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Agent Ground Control v0.1.0 — Build Week Evaluation

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@hangglider5 hangglider5 released this 21 Jul 03:27
d0bcbf2

Agent Ground Control v0.1.0 — Build Week evaluation build

Agent Ground Control is a macOS-first menu bar app and CLI that answers one machine-level
question: what did my coding agents leave running?

It attributes local processes, loopback ports, LaunchAgents, browsers, and worktrees to Codex,
OpenClaw, and Hermes Agent runs. A deterministic safety gate previews cleanup, revalidates process
identity, refuses ambiguous or dirty-worktree cases, uses graceful termination, and records an
immutable receipt.

Download

  • Agent-Ground-Control.dmg — macOS 14 or later, Apple Silicon
  • SHA-256:
    f523cc657af49535b502fdfa5d52628bddfbe18e3ff26bcde02d96f70d80fe9c

Verify after downloading:

shasum -a 256 Agent-Ground-Control.dmg

Evaluation-build notice

This hackathon test build is ad-hoc signed. It is not Developer ID signed or notarized. After
verifying the checksum, macOS may require System Settings → Privacy & Security → Open Anyway
on first launch. The README contains the complete installation, Login Items, Demo Lab, CLI, and
uninstall workflow.

The exact package passed the complete warning-as-error release gate. The packaged service
lifecycle also passed an installed SMAppService register/run/unregister smoke during release
qualification. No agent account, API key, runtime LLM, root access, or network connection is
required for the deterministic Demo Lab.

Fast judge path

  1. Drag the app from the DMG to /Applications and open it.
  2. In Inspector → Settings, enable automatic daemon startup.
  3. In Demo Lab, choose Start simulated suite.
  4. Inspect the orphan-browser evidence and dirty-worktree refusal.
  5. Compare the UI cleanup preview with the shipped agentctl CLI.
  6. Confirm one eligible cleanup and inspect its immutable receipt.
  7. Stop Demo Lab and disable automatic daemon startup before uninstalling.

See docs/testing/judge-guide.md for the ten-minute no-rebuild walkthrough.

Source code is licensed under Apache-2.0.

What Codex and GPT-5.6 contributed

Codex with GPT-5.6 helped research upstream agent behavior, refine the product and safety
architecture, implement the native Swift modules test-first with subagents, run independent
reviews, and close integration, privacy, performance, and packaging defects. The shipped runtime
is deliberately classical and deterministic: no LLM API is called by the app.