## Problem The metadata store cache (object/field metadata, views, page layouts, command menu items, …) is persisted client-side to power **cache-first boot**: the app renders instantly from the cache, then `MinimalMetadataLoadEffect` revalidates per-collection hashes and only refetches what's stale. It was persisted to **localStorage**, which Safari/WebKit caps at **~5 MB per origin, counted in UTF-16 (2 bytes/char)** → an effective ceiling of ~2.5 M characters. Measured on the seeded demo workspace (33 objects, 612 fields): | Bucket | Safari quota (UTF-16) | |---|---| | `metadataStoreState__*` (26 keys) | **1.9 MB — 37%** | | Whole origin | **2.47 MB — 48%** | A workspace ~2.5× the demo's schema blows past 5 MB, and there is **no `QuotaExceededError` handling** — `setItem` throws and breaks the app. This is what large-workspace users on Safari have been hitting. ## Fix Move **only the metadata store** to **IndexedDB** (multi-GB, disk-based quota), keeping a **fully synchronous read path** so the ~24 consumers that read these atoms with `useAtomValue` never suspend. The auth/UI atoms (incl. the synchronously-read `tokenPair`) stay on localStorage — intentionally scoped. - **`createIndexedDbBackedJotaiStorage.ts`** — a synchronous Jotai storage facade backed by an in-memory map, hydrated once from IndexedDB at boot and written through on every set. IndexedDB access uses the **`idb-keyval`** library (by the IndexedDB spec co-author, ~0.6 KB) rather than a hand-rolled wrapper. Each cache gets its own database + BroadcastChannel (`twenty-front-<cacheName>`), so it's safely reusable. Swallowed errors are surfaced via `logError`. When IndexedDB is unavailable the cache stays in memory only (re-fetched each boot). - **`createAtomFamilyState`** — gains an optional `storage` param; `metadataStoreState` uses the IndexedDB-backed storage. - **`index.tsx`** — awaits hydration before mounting so atoms (`getOnInit: true`) read the persisted snapshot synchronously → cache-first boot preserved. - **No migration**: the facade does not touch localStorage at all. Pre-existing localStorage snapshots are ignored — on first boot of the new code the IndexedDB cache is empty and atoms re-fetch from the network (a one-time reconnect). Old `metadataStoreState__*` localStorage keys are left in place (cleared by the existing logout/reset cleanup); new writes only ever go to IndexedDB. - **Cross-tab sync**: the old localStorage atoms synced across tabs for free via `storage` events; the IndexedDB facade had no equivalent, so a schema change in one tab left others stale until reload. Restored by implementing the Jotai storage `subscribe` contract over a **`BroadcastChannel`** — writes broadcast to other tabs, which update their in-memory map and notify `atomWithStorage` subscribers so mounted atoms re-render live. (BroadcastChannel doesn't echo to the sender, so no feedback loop; guarded for environments without it.) ## Why a synchronous facade (not async `atomWithStorage`) Consumers use `useAtomValue` directly; an async storage would make the atoms resolve to Promises and **suspend** every reader. The in-memory facade keeps reads synchronous (zero ripple on consumers) and confines the async part to a single bulk read at boot, which the existing `MinimalMetadataGater` loader already covers. ## Tests ### Automated - Unit test (10 cases) for the storage facade: synchronous read/write, IndexedDB write-through, hydration from IndexedDB, `removeItem`/`clear`, per-cache DB namespacing, persist-failure logging, in-memory-only behaviour when IndexedDB is unavailable, distinguishing a stored `undefined` from a missing key, and cross-tab subscriber registration. - Existing metadata-store tests (`useIsLayoutCustomizationDirty`, `useDefaultHomePagePath`) still pass. - `nx typecheck twenty-front` and `nx lint:diff-with-main twenty-front` clean. ### Manual (local seeded workspace, two tabs, Playwright) Storage: - After login the metadata cache lives in **IndexedDB (24 keys, ~945 KB)** and **localStorage drops 48% → 11%** of the Safari quota (the remainder is `currentUserState` + auth, out of scope). - Reload boots from the cache (no heavy refetch). Scenarios: | Scenario | Result | |---|---| | **Sign out** | auth cleared, redirect to sign-in, no leftover localStorage, no errors | | **Sign back in** | metadata `up-to-date`, company table renders, token restored | | **Add object** (`Gadget`) | write-through to IndexedDB; survives reload via cache-first hydration | | **Add view** (`QA Cross Tab View`, TABLE) | persisted to the `views` collection (`up-to-date`) | | **Two tabs open** | second tab boots cleanly from the shared IndexedDB — no lock/crash under concurrent access | | **Cross-tab live sync** | creating an object in tab A makes it appear in tab B's open settings object list **without a reload** | Verified by design (no regression): - Runtime sign-out (`clearSession`) clears session keys and does a full `window.location.assign` reload; the metadata-clearing path (`resetJotaiStore`) is test-only, so there's no async-`clear()`-vs-sign-in race. Metadata persisting across sign-out is unchanged from the old localStorage behavior (it's schema, revalidated by hash on next login). ## Notes / follow-ups (not in this PR) - **IndexedDB query capabilities** are not used yet: the cache stores one blob per collection (as it did in localStorage), so this is still a pure key-value use (`idb-keyval`). If we later want to query individual metadata records — e.g. fields by `objectMetadataId` via an index/cursor, or partial hydration — that means record-level storage and a richer wrapper (`idb` for a thin near-native layer, or **Dexie** for a full query API + reactive `liveQuery` that could also replace the BroadcastChannel sync). - IndexedDB still has a (large) quota and Safari ITP eviction applies to both stores — the cache-first design already tolerates eviction by revalidating. - Complementary "load less" wins remain: the denormalized per-field `relation` block (~700 chars/field of pure duplication) and persisting `currentUser.workspaceMembers` (the ~0.5 MB still in localStorage). <!-- This is an auto-generated description by cubic. --> <a href="https://cubic.dev/pr/twentyhq/twenty/pull/21586?utm_source=github" target="_blank" rel="noopener noreferrer" data-no-image-dialog="true"><picture><source media="(prefers-color-scheme: dark)" srcset="https://www.cubic.dev/buttons/review-in-cubic-dark.svg"><source media="(prefers-color-scheme: light)" srcset="https://www.cubic.dev/buttons/review-in-cubic-light.svg"><img alt="Review in cubic" src="https://www.cubic.dev/buttons/review-in-cubic-dark.svg"></picture></a> <!-- End of auto-generated description by cubic. -->
The #1 Open-Source CRM
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Why Twenty
Twenty gives technical teams the building blocks for a custom CRM that meets complex business needs and quickly adapts as the business evolves. Twenty is the CRM you build, ship, and version like the rest of your stack.
Learn more about why we built Twenty
Installation
Cloud
The fastest way to get started. Sign up at twenty.com and spin up a workspace in under a minute, with no infrastructure to manage and always up to date.
Build an app
Scaffold a new app with the Twenty CLI:
npx create-twenty-app my-app
Define objects, fields, and views as code:
import { defineObject, FieldType } from 'twenty-sdk/define';
export default defineObject({
nameSingular: 'deal',
namePlural: 'deals',
labelSingular: 'Deal',
labelPlural: 'Deals',
fields: [
{ name: 'name', label: 'Name', type: FieldType.TEXT },
{ name: 'amount', label: 'Amount', type: FieldType.CURRENCY },
{ name: 'closeDate', label: 'Close Date', type: FieldType.DATE_TIME },
],
});
Then ship it to your workspace:
npx twenty app:publish --private
See the app development guide for objects, views, agents, and logic functions.
Self-hosting
Run Twenty on your own infrastructure with Docker Compose, or contribute locally via the local setup guide.
Everything you need
Twenty gives you the building blocks of a modern CRM (objects, views, workflows, and agents) and lets you extend them as code. Here's a tour of what's in the box.
Want to go deeper? Read the User Guide for product walkthroughs, or the
Documentation for developer reference.
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Stack
TypeScript
Nx
NestJS, with BullMQ,
PostgreSQL,
Redis
React, with Jotai, Linaria and Lingui
Thanks
Thanks to these amazing services that we use and recommend for code review (Greptile), catching bugs (Sentry) and translating (Crowdin).
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