Agent Watch

An AI coding agent monitor app idea: see what every coding agent is doing right now. One week build with Tauri, Rust and Claude API, for developers running several ai agents at once.

See the spec
Why now

Why now

Running several agents at once is becoming normal. What's My Agent Doing drew hundreds of GitHub stars after its Oct 23 launch, and Corgi, an agent and terminal multiplexer, drew 141 points on Show HN the same day.

Checked at the source on Nov 2, 2026. Points, comments, and stars are from that day. GitHub counts are keyword matches, so treat them as a rough guide.

The spec

The spec

See every coding agent on your machine in one window: what it is working on, how long it has run, whether it is stuck, and which one is waiting for you.

Build time

One weekAPIs or integrations · Level 3 of 5

Audience

Developers running several AI agents at once.

Stack

  • Tauri
  • Rust
  • Claude API

Fun factor

Your terminal tabs stop being a guessing game.

Core features

  • Lists running agent sessions
  • Current task and run time
  • Flags sessions that look stuck
  • Notifies you when one needs input

AI features

  • Summarises a long session in a sentence
  • Explains why an agent seems stuck

Stretch goals

  • Support for more agents
  • Phone notifications
  • Session history and cost

First version

A window listing running sessions from one agent, using its local log files.

Build plan

Build plan

4 milestones, in the order you would build them. Saved ideas get this plan with checkboxes and notes.

Find sessionsRead local agent session logs.
Start here
Show statusTask, time, and last activity.
Spot troubleFlag long silences.
NotifyAn alert when input is needed.
The build prompt

The build prompt

Paste this into ChatGPT, Claude, Codex, or Cursor, then build the first version before anything else.

agent-watch.prompt.md
# Build Agent Watch

You are a senior full-stack engineer pairing with me on a side project. Build a working first version of the product described below. Read the whole brief before writing any code, then follow "How to work" at the end.

## The idea

**Agent Watch.** See every coding agent on your machine in one window: what it is working on, how long it has run, whether it is stuck, and which one is waiting for you.

**Why now:** Running several agents at once is becoming normal. What's My Agent Doing drew hundreds of GitHub stars after its Oct 23 launch, and Corgi, an agent and terminal multiplexer, drew 141 points on Show HN the same day.

**Who it is for:** Developers running several AI agents at once

**What makes it fun:** Your terminal tabs stop being a guessing game.

## Scope

- **Build time:** One week. Size every decision to ship a working first version inside this window.
- **Technical ambition:** Level 3 of 5, "APIs or integrations". The product leans on third-party APIs. Wrap each integration in its own module, handle its failures and rate limits, and cache what is safe to cache.
- **First version only.** Ship the core features below end to end. Stretch goals are listed so you can design around them, not build them.

## Core features (each must work end to end in the first version)

1. Lists running agent sessions
2. Current task and run time
3. Flags sessions that look stuck
4. Notifies you when one needs input

## AI features

- Summarises a long session in a sentence
- Explains why an agent seems stuck

How to build them:
- Put every model call behind one server-side module with a typed interface, so the provider can change without touching the UI.
- Read API keys from environment variables only, and document each one in `.env.example`.
- Write prompts as versioned constants with clear instructions and an example of the expected output; parse and validate responses before using them.
- Handle timeouts, rate limits, and malformed output with a graceful fallback the user can understand. Stream responses where a wait would exceed a couple of seconds.
- Never let a feature depend on the model being perfect. Show the result, let the user edit or retry.

## Stretch goals (later, not in the first version)

- Support for more agents
- Phone notifications
- Session history and cost

Leave clean seams for these (a module boundary, a nullable column, a feature flag), but do not implement them unless I ask.

## Tech stack

Use exactly: Rust, Claude.

Stay on current stable versions, follow each tool's official conventions, and add a library only when the standard library or the chosen stack cannot do the job cleanly. If part of this stack is a poor fit for a specific requirement, say so and propose the smallest change.

## Owner's notes

Written by me, the project owner. Treat these as requirements and preferences that override the generated material above when they conflict.

The first version should be exactly this, and no bigger: A window listing running sessions from one agent, using its local log files.

## Build plan (with saved progress)

0 of 4 steps complete. Resume at step 1: Find sessions. Before you start it, check what is already implemented so you do not repeat finished work.

1. **Find sessions** [not started]
   Read local agent session logs.

2. **Show status** [not started]
   Task, time, and last activity.

3. **Spot trouble** [not started]
   Flag long silences.

4. **Notify** [not started]
   An alert when input is needed.

## Definition of done for the first version

- [ ] Lists running agent sessions works end to end, with real data, not a placeholder.
- [ ] Current task and run time works end to end, with real data, not a placeholder.
- [ ] Flags sessions that look stuck works end to end, with real data, not a placeholder.
- [ ] Notifies you when one needs input works end to end, with real data, not a placeholder.
- [ ] Every screen handles loading, empty, and error states.
- [ ] Typecheck, lint, and any tests pass, and the main user flow was exercised by hand.
- [ ] A README explains setup, environment variables, and how to run it locally.

## Quality bar

- Responsive from a phone to a desktop, keyboard-accessible, semantic HTML, visible focus states, labelled inputs, and sensible contrast.
- Loading, empty, and error states for every screen that reads or writes data. Errors say what happened and what to do next.
- Validate on the server, never trust the client, and keep secrets in environment variables with a committed `.env.example`.
- Type-safe end to end. No `any` without a comment explaining why.
- Small, readable modules named after what they do. No premature abstraction, no dead code, no TODOs left for later without a note.
- Sensible defaults over settings. If a choice is not in this brief, pick the simplest option that keeps the product coherent and say what you chose.

## How to work

1. **Read, then restate.** Summarize the product in three sentences and list your assumptions. Ask only the questions that block implementation. For everything else, decide and note the decision.
2. **Plan before code.** List the files and modules you will create, in build order, mapped to the core features. If a build plan is included above, use it instead: resume at the first step not marked done and check what already exists before touching it.
3. **Set up.** If a project already exists, inspect its code, instructions, and conventions first and build on them. Otherwise scaffold the stack above with linting, formatting, a typecheck script, `.env.example`, and a README stub.
4. **Model the data first.** Define the types, schema, and any migrations before the UI, so the shape of the product is settled early.
5. **Build in vertical slices.** Finish one core feature end to end (data, logic, UI) before starting the next. Keep the app runnable after every slice and commit each slice with a message that says what changed and why.
6. **Then the interface.** Apply the quality bar above to each screen as it lands, not as a final pass.
7. **Verify.** Run typecheck, lint, and tests. Exercise the main user flow by hand. Check each item in the definition of done and each acceptance criterion.
8. **Report.** Tell me what works, what you tested and how, what is not done, every setup step I must complete myself, and the three most useful next steps. Never claim a service, test, or flow was verified when it was not.

If you can edit and run the project, start implementing right after the short plan. If you cannot, give me concrete code and the exact commands to run for the next step.

Rules: keep the product name and the scope as written, do not invent features, prefer boring and proven choices, and stop to ask me when a decision would be expensive to reverse.

How to use

  1. Copy the prompt above.
  2. Open ChatGPT, Claude, or your AI editor and paste it into a new conversation.
  3. Build milestone one, run it, then move to the next. Add stretch goals only after the first version works.

Want ideas built around you instead? Generate four from your own interests, time, and stack.

Frequently asked questions

FAQ

Frequently asked questions

Answers on what Agent Watch is, how to build it, and where example ideas come from.

Similar ideas

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