chore: merge origin/main into mintlify/af82bda4 and resolve conflicts

docs/cookbooks/operations/content-writing.mdx

@@ -3,6 +3,9 @@ title: Content Creation Workflow
 description: "Store tone rules and style guides once in Mem0, then have OpenAI apply them across drafts so every article matches your writing voice consistently."
 ---
 
+<Info icon="layer-group">
+**Works with:** Mem0 OSS (`Memory`) and Mem0 Platform (`MemoryClient`)
+</Info>
 
 This guide demonstrates how to leverage **Mem0** to streamline content writing by applying your unique writing style and preferences using persistent memory.
 
@@ -357,8 +360,8 @@ Mem0 enables a seamless, intelligent content-writing workflow, perfect for conte
 ---
 
 <CardGroup cols={2}>
-  <Card title="Control Memory Ingestion" icon="filter" href="/cookbooks/essentials/controlling-memory-ingestion">
-    Filter and curate content examples to maintain consistent writing style.
+  <Card title="Custom Instructions" icon="filter" href="/platform/features/custom-instructions">
+    Steer what Mem0 extracts and stores to maintain a consistent writing style.
   </Card>
   <Card title="Email Automation with Mem0" icon="envelope" href="/cookbooks/operations/email-automation">
     Automate email drafting with memory-powered context and tone matching.

docs/cookbooks/operations/deep-research.mdx

@@ -3,11 +3,12 @@ title: Multi-Session Research Agent
 description: "Build a personalized deep research agent that reuses Mem0 memories to keep findings, sources, and preferences aligned across multi-session investigations."
 ---
 
+<Info icon="cloud">
+**Works with:** Mem0 Platform
+</Info>
 
 Deep Research is an intelligent agent that synthesizes large amounts of online data and completes complex research tasks, customized to your unique preferences and insights. Built on Mem0's technology, it enhances AI-driven online exploration with personalized memories.
 
-You can check out the GitHub repository here: [Personalized Deep Research](https://github.com/mem0ai/personalized-deep-research/tree/mem0)
-
 ## Overview
 
 Deep Research leverages Mem0's memory capabilities to:
@@ -61,12 +62,6 @@ Watch Deep Research in action:
 - **Technical Research**: Technology evaluation, solution comparison
 - **Business Research**: Strategic planning, opportunity analysis
 
-## Try It Out
-
-> To try it yourself, clone the repository and follow the instructions in the README to run it locally or deploy it.
-
-- [Personalized Deep Research GitHub](https://github.com/mem0ai/personalized-deep-research/tree/mem0)
-
 ---
 
 <CardGroup cols={2}>

docs/cookbooks/operations/email-automation.mdx

@@ -3,6 +3,9 @@ title: Automated Email Intelligence
 description: "Turn your inbox into searchable Mem0 memories that categorize threads, surface past conversations, and generate summaries with an OpenAI Python agent."
 ---
 
+<Info icon="layer-group">
+**Works with:** Mem0 OSS (`Memory`) and Mem0 Platform (`MemoryClient`)
+</Info>
 
 This guide demonstrates how to build an intelligent email processing system using Mem0's memory capabilities. You'll learn how to store, categorize, retrieve, and analyze emails to create a smart email management solution.
 

docs/cookbooks/operations/support-inbox.mdx

@@ -3,6 +3,9 @@ title: Memory-Powered Support Agent
 description: "Build a Python customer support agent with Mem0 and OpenAI that recalls past tickets, resolutions, and user context to deliver faster ticket replies."
 ---
 
+<Info icon="server">
+**Works with:** Mem0 OSS (`Memory`)
+</Info>
 
 You can create a personalized Customer Support AI Agent using Mem0. This guide will walk you through the necessary steps and provide the complete code to get you started.
 

docs/cookbooks/operations/team-task-agent.mdx

@@ -3,6 +3,9 @@ title: Collaborative Task Assistant
 description: "Coordinate a multi-user task assistant with Mem0 shared project memories, tracking authored messages, roles, and updates across teammates in Python."
 ---
 
+<Info icon="server">
+**Works with:** Mem0 OSS (`Memory`)
+</Info>
 
 ## Overview