Introducing HQ

Most “AI assistants” stop at chat. HQ doesn’t. We built a platform where agents live in the tools your team already uses, Slack and Microsoft Teams, and actually do the work: run a shell, drive a browser, call your SaaS APIs.

Real work, not just chat

When you @-mention an HQ agent, it doesn’t just reply. It spins up a warm, per-thread sandbox and executes, then reports back with the result and a full trace of what it did.

Safe by construction

Every conversation is a strand: its own isolated microVM that persists, snapshots, and resumes. Nothing leaks between workspaces, and every action carries an identity chain into an immutable audit log. That’s not a feature we added late; it’s the foundation, built for the EU AI Act, with a choice of EU or US data residency.

Bring your own model

A polyglot runtime speaks Claude, OpenAI, and OpenCode through one MCP tool layer. Use the models you trust today; swap them tomorrow without rewrites.

This is the first post in a series. We’ll go deep on the sandbox model, the identity chain, and how agents pick up tools, memory, and identity.

Want to see it in your own workspace? Request access.