Agents as Documents: Swarm Orchestration for Secure Automation within a Hypermedia Workspace
TL;DR
The addition of an agentic framework powered by open-source models running locally via Ollama is described, which demonstrates three core capabilities: context provision through native bidirectional linking, local multi-agent workflow orchestration, and a security model guaranteeing that sensitive data never leaves the device.
Abstract
We demonstrate Dash, a hypermedia workspace in which AI agents operate as first-class documents on a freeform spatial canvas, running entirely on-device without transmitting user data to external servers. Building on the Dash hypermedia system—which treats all document types uniformly within a richly linked spatial canvas— this work describes the addition of an agentic framework powered by open-source models running locally via Ollama. The accompanying video illustrates three core capabilities: context provision through native bidirectional linking, local multi-agent workflow orchestration, and a security model guaranteeing that sensitive data never leaves the device. A medical scenario walkthrough demonstrates the system's applicability to HIPAA-regulated clinical documentation, though the same agentic workflows apply equally to legal document review, defense intelligence analysis, financial modeling, and academic research.