AI Pulse · Under the Radar

A new open-source project called useagent is taking a practical approach to AI coworkers. Instead of letting one agent operate across everything, it runs each task or conversation thread inside its own isolated Linux sandbox. That matters because a task involving code, email, customer records, or internal documents should not automatically have access to every other task.

The system is built to work with agents such as Claude Code, Codex and OpenCode. It keeps a durable record of each run in Postgres, so work can survive a restart rather than disappearing when a session ends. It also includes a secure credentials gateway and human approval steps for actions across tools including Slack, GitHub, Gmail, Linear, Notion and HubSpot. In plain terms, it is trying to make AI agents useful inside real operating systems without handing them the keys unchecked.

There is early interest, with 125 GitHub stars on day one. More telling is the 1,351 commits already on the main branch, which suggests this is likely an established codebase being released publicly, not a project built overnight. That does not prove it is production-ready, but it is a useful signal for operators watching this space.

The bigger point is that safe agent deployment is becoming an operations problem, not just an AI model choice. You need task boundaries, permission controls, records of what happened, and a person able to approve sensitive steps. This is the kind of thing we build into an AI command centre, where useful automation has clear guardrails and accountability.