--- title: Signals created_at: 12/28/2025 updated_at: 12/28/2025 keywords: - signals - reactive - state - atoms - computed - reactor - hooks status: published date: 12/28/2025 readability: 9 voice: 9 completeness: 9 accuracy: 10 notes: '' --- The tldraw SDK uses signals for state management. Signals automatically track dependencies: when state changes, only the parts of your application that depend on that state update. The editor exposes many of its internal values as signals. Methods like `editor.getSelectedShapeIds()` and `editor.getCurrentPageShapes()` return reactive values that update automatically when the underlying state changes. The React bindings connect these signals to components. You don't need to manage subscriptions yourself. The signals library lives in `@tldraw/state` and its React bindings in `@tldraw/state-react`. Both are re-exported from `tldraw`, so `import { atom, useValue, track } from 'tldraw'` also works. ## Core concepts ### Atoms An atom holds a mutable value. When you change the value, any computeds or effects that depend on the atom will update. ```ts import { atom } from '@tldraw/state' const count = atom('count', 0) count.get() // 0 count.set(5) count.get() // 5 // Update based on current value count.update((n) => n + 1) count.get() // 6 ``` The first argument is a name for debugging. The second is the initial value. Atoms accept an options object with `isEqual` (a custom equality function), `historyLength` (the number of diffs to retain for incremental updates), and `computeDiff` (a function to compute diffs between values, only used when `historyLength` is set). ### Computed values A computed derives its value from other signals. It recomputes only when its dependencies change. ```ts import { atom, computed } from '@tldraw/state' const firstName = atom('firstName', 'Jane') const lastName = atom('lastName', 'Doe') const fullName = computed('fullName', () => { return `${firstName.get()} ${lastName.get()}` }) fullName.get() // 'Jane Doe' firstName.set('John') fullName.get() // 'John Doe' — recomputed automatically ``` Computed values are lazy: they don't calculate until you call `.get()`. They also cache their result. If you call `.get()` multiple times without any dependencies changing, the derivation function runs only once. The `@computed` decorator provides the same functionality for class methods: ```ts import { atom, computed } from '@tldraw/state' class Counter { count = atom('count', 0) @computed getDoubled() { return this.count.get() * 2 } } ``` ### Effects and reactors Effects run side effects in response to signal changes. There are two ways to create them: ```ts import { atom, react, reactor } from '@tldraw/state' const count = atom('count', 0) // react() starts immediately and returns a cleanup function const stop = react('log count', () => { console.log('Count is:', count.get()) }) count.set(1) // logs: Count is: 1 count.set(2) // logs: Count is: 2 stop() // Stop listening // reactor() gives you control over when to start const r = reactor('log count', () => { console.log('Count is:', count.get()) }) r.start() // Begin listening r.stop() // Stop listening ``` Effects track which signals they read and re-run when those signals change. The `scheduleEffect` option lets you batch updates, for example using `requestAnimationFrame`: ```ts react( 'update-dom', () => { // DOM updates based on signal state }, { scheduleEffect: (execute) => requestAnimationFrame(execute), } ) ``` ### Transactions Transactions batch multiple changes into a single update. Effects only run once after all changes complete: ```ts import { atom, react, transact } from '@tldraw/state' const a = atom('a', 1) const b = atom('b', 2) react('sum', () => { console.log('Sum:', a.get() + b.get()) }) // Without transaction: effect runs twice a.set(10) // logs: Sum: 12 b.set(20) // logs: Sum: 30 // With transaction: effect runs once transact(() => { a.set(100) b.set(200) }) // logs: Sum: 300 ``` The `transaction` function supports rollback: ```ts import { transaction } from '@tldraw/state' transaction((rollback) => { a.set(999) if (somethingWentWrong) { rollback() // Restores original values } }) ``` ## React integration The `@tldraw/state-react` package connects signals to React components. ### useValue The most common hook. It reads a signal value and subscribes the component to changes: ```tsx import { atom } from '@tldraw/state' import { useValue } from '@tldraw/state-react' const count = atom('count', 0) function Counter() { const value = useValue(count) return
Count: {value}
} ``` You can also compute a value inline with a dependency array: ```tsx function ShapeInfo({ editor }) { const selectedCount = useValue('selected count', () => editor.getSelectedShapeIds().length, [ editor, ]) return
{selectedCount} shapes selected
} ``` ### track The `track` higher-order component automatically tracks signal access during render: ```tsx import { track } from '@tldraw/state-react' const Counter = track(function Counter() { return
Count: {count.get()}
}) ``` Tracked components re-render when any signal accessed during render changes. This is the pattern used throughout tldraw's internal components. The component is also wrapped in `React.memo`, so it only re-renders when props change or tracked signals update. ### useAtom and useComputed Create component-local signals that persist across renders. Reading `.get()` during render only subscribes the component if it's wrapped in `track` (otherwise read the value with `useValue`), so wrap the component: ```tsx import { track, useAtom, useComputed } from '@tldraw/state-react' const Counter = track(function Counter() { const count = useAtom('count', 0) const doubled = useComputed('doubled', () => count.get() * 2, [count]) return (
Count: {count.get()}
Doubled: {doubled.get()}
) }) ``` ### useReactor and useQuickReactor Run effects tied to component lifecycle. The effect automatically tracks which signals it reads: ```tsx import { useReactor, useQuickReactor } from '@tldraw/state-react' function SelectionLogger({ editor }) { // Throttled to next animation frame — good for DOM updates useReactor( 'update title', () => { const count = editor.getSelectedShapeIds().length document.title = `${count} shapes selected` }, [editor] ) // Runs immediately — for critical state synchronization useQuickReactor( 'sync selection', () => { syncSelectionToServer(editor.getSelectedShapeIds()) }, [editor] ) return null } ``` ### useStateTracking Lower-level hook for manual tracking. This is what `track` uses internally: ```tsx import { useStateTracking } from '@tldraw/state-react' function CustomComponent() { return useStateTracking('CustomComponent', () => { return
{someSignal.get()}
}) } ``` ## Signals in the editor The editor uses signals extensively. Most getter methods return reactive values: ```tsx function SelectionInfo({ editor }) { const selectedShapes = useValue('shapes', () => editor.getSelectedShapes(), [editor]) const currentPage = useValue('page', () => editor.getCurrentPage(), [editor]) const zoomLevel = useValue('zoom', () => editor.getZoomLevel(), [editor]) return (
Page: {currentPage.name}
Zoom: {Math.round(zoomLevel * 100)}%
{selectedShapes.length} shapes selected
) } ``` You can use `track` for cleaner syntax when accessing many signals: ```tsx const SelectionInfo = track(function SelectionInfo({ editor }) { const shapes = editor.getSelectedShapes() const page = editor.getCurrentPage() const zoom = editor.getZoomLevel() return (
Page: {page.name}
Zoom: {Math.round(zoom * 100)}%
{shapes.length} shapes selected
) }) ``` ## Debugging The `whyAmIRunning` function helps trace what triggered an update. Call it inside an effect or computed to see which signals changed: ```ts import { atom, react, whyAmIRunning } from '@tldraw/state' const name = atom('name', 'Bob') react('greeting', () => { whyAmIRunning() console.log('Hello', name.get()) }) name.set('Alice') // Console output: // Effect(greeting) is executing because: // ↳ Atom(name) changed ``` For nested dependencies, the output shows the full chain: ```ts const firstName = atom('firstName', 'Jane') const lastName = atom('lastName', 'Doe') const fullName = computed('fullName', () => `${firstName.get()} ${lastName.get()}`) react('log name', () => { whyAmIRunning() console.log(fullName.get()) }) firstName.set('John') // Console output: // Effect(log name) is executing because: // ↳ Computed(fullName) changed // ↳ Atom(firstName) changed ``` All signals have a `name` property (the first argument when creating them) that appears in debug output. ## Reading without tracking Sometimes you want to read a signal's value without creating a dependency. Use `unsafe__withoutCapture` to read signals without triggering re-runs: ```ts import { atom, react, unsafe__withoutCapture } from '@tldraw/state' const name = atom('name', 'Sam') const time = atom('time', Date.now()) // Update time every second setInterval(() => time.set(Date.now()), 1000) react('log name changes', () => { // Only re-run when name changes, not when time changes const currentTime = unsafe__withoutCapture(() => time.get()) console.log(name.get(), 'was changed at', currentTime) }) ``` ## API reference ### @tldraw/state | Export | Description | | ------------------------------------ | -------------------------------------------------------------- | | `atom(name, value, options)` | Create a mutable signal | | `computed(name, fn, options)` | Create a derived signal | | `@computed` | Decorator for computed class methods | | `react(name, fn, options)` | Run an effect immediately, returns cleanup function | | `reactor(name, fn, options)` | Create a controllable effect with `start()` and `stop()` | | `transact(fn)` | Batch changes into a single update | | `transaction(fn)` | Batch changes with rollback support | | `isAtom(value)` | Type guard for atoms | | `isSignal(value)` | Type guard for any signal | | `getComputedInstance(o, p)` | Get the underlying computed for a `@computed` decorated method | | `whyAmIRunning()` | Debug helper to trace update triggers | | `unsafe__withoutCapture(fn)` | Read signals without creating dependencies | | `RESET_VALUE` | Symbol returned by `getDiffSince` when history is insufficient | | `isUninitialized(value)` | Check if a computed is running its first derivation | | `withDiff(value, diff)` | Manually provide a diff when returning from a computed | | `localStorageAtom(name, v, options)` | Returns `[atom, cleanup]` tuple; atom persists to localStorage | ### @tldraw/state-react | Export | Description | | ---------------------------------- | ------------------------------------------- | | `useValue(signal)` | Subscribe to a signal, returns its value | | `useValue(name, fn, deps)` | Compute and subscribe to a derived value | | `useAtom(name, initialValue)` | Create a component-local atom | | `useComputed(name, fn, deps)` | Create a component-local computed | | `useReactor(name, fn, deps)` | Effect throttled to animation frames | | `useQuickReactor(name, fn, deps)` | Effect that runs immediately | | `useStateTracking(name, renderFn)` | Manual signal tracking for render functions | | `track(Component)` | HOC that tracks signal access during render | ## Related examples - [Signals](/examples/events/signals) - Subscribing to store values and running side effects with `track`, `useValue`, and `useReactor`. - [Reactive inputs](/examples/editor-api/reactive-inputs) - Using `useValue` with editor input state.