Munder Difflin: Managing 12 AI Coding Agents in a Pixel-Art Office

I previously covered Paper Clips, but many of you gave up on it quickly — API costs were too high and resource consumption was hard to control. So I want to share a more visual, more manageable alternative I've been testing: Munder Difflin.

The name is an obvious nod to Dunder Mifflin from The Office, and the office metaphor carries through the entire product experience.

What Does Munder Difflin Do?

The core idea is to build a virtual copy of yourself. By defining instructions in the memory section, you create an AI assistant that behaves like you — so even when you're offline, the assistant and its surrounding agent team keep working.

The system supports 12 different CLI agent providers and presents everything through a pixel-art interface. Agents appear as pixel characters on the left panel; customization options sit on the right.

Interface and Features

In fullscreen mode you get access to:

To-do list and graphs: What each agent is working on and overall progress.
Org chart: Which agent reports to which.
Inbox: Team lead agents can message you directly; you can reply from the inbox.
MD files per agent: Define each agent's behavior and role individually.
Integrations: Connect to email, Slack, or dictate prompts by voice.
Team Plan: Lets you link the project to external sources — though I wasn't particularly impressed with this part.

The agent names mirror The Office characters — a small touch that completes the theme.

Periodic Scanning: Where It Beats Paper Clips

The feature I found most compelling is assigning scheduled scanning tasks to specific agents. You point an agent at a project, and whenever you or a teammate pushes a new commit or makes an update, the agent keeps scanning it. If it spots a problem based on the instructions you gave it, it reports back to you automatically. This looped monitoring behavior is much easier to set up here than in Paper Clips.

Performance and Caveats

I tested it for about a week. In terms of raw performance, it falls behind Paper Clips. It starts out making fairly basic mistakes, and you need to catch and correct them yourself. Once corrected, the system runs smoothly and memory works well — but expect some friction during the early setup phase.

Pricing

Local use: Free. Works as long as your computer is on.
Cloud plan ($20/month): The system keeps running even when your computer is off.
Team plan ($40/month per person): For collaborative use across a team.

There's also a $20 option to get your name listed on a supporter wall.

Who Is It For?

If Paper Clips felt too complex and you want a gentler entry into multi-agent workflows, Munder Difflin is a reasonable starting point. Try it locally first, get it running the way you want, then consider moving to the cloud plan.

My honest recommendation: if you have the patience, dig into the Paper Clips repo and optimize resource consumption — it's the better long-term choice. But if you want to get started with AI agents without the complexity, Munder Difflin does the job.