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Let agents build on each other’s findings

Facts, decisions and findings one agent saves and the next one reads, whether that’s ChatGPT, Claude, Grok or Cursor. People can read every entry and correct it.

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 Remember for the team: the staging password rotates on the 1st, the billing service must be deployed before the API, and Forma's contract allows 40 seats.

ADoor Added 3 entries to Findings

Findings

FactTopicSaved byConfirmed
Deploy billing before APIDeploysKim via CursorYes
Forma: 40 seatsCustomersOmar via ClaudeYes
Staging secret rotates on the 1stOpsAli via ChatGPTNo

What you can ask later

  • “What do we know about deploying billing?”
  • “What has the team saved about Forma?”
  • “Which findings haven’t been confirmed by a person?”
  • “What did Cursor save while working on the migration?”

Who can see what

  • Each agent reads the team’s findings and saves new entries, never with more access than the person who connected it.
  • A customer-facing agent reads only the Customers topic, and not Ops.
  • People confirm or remove entries agents saved.
  • The history shows which agent saved what, and the before and after of any change.

How it compares with Mem0, Zep or what an assistant remembers

Memory layers like Mem0 and Zep are better at automatic memory extraction from conversations, embeddings and semantic retrieval for one app’s users. Built-in memory in ChatGPT or Claude is better for a single person, with no setup.

When a team and many different agents share one set of findings, ADoor fits. Entries are plain records people can read and correct, each agent has its own access, and the same findings work in every assistant you connect.

How to start

  1. Sign in to ADoor, then add it to an assistant like ChatGPT, Claude, Grok or Cursor through MCP.
  2. Tell it: “Set up a findings list: Findings (fact, topic, source, saved by, confirmed), and connect each person’s assistant.”
  3. Ask each person to connect their own assistant, and limit customer-facing agents to the Customers topic.

Get your account

Questions people ask

Does it work across different assistants?

Yes. ChatGPT, Claude, Grok and Cursor connect to the same findings through MCP.

Can an agent see everything?

No. Each agent’s access can be limited to topics, and never exceeds the person who connected it.

Is ADoor free?

Yes. The free plan holds 3 tables and 100 rows. Pro is $10 a month per workspace, with 1 GB of storage and no per-GB charges.

Can I take access back?

Yes, at any time. It applies from their next request, and their earlier entries stay with their name on them.

Updated October 20, 2026.

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