[pull] main from supermemoryai:main

apps/browser-extension/entrypoints/content/chatgpt.ts

@@ -209,7 +209,6 @@ function addSupermemoryButtonToMemoriesDialog() {
 
 	if (memoriesDialog.querySelector("#supermemory-save-button")) return
 
-
 	const deleteAllContainer = memoriesDialog.querySelector(
 		".flex.items-center.gap-0\\.5",
 	)

apps/browser-extension/entrypoints/content/selection-search.ts

@@ -4,7 +4,7 @@ import { ELEMENT_IDS, MESSAGE_TYPES, UI_CONFIG } from "../../utils/constants"
 let currentQuery = ""
 let fabElement: HTMLElement | null = null
 let panelElement: HTMLElement | null = null
-let selectedResults: Set<number> = new Set()
+const selectedResults: Set<number> = new Set()
 
 /**
  * Get the selection rectangle for positioning the FAB

apps/browser-extension/entrypoints/content/shared.ts

@@ -117,7 +117,10 @@ export function setupStorageListener() {
 			}
 
 			try {
-				await Promise.all([bearerToken.setValue(token), userData.setValue(user)])
+				await Promise.all([
+					bearerToken.setValue(token),
+					userData.setValue(user),
+				])
 			} catch {
 				// Do nothing
 			}

apps/browser-extension/entrypoints/content/twitter.ts

@@ -257,17 +257,20 @@ async function showOnboardingToast() {
 	const icon = document.createElement("img")
 	icon.src = iconUrl
 	icon.alt = "Supermemory"
-	icon.style.cssText = "width: 24px; height: 24px; border-radius: 4px; flex-shrink: 0; margin-top: 2px;"
+	icon.style.cssText =
+		"width: 24px; height: 24px; border-radius: 4px; flex-shrink: 0; margin-top: 2px;"
 
 	const textContainer = document.createElement("div")
-	textContainer.style.cssText = "display: flex; flex-direction: column; gap: 4px; flex: 1;"
+	textContainer.style.cssText =
+		"display: flex; flex-direction: column; gap: 4px; flex: 1;"
 
 	const title = document.createElement("span")
 	title.style.cssText = "font-weight: 600; font-size: 14px; color: #111827;"
 	title.textContent = "Import X/Twitter Bookmarks"
 
 	const description = document.createElement("span")
-	description.style.cssText = "font-size: 13px; color: #6b7280; line-height: 1.4;"
+	description.style.cssText =
+		"font-size: 13px; color: #6b7280; line-height: 1.4;"
 	description.textContent =
 		"You can import all your Twitter bookmarks to Supermemory with one click."
 
@@ -362,10 +365,7 @@ async function showOnboardingToast() {
 		learnMoreButton.style.backgroundColor = "transparent"
 	})
 	learnMoreButton.addEventListener("click", () => {
-		window.open(
-			"https://docs.supermemory.ai/connectors/twitter",
-			"_blank",
-		)
+		window.open("https://docs.supermemory.ai/connectors/twitter", "_blank")
 	})
 
 	buttonsContainer.appendChild(importButton)
@@ -377,7 +377,10 @@ async function showOnboardingToast() {
 	progressBarContainer.setAttribute("aria-valuemin", "0")
 	progressBarContainer.setAttribute("aria-valuemax", "100")
 	progressBarContainer.setAttribute("aria-valuenow", "0")
-	progressBarContainer.setAttribute("aria-label", "Onboarding toast auto-dismiss progress")
+	progressBarContainer.setAttribute(
+		"aria-label",
+		"Onboarding toast auto-dismiss progress",
+	)
 	progressBarContainer.style.cssText = `
 		position: absolute;
 		bottom: 0;
@@ -394,7 +397,7 @@ async function showOnboardingToast() {
 		transform-origin: left;
 		animation: smProgressGrow ${duration}ms linear forwards;
 	`
-	
+
 	// Update progress bar ARIA value as animation progresses
 	const startTime = Date.now()
 	const updateProgress = () => {

apps/browser-extension/utils/api.ts

@@ -114,7 +114,10 @@ export async function validateAuthToken(): Promise<boolean> {
 /**
  * Get user data from storage
  */
-export async function getUserData(): Promise<{ email?: string; name?: string } | null> {
+export async function getUserData(): Promise<{
+	email?: string
+	name?: string
+} | null> {
 	try {
 		return (await userData.getValue()) || null
 	} catch (error) {

apps/browser-extension/utils/constants.ts

@@ -33,7 +33,8 @@ export const ELEMENT_IDS = {
  */
 export const STORAGE_KEYS = {
 	TWITTER_BOOKMARKS_ONBOARDING_SEEN: "sm_twitter_bookmarks_onboarding_seen",
-	TWITTER_BOOKMARKS_IMPORT_INTENT_UNTIL: "sm_twitter_bookmarks_import_intent_until",
+	TWITTER_BOOKMARKS_IMPORT_INTENT_UNTIL:
+		"sm_twitter_bookmarks_import_intent_until",
 } as const
 
 /**

apps/browser-extension/utils/storage.ts

@@ -2,7 +2,7 @@
  * Centralized storage layer using WXT's built-in storage API
  */
 
-import { storage } from '#imports';
+import { storage } from "#imports"
 import type { Project } from "./types"
 
 /**
@@ -118,4 +118,3 @@ export async function getTokensLogged(): Promise<boolean> {
 export async function setTokensLogged(): Promise<void> {
 	await tokensLogged.setValue(true)
 }
-

apps/docs/integrations/pipecat.mdx

@@ -28,7 +28,8 @@ You can obtain an API key from [console.supermemory.ai](https://console.supermem
 Supermemory integration is provided through the `SupermemoryPipecatService` class in Pipecat:
 
 ```python
-from supermemory_pipecat import SupermemoryPipecatService, InputParams
+from supermemory_pipecat import SupermemoryPipecatService
+from supermemory_pipecat.service import InputParams
 
 memory = SupermemoryPipecatService(
     api_key=os.getenv("SUPERMEMORY_API_KEY"),
@@ -78,11 +79,11 @@ Retrieved memories are formatted and injected into the LLM context before genera
 
 ## Memory Modes
 
-| Mode | Static Profile | Dynamic Profile | Search Results | Use Case |
-|------|----------------|-----------------|----------------|----------|
-| `"profile"` | Yes | Yes | No | Personalization without search |
-| `"query"` | No | No | Yes | Finding relevant past context |
-| `"full"` | Yes | Yes | Yes | Complete memory (default) |
+| Mode        | Static Profile | Dynamic Profile | Search Results | Use Case                       |
+| ----------- | -------------- | --------------- | -------------- | ------------------------------ |
+| `"profile"` | Yes            | Yes             | No             | Personalization without search |
+| `"query"`   | No             | No              | Yes            | Finding relevant past context  |
+| `"full"`    | Yes            | Yes             | Yes            | Complete memory (default)      |
 
 ## Configuration Options
 
@@ -96,15 +97,41 @@ InputParams(
     search_limit=10,           # Max memories to retrieve (default: 10)
     search_threshold=0.1,      # Similarity threshold 0.0-1.0 (default: 0.1)
     system_prompt="Based on previous conversations:\n\n",
+    inject_mode="auto",        # "auto" | "system" | "user"
 )
 ```
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `search_limit` | int | 10 | Maximum number of memories to retrieve per query |
-| `search_threshold` | float | 0.1 | Minimum similarity threshold for memory retrieval |
-| `mode` | str | "full" | Memory retrieval mode: `"profile"`, `"query"`, or `"full"` |
-| `system_prompt` | str | "Based on previous conversations:\n\n" | Prefix text for memory context |
+| Parameter          | Type  | Default                                | Description                                                  |
+| ------------------ | ----- | -------------------------------------- | ------------------------------------------------------------ |
+| `search_limit`     | int   | 10                                     | Maximum number of memories to retrieve per query             |
+| `search_threshold` | float | 0.1                                    | Minimum similarity threshold for memory retrieval            |
+| `mode`             | str   | "full"                                 | Memory retrieval mode: `"profile"`, `"query"`, or `"full"`   |
+| `system_prompt`    | str   | "Based on previous conversations:\n\n" | Prefix text for memory context                               |
+| `inject_mode`      | str   | "auto"                                 | How memories are injected: `"auto"`, `"system"`, or `"user"` |
+
+## Injection Modes
+
+The `inject_mode` parameter controls how memories are added to the LLM context:
+
+| Mode       | Behavior                                                                                                                                                                |
+| ---------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `"auto"`   | **Auto-detects** based on frame types. If audio frames detected → injects to system prompt (speech-to-speech). If only text frames → injects as user message (STT/TTS). |
+| `"system"` | Always injects memories into the system prompt                                                                                                                          |
+| `"user"`   | Always injects memories as a user message                                                                                                                               |
+
+## Speech-to-Speech Models (Gemini Live, etc.)
+
+For speech-to-speech models like Gemini Live, the SDK **automatically detects** audio frames and injects memories into the system prompt. No configuration needed:
+
+```python
+from supermemory_pipecat import SupermemoryPipecatService
+
+# Auto-detection works out of the box
+memory = SupermemoryPipecatService(
+    api_key=os.getenv("SUPERMEMORY_API_KEY"),
+    user_id="unique_user_id",
+)
+```
 
 ## Example: Voice Agent with Memory
 
@@ -130,7 +157,8 @@ from pipecat.transports.websocket.fastapi import (
     FastAPIWebsocketTransport,
 )
 
-from supermemory_pipecat import SupermemoryPipecatService, InputParams
+from supermemory_pipecat import SupermemoryPipecatService
+from supermemory_pipecat.service import InputParams
 
 app = FastAPI()
 
@@ -201,3 +229,15 @@ if __name__ == "__main__":
     import uvicorn
     uvicorn.run(app, host="0.0.0.0", port=8000)
 ```
+
+## Example: Gemini Live with Memory
+
+For a complete example using Gemini Live speech-to-speech with Supermemory, check out the reference implementation:
+
+<Card
+  title="Pipecat Memory Example"
+  icon="github"
+  href="https://github.com/supermemoryai/pipecat-memory"
+>
+  Full working example with Gemini Live, including frontend and backend code.
+</Card>

apps/docs/style.css

@@ -1,5 +1,5 @@
 .dark img[src*="openai.svg"],
 .dark img[src*="pipecat.svg"],
 .dark img[src*="supermemory.svg"] {
-  filter: invert(1);
+	filter: invert(1);
 }