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Agent OS: Open-Source AI Harness Brings Structure and Safety to Coding Agents

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A developer has released Agent OS, an open-source, local-first operating system designed to wrap around AI coding models and provide the infrastructure needed to reliably complete software tasks. The project separates responsibilities between a Main Agent, which handles planning and memory but cannot touch code, and a sandboxed Coding Agent, which can edit files and run commands but has no access to project memory or other workspaces. Tasks are not marked complete on the model's word alone — each coding run must pass a real build or test command, with browser, visual, and runtime verification steps available before any recovery is attempted. Destructive operations such as Git pushes, deployments, and database migrations require explicit user confirmation, preventing the agent from silently modifying external systems. The developer stress-tested the architecture by using Agent OS to build and deploy a full-stack SaaS called Pulseboard from scratch, and the project currently supports multiple AI providers including Claude, GPT, Gemini, and DeepSeek, with Windows as the most thoroughly tested platform.

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