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Holmes: Open-Sourcing a Model-Agnostic Cloud Coding Agent

Lucas Meijer open-sourced holmes, a cloud-based coding agent that works with any model. He followed up with practices for running agents across multiple machines, including autonomous SSH key scheduling and Mac simulators.

2026-10-09 ~ 2026-10-09 · 2 episodes · 15 posts

Episode 1 · Developer Open-Sources holmes, a Cloud Agent Coding Tool with Swappable Models and Isolated Environments (2026-10-09, 12 posts)

On October 9, developer Lucas Meijer open-sourced and released for free holmes, a cloud agent coding tool he had been using for months. The tool aims to address three pain points in his AI-assisted programming: not being locked into any single AI lab, cloud agents running in isolated environments unable to touch his local laptop, and staying on top of codebase state without hand-writing code.

Confirmed

  • holmes runs cloud agents on the user's own hardware, assigning each task an isolated remote development environment with its own browser, terminal, and VS Code instance.
  • The tool takes an "any agent, any model, any subscription" approach — for example, running the original Claude Code with the user's existing Claude subscription.
  • The project is free and open source, and the mobile experience is highlighted by the author as a key feature.
  • holmes is specifically designed for evaluating agents' work.

Why it matters

  • It offers a free, open-source option for a cloud-agent workflow that isn't locked to a single lab and uses your own subscriptions — appealing to developers who want to keep existing subscriptions (like a Claude subscription) while running agents in isolated environments; the per-task isolated environments also reduce the risk of agent mistakes affecting the local machine.

Episode 2 · Developers Share Multi-Machine Agent Workflows with SSH and Mac Simulators (2026-10-09, 3 posts)

Developer lucasmeijer shared his multi-machine agent workflow on AgentsInTheCloud, giving agents SSH keys to schedule other machines and an external Mac for iOS simulator testing. The platform's author explained that agents learn their environment via fully transparent, inspectable prompts.