Which AI agent is doing what — and should it be allowed to?

DeepSweep Governance Studio answers that for every AI coding agent on your machine, from one desktop app. It works local-first and metadata-first: your source code never leaves your machine.

1 · Review

Point Studio at a workspace and get an Agent Environment Review in about a minute: which AI agents are configured, what they can reach, and where the owner and boundary gaps are.

2 · Authorize

Turn the review into policy: allow, require approval, or deny — per agent and per action. Deny wins, and anything unspecified requires approval by default.

3 · Audit

Every decision lands in a local audit ledger — who (which agent), what, why, and under which policy — so you can answer for agent activity after the fact.

What using it looks like

  1. Install Studio (macOS or Windows — one app for all agents, below).
  2. Open it on a project folder. The first review runs read-only and offline.
  3. Read the review: agents found, tool access, boundary gaps ranked by severity.
  4. Apply the suggested policy, then tighten it: approve-by-default is the starting posture; grant specific agents specific permissions as you trust them.
  5. Keep shipping — the audit ledger records every agent decision locally, and CI can gate on the same review so gaps never merge silently.

DeepSweep Governance Studio

One app to govern every AI coding agent

Review what your agents can reach, authorize what they're allowed to do, and keep an audit trail — Cursor, Claude Code, Copilot, Windsurf and the rest, governed from a single desktop app. No per-editor setup.

Early access — first builds go out to this list. See how it works

Governs agents in the tools you already use