Turn any app into a local workspace for agents

Locality syncs apps like Notion, Google Docs, Slack, and Linear into a local filesystem so AI agents can read, edit, and safely sync changes using the file operations they already understand.

Free • Open Source • Runs Locally

Supporting Connectors with reliability in mind

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Apps were built for humans so agents struggle.

Your agent doesn't naturally see what you see

Apps were built with visual interfaces for humans. And we currently work around it by using MCPs, API calls or computer use through agents.

So your complex agent workflow now looks like this

Each action requires agent "thought" consuming tokens and minutes of time, even though calling the underlying API only takes about 100ms

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Work faster by mounting apps locally for your agents

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Locality exposes the data model behind apps as files

Pages and documents become folders and Markdown files that agents can read and write directly.

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, gets risky changes reviewed, and helps resolve conflicts before updates reach the source app.

Stop paying for AI subscriptions that only work on a single app

Use local models or use a single AI subscription from OpenAI or Anthropic or your favorite provider, and use it everywhere.

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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.

One filesystem. Infinite workflows.

Every app becomes a folder. Every document becomes a file. Every agent speaks the same language.

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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.