fix(docs): correct rendered titles and remaining SEO links (#7344)
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@@ -1,7 +1,6 @@
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---
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title: AWS Bedrock
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seo:
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title: "AWS Bedrock Integration with Mem0"
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title: "AWS Bedrock Integration"
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sidebarTitle: "AWS Bedrock"
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description: "Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage."
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---
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@@ -3,7 +3,7 @@ title: Codex
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description: "Add persistent memory to OpenAI Codex with automatic capture, automatic recall, a search tool, and six memory skills."
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---
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Add persistent memory to [**OpenAI Codex**](https://openai.com/index/codex/) with the Mem0 plugin. Codex forgets everything between tasks. This plugin fixes that by connecting to Mem0's cloud memory layer via MCP, automatically capturing learnings at key lifecycle points, and retrieving relevant context on the first prompt of a session. Codex can use the search tool for recall later in the session.
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Add persistent memory to [**OpenAI Codex**](https://openai.com/codex/) with the Mem0 plugin. Codex forgets everything between tasks. This plugin fixes that by connecting to Mem0's cloud memory layer via MCP, automatically capturing learnings at key lifecycle points, and retrieving relevant context on the first prompt of a session. Codex can use the search tool for recall later in the session.
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<Info>Current plugin version: `0.3.1`.</Info>
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@@ -23,7 +23,7 @@ npm install -g flowise
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npx flowise start
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```
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2. Access to the Flowise UI at http://localhost:3000
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2. Access to the Flowise UI at `http://localhost:3000`
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3. Basic familiarity with [Flowise's LLM orchestration](https://flowiseai.com/#features) concepts
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## Setup and Configuration
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@@ -1,7 +1,6 @@
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---
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title: Langchain
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seo:
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title: "LangChain Integration with Mem0"
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title: "LangChain Integration"
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sidebarTitle: "Langchain"
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description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention."
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---
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@@ -1,7 +1,6 @@
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---
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title: n8n
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seo:
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title: "n8n Integration with Mem0"
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title: "n8n Integration"
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sidebarTitle: "n8n"
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description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required."
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---
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