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Run a task queue for your agents

People add work in plain words, agents claim it, do it and write back the result. Each agent edits only the tasks it claimed.

Use cases All use cases

For builders

How to connect ChatGPT and Claude to the same data How to give an AI agent safe, scoped access to data A database for vibe-coded apps, with access built in

AI and engineering

Keep a daily work log Keep a prompt library for Claude, ChatGPT and Cursor Let agents build on each other’s findings Run a task queue for your agents Share agent traces across a team Share research notes Track eval results over time Start an experiment tracker Keep a model training log Keep feature flags and config agents can read Keep bug reproductions and test cases Record deploy and release history Keep an inventory of API keys and services Start a dataset registry Collect standup notes from assistants Keep an incident log Log benchmarks and latency measurements Track GPU and compute spend Start a labeling and annotation queue

Personal

Keep a side-project idea backlog Start a habit tracker Start a reading log Track what you’re learning Track subscriptions Start a budget tracker Start a movie and TV tracker Start a home inventory Keep a plant care log Keep a car maintenance log Plan your travel Keep a tasting journal Track a collection Keep notes on the people you know Track job applications Keep a vocabulary list Track important documents Keep a food log Start a training log Keep a log of your own numbers Keep a schedule of what is due and when to refill Start a recipe collection Keep a list of things to buy Share a pet care log Keep a daily journal Keep gift ideas and birthdays

Business

Track consulting time Track freelance clients and invoices Track fundraising Start a lightweight issue tracker Back an internal tool Store a customer-facing app’s data Plan a content calendar Collect customer feedback and feature requests Manage event attendees and sponsors Report from many sources Start a customer list Track sales deals Keep a customer support log Track hiring Start an employee directory and onboarding checklist Track inventory Track orders and suppliers Start an asset and equipment register Track partners and resellers Track contracts and renewal dates Keep a price list and build quotes

Collaborative

Split expenses Share a research reading list Plan an open-source project roadmap Build a shared world-building bible Plan a house renovation Start a shared household list Share a household chores rota Keep a family schedule Track kids’ activities Plan a trip with friends Plan a wedding or party Run a book club Run a sports team or club Run volunteer and community sign-ups Run a student group project Start a neighborhood tool-lending list Share a weekly meal plan Write babysitter and caregiver handover notes Plan a shift schedule Plan a carpool rota Share a packing list Coordinate help for a parent

An example

@ADoor How far have the agents got with this morning's three tasks?

ADoor Read 3 entries from Agent tasks

Agent tasks

TaskStatusClaimed byResult
Triage 40 new issuesDonetriage-bot37 labeled, 3 for review
Changelog for v1.43Claimedwriter-bot–
Check docs linksOpen––

What you can ask later

  • “What’s open, and what’s been claimed for more than an hour?”
  • “What did the agents finish today?”
  • “Which tasks failed, and why?”
  • “Requeue the docs check.”

Who can see what

  • People add tasks and read results.
  • Each agent claims tasks and edits Status and Result on its own tasks only.
  • An agent that needs more access for a task asks, and you approve or deny.
  • A CI job can add tasks with short-lived access when a build fails.

How it compares with a job queue or an issue tracker

Job queues like SQS or Celery are better for high-volume machine work with retries and delivery guarantees. ADoor isn’t a message queue.

Agent work that people care about fits ADoor: tasks added in plain words, claimed by agents with their own access, and results anyone can read and ask about.

How to start

  1. Open an assistant like ChatGPT, Claude, Grok or Cursor and connect ADoor through MCP.
  2. Tell it: “Set up an agent task queue: Agent tasks (task, added by, status, claimed by, claimed at, result).”
  3. Give each agent access to claim tasks and edit Status and Result on its own tasks.

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Questions people ask

Can two agents claim the same task?

ADoor supports compare-and-set edits: a change made against an outdated value is rejected, so only one claim wins.

Can I limit what an agent can do?

Yes. Each agent gets its own access, down to specific fields, or just the entries that match a value you choose.

How much does ADoor cost?

The free plan holds 3 tables and 100 rows, enough to start a list like this. Pro is $10 a month per workspace, with 1 GB of storage and no per-GB charges.

Does it work with Claude and Grok too?

Yes. ChatGPT, Claude, Grok and Cursor all connect through MCP with a sign-in, and each gets its own access that you can narrow or remove later.

Updated October 20, 2026.

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