Work faster by mounting apps locally for your agents

Locality turns state of apps like Notion and Google Docs into local files and folders so agents can quickly read, edit, review and sync work through the file operations they already understand.

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Apps were built for humans so Agents Struggle.

Your favorite app was never built for agents

Apps were built with visual interfaces for humans. And we've worked around it by calling with MCPs and API calls through agents.

So your complex agent workflow now looks like this

Each action requires agent "thought" consuming tokens and minutes of time

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Locality turns any app into a native local workspace for agents

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Locality exposes the data model behind apps as files

Pages, documents, and child content become folders and Markdown files that agents can read and write with normal tools.

Let agents work where they are strongest

Agents can read, edit, grep, compare, and combine context across apps with a unified file interface.

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Sync without losing control

Locality automatically checks freshness, shows diffs, pauses for risky changes, and helps resolve conflicts before updates reach the source app.

How working with Locality looks like.

Locality keeps the remote app as the source of truth while giving agents a local workspace that behaves like a filesystem.

1. Connect

Authenticate Notion, Google Docs, or another supported system once.

2. Mount

Choose a workspace and expose it as folders and Markdown files.

3. Browse

You can use your File Explorer or Finder to see and locate your app's data

4. Read and Edit

Let agents use grep, editors, tests, and normal file operations to do the work.

5. Review

For important changes, review those before your app's data is updated.

6. Sync

Your changes are validated and make its way back to the original app.

Designed for knowledge work that agents can actually finish.

Locality is useful anywhere agents need to understand existing knowledge, make careful edits, and keep the original app up to date.

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Agent ready workspaces

Give every agent a predictable local contract instead of teaching each one a different app-specific interface.

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Local AI with emergence of local AI assistants

Agents attempt to gather workspace context via cloud APIs, they suffer from significant latency and network overhead

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Local AI with emergence of local AI assistants

Agents attempt to gather workspace context via cloud APIs, they suffer from significant latency and network overhead

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Ops handoffs

Convert scattered notes into plans, checklists, and status updates while keeping the system of record current.

Works with your existing tools

Works with your
existing tools

Agents get the interface they are best at: files, folders, diffs, and command-line tools.