Cloudroom: How I Run 200+ Agents At Once

David Ondrej1h
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    Video summary

    David Ondrej introduces Cloudroom through demonstrations of coding agents using different harnesses and existing model subscriptions. He presents separate Linux sandboxes as a way to reduce contention between agents and keep work running when a laptop is closed. His counter shows hundreds of open threads, which is not independent proof of hundreds of simultaneously active agents.

    David Ondrej walks through moving a task between a local machine and the cloud while retaining its working context. He then builds a research-digest workflow and a scheduled dependency-review loop with a second model reviewing findings. These examples illustrate orchestration and persistence rather than establishing that the resulting work is correct without supervision.

    David Ondrej describes a permission-controlled bridge through which cloud agents can read local files or operate desktop applications. He distinguishes disabled, read-only, approval-based and fuller access. That bridge is an important trust boundary: separate cloud sandboxes do not by themselves establish the security of access to local files, credentials or applications.

    David Ondrej discusses a Rust-focused core, separate interface components and incremental migration of projects to cloud tasks. He keeps local work for sensitive data, platform-specific development and demanding jobs on suitable hardware. Claims about unlimited scalability, reliability, competitor limitations and future adoption remain the creator's claims, not independently verified guarantees.

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    Editorial portrait of David Ondrej beside the blue-and-white headline AGENTS IN THE CLOUD against black. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 14 October 2026 and duration 1h.

    David Ondrej demonstrates Cloudroom as a multi-harness workspace for isolated cloud agents, persistent tasks and scheduled workflows that can optionally access his local machine.