin-free note system combines Model Context Protocol support, on-device AI, an automatic knowledge graph and inline Python, with data kept under the user’s control

Socratus today launched a local-first workspace designed to close the gap between storing knowledge and understanding it. The application unites AI-powered retrieval, an interactive knowledge graph and inline code execution in a single environment that runs on the user’s own machine, giving knowledge workers document intelligence without moving their data to an external cloud.

The problem is common among people who rely on notes. Most applications capture information but do not connect it, leaving insight scattered across separate files and forgotten pages. Socratus treats each note as part of a connected layer that surfaces relationships automatically, retrieves answers across an entire library and keeps writing, data and AI in one place.

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How Socratus is designed

• 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.