docs: add entity context documentation and fix MDX parsing (supermemoryai#723)

Add entity context documentation to customization and add-memories pages, remove nav icons from Developer Platform, fix install.md parsing error

 Changes:
  - Remove icons from Developer Platform subheadings (Getting Started, Concepts, Using supermemory, Connectors and sync, Migration Guides)
  - Add Entity Context section to customization page with usage example and accordion for advanced API
  - Add entityContext parameter to add-memories Parameters table and examples accordion
  - Fix MDX parsing error in install.md (wrap curly braces in backticks)

Author: Prasanna721

apps/docs/add-memories.mdx

@@ -199,6 +199,7 @@ Upload PDFs, images, and documents directly.
 | `customId` | string | **Recommended.** Your ID for the content (conversation ID, doc ID). Enables updates and deduplication |
 | `containerTag` | string | Group by user/project. Required for user profiles |
 | `metadata` | object | Key-value pairs for filtering (strings, numbers, booleans) |
+| `entityContext` | string | Context for memory extraction on this container tag. Max 1500 chars. See [Customization](/concepts/customization#entity-context) |
 
 <AccordionGroup>
   <Accordion title="Parameter Details & Examples">
@@ -257,6 +258,19 @@ Upload PDFs, images, and documents directly.
     ```
     - No nested objects or arrays
     - Values: string, number, or boolean only
+
+    **Entity Context:**
+    ```typescript
+    // Guide memory extraction for this container tag
+    {
+      containerTag: "session_abc123",
+      entityContext: `Design exploration conversation between john@acme.com and Brand.ai assistant.
+        Focus on John's design preferences and brand requirements.`
+    }
+    ```
+    - Max 1500 characters
+    - Persists on the container tag
+    - Combines with org-level filter prompts
   </Accordion>
 </AccordionGroup>
 

apps/docs/concepts/customization.mdx

@@ -72,6 +72,36 @@ await client.settings.update({
 
 ---
 
+## Entity Context
+
+Guide memory extraction for a specific container tag. Filter prompts are org-wide; entity context is per container.
+
+```typescript
+await client.add({
+  content: "User asked about logo variations for dark backgrounds...",
+  containerTag: "session_abc123",
+  entityContext: `Design exploration conversation between john@acme.com and Brand.ai assistant.
+    Focus on John's design preferences and brand requirements.`
+});
+```
+
+<Accordion title="Update entity context only">
+  Update entity context for a container tag without uploading content.
+
+  ```typescript
+  await client.containerTags.update("session_abc123", {
+    entityContext: `Design exploration conversation between john@acme.com and Brand.ai assistant.
+      Focus on John's design preferences and brand requirements.`
+  });
+  ```
+</Accordion>
+
+<Note>
+Entity context persists on the container tag and combines with org-level filter prompts.
+</Note>
+
+---
+
 ## Chunk Size
 
 Control how documents are split into searchable pieces. Smaller chunks = more precise retrieval but less context per result.

apps/docs/docs.json

@@ -69,12 +69,10 @@
 						"pages": [
 							{
 								"group": "Getting Started",
-								"icon": "rocket",
 								"pages": ["intro", "quickstart", "vibe-coding"]
 							},
 							{
 								"group": "Concepts",
-								"icon": "lightbulb",
 								"pages": [
 									"concepts/how-it-works",
 									"concepts/graph-memory",
@@ -88,7 +86,6 @@
 							},
 							{
 								"group": "Using supermemory",
-								"icon": "brain",
 								"pages": [
 									"add-memories",
 									"search",
@@ -103,7 +100,6 @@
 							},
 							{
 								"group": "Connectors and sync",
-								"icon": "plug",
 								"pages": [
 									"connectors/overview",
 									{
@@ -125,7 +121,6 @@
 							},
 							{
 								"group": "Migration Guides",
-								"icon": "arrow-right-left",
 								"pages": [
 									{
 										"group": "From another provider",

apps/docs/install.md

@@ -28,8 +28,8 @@ You can always reference the documentation by using the **SearchSupermemoryDocs
    - No → Just use search
 
 5. How should I retrieve context?
-   - OPTION A: One call with search included → profile({ containerTag, q: userMessage })
-   - OPTION B: Separate calls → profile() for facts, search() for memories
+   - OPTION A: One call with search included → `profile({ containerTag, q: userMessage })`
+   - OPTION B: Separate calls → `profile()` for facts, `search()` for memories
 
 ## STEP 2: INSTALL