Essential Tools for Managing Local AI Agent Workflows Remotely

This document outlines three essential tools for managing local AI and agentic workflows, allowing users to orchestrate compute tasks from anywhere. The core objective is to move away from desk-bound AI inference by establishing persistent, remote-accessible development environments. Key concepts include maintaining persistent sessions, enabling mobile access to terminal environments, and creating mesh networks for secure device-to-device communication. The three recommended tools are: 1) tmux, which creates persistent terminal sessions that remain active even if the user disconnects; 2) Termius, which enables secure SSH terminal access via mobile devices; and 3) Tailscale, which links machines into a mesh network for seamless remote access. The author highlights the use of an NVIDIA DGX Spark to benchmark the Qwen 3.6 27B model using the Hermes agent as a practical application of this workflow. By implementing these tools, users can manage multiple simultaneous agent sessions from a phone, eliminating the need to wait physically at a desk for inference to finish. This approach promotes the philosophy of owning your compute and maintaining full control over infrastructure regardless of physical location.