Local agents · standing watch

The work keeps moving.You keep control.

Watchkeeper runs specialized agents across your engineering systems, verifies what’s actually true, and brings you the decisions that need a human.

Runs on your Mac Read-only by default Reachable from iPhone
The gap

Your tools report activity. Not reality.

Tickets drift. Reviews wait. Context disappears into transcripts. Watchkeeper compares what systems claim with the code, conversations, and outcomes underneath.

01 / SIGNAL

The ticket says done.

Watchkeeper checks the merged code, live state, and acceptance criteria before calling it finished.

02 / ATTENTION

Fifty reviews look urgent.

It separates the three requests actually waiting on you from the team-level noise.

03 / MEMORY

You solved this before.

It turns past agent sessions into organized, searchable working context that stays on your machine.

How it works

Always watching. Never freelancing.

Purpose-built watchers handle repeatable operational work on a schedule. You get evidence, a clear recommendation, and control over every consequential action.

Watch

Stay on the systems

Scheduled agents monitor the workflows you choose—without a browser tab or babysitting.

Verify

Ground every finding

Watchers inspect the underlying code and source systems, then show the evidence behind their conclusion.

Decide

Escalate what matters

Review findings on Mac or iPhone. Approve, reject, or take over before anything important changes.

watchkeeper / live watch
09:41

What needs you

3 signals across 5 watchers
All systems watching
Review requested · api-gateway #1842

One blocking auth regression found. Evidence attached and fix proposed.

Epic status drift · ENG-412

Jira says In Progress; the rollout is live in 3 of 4 regions.

Context organized · agent sessions

14 new sessions classified into active workstreams.

The watch

A crew built for engineering operations.

Each watcher has a narrow job, a native interface, and shared guardrails. Start with the workflows you need; add more as your watch grows.

Pull requests

Review Watch

Finds reviews truly assigned to you, runs grounded analysis, and queues suggested feedback for approval.

Delivery

Epic Watch

Re-derives actual progress from code and live systems, exposing drift, blockers, and the next decision.

Work queue

Ticket Watch

Answers what a ticket really needs and what comes next using cited files, not stale prose.

Memory

Context Watch

Organizes your agent history into durable work memory so hard-won context does not vanish with a terminal session.

Systems

Pipeline & service watches

Monitor delivery infrastructure, Slack investigations, AWS access, and other operational surfaces from the same trusted shell.

Designed for trust

Close to your work.
Far from reckless.

Watchkeeper is built around the practical boundary between autonomous investigation and accountable action.

01

Local-first execution

Your Mac runs the agents and retains the working data. Watchkeeper uses the tools and credentials you already control.

02

Read-only investigation

Service access is constrained through purpose-built read-only wrappers. Agents gather evidence; they do not roam freely.

03

Human-gated actions

Consequential writes move through native confirmation and approval flows, with explicit opt-in for any automation.

04

Native, not another tab

A real Mac app does the work in the background. The iPhone companion keeps status, runs, and approvals within reach.

The Watchkeeper principle
Systems report what was entered.
Watchkeeper finds what is true.

Evidence before action. Judgment where it counts.

Put the operational work on watch.

Request private beta ↗