docs: improve SEO metadata across docs pages

2026-08-01 01:30:05 +00:00
parent d06ea1875c
commit 26520d4808
218 changed files with 201 additions and 232 deletions
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 title: Personalized AI Tutor
-description: "Keep student progress and preferences persistent across tutoring sessions."
+description: "Build a Python AI tutor with Mem0 and OpenAI GPT-4 that remembers student progress, learning preferences, and lesson history across every session."
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@@ -1,6 +1,6 @@
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 title: Self-Hosted AI Companion
-description: "Run Mem0 end-to-end on your machine using Ollama-powered LLMs and embedders."
+description: "Run a fully local Mem0 companion with Ollama for both the LLM and embedder, keeping user data on your machine with no cloud API calls required."
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@@ -1,6 +1,6 @@
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 title: Build a Node.js Companion
-description: "Build a JavaScript fitness coach that remembers user goals run after run."
+description: "Ship a Node.js fitness coach powered by Mem0 and OpenAI that remembers user goals, workout history, and preferences run after run in JavaScript."
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@@ -1,6 +1,6 @@
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 title: Interactive Memory Demo
-description: "Spin up the showcase companion app to see Mem0 memories in action."
+description: "Clone the Mem0 showcase companion app to see memory writes, retrievals, and personalized chat responses in an interactive Next.js demo."
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@@ -1,6 +1,6 @@
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 title: Smart Travel Assistant
-description: "Plan itineraries that remember traveler preferences across trips."
+description: "Design a Python travel assistant with Mem0 and GPT-4 that recalls destinations, budgets, and traveler preferences to plan smarter itineraries."
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@@ -1,6 +1,6 @@
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 title: Voice-First AI Companion
-description: "Pair the OpenAI Agents SDK with Mem0 to build a voice assistant that remembers."
+description: "Combine the OpenAI Agents SDK voice pipeline with Mem0 to build a Python voice assistant that remembers user preferences across spoken sessions."
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@@ -1,6 +1,6 @@
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 title: Research Assistant for YouTube
-description: "Layer personalized context over any video using the Mem0 YouTube assistant."
+description: "Install the Mem0 YouTube Chrome extension to chat about any video with personal context, layering AI answers over the native YouTube player."
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@@ -1,6 +1,6 @@
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 title: Build a Companion with Mem0
-description: "Spin up a fitness coach that remembers goals, adapts tone, and keeps sessions personal."
+description: "Learn the full Mem0 memory lifecycle by building a stateful fitness companion that stores goals, adapts tone, and personalizes every chat reply."
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@@ -1,6 +1,6 @@
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 title: Control Memory Ingestion
-description: "Filter speculation, enforce formats, and gate low-confidence data before it persists."
+description: "Use Mem0 filters, format rules, and confidence gates to keep speculation and low-quality data out of your memory store in a medical assistant demo."
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@@ -1,6 +1,6 @@
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 title: Partition Memories by Entity
-description: Keep memories separate by tagging each write and query with user, agent, app, and session identifiers.
+description: Scope Mem0 memories per user, agent, app, or session so a travel service never leaks one traveler's allergies into another customer's booking.
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 Nora runs a travel service. When she stored all memories in one bucket, a recruiter's nut allergy accidentally appeared in a traveler's dinner reservation. Let's fix this by properly separating memories for different users, agents, and applications.
@@ -1,6 +1,6 @@
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 title: Export Stored Memories
-description: "Retrieve, review, and migrate user memories with structured exports."
+description: "Export Mem0 user memories as structured data with the Python client for review, compliance audits, migrations, and downstream analytics workflows."
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@@ -1,6 +1,6 @@
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 title: Tag and Organize Memories
-description: "Let Mem0 auto-categorize support data so teams retrieve the right facts fast."
+description: "Auto-categorize Mem0 memories with custom project categories so support teams retrieve tickets, resolutions, and account facts in one Python call."
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@@ -1,6 +1,6 @@
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 title: Persistent Eliza Characters
-description: "Bring persistent personality to Eliza OS agents using Mem0."
+description: "Give ElizaOS characters long-term memory with Mem0 so your agent keeps personality, backstory, and user context across every conversation and restart."
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@@ -1,6 +1,6 @@
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 title: "Gemini 3 with Mem0 MCP"
-description: "Create snappy, smart, memory-aware agents by pairing Gemini 3 with Mem0 MCP server."
+description: "Connect Google Gemini 3 to the Mem0 cloud MCP server to add memory tools like add_memory and search_memories to any MCP-compatible AI client."
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 Gemini 3, when paired with Mem0's cloud MCP server, works in synergy to create snappy, smart, memory-aware agents.
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 title: Multi-Agent Collaboration
-description: "Share a persistent memory layer across collaborating LlamaIndex agents."
+description: "Coordinate LlamaIndex AgentWorkflow tutors and reviewers over one shared Mem0 memory layer so specialized agents collaborate with the same context."
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@@ -1,6 +1,6 @@
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 title: ReAct Agents with Memory
-description: "Teach a ReAct agent to store and recall context via Mem0."
+description: "Add persistent Mem0 memory to a LlamaIndex ReAct agent so it can reason, call tools, and recall prior interactions across every conversation turn."
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@@ -1,6 +1,6 @@
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 title: Visual Memory Retrieval
-description: "Store and recall visual context alongside text conversations."
+description: "Store, link, and recall images alongside text with Mem0 multimodal memory so agents keep visual context across cross-session conversations."
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 title: Memory-Powered Agent SDK
-description: "Expose Mem0 memories as callable tools inside OpenAI agent workflows."
+description: "Expose Mem0 memory as callable tools inside the OpenAI Agents SDK so Python agents can persist facts and recall them across future conversations."
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@@ -1,6 +1,6 @@
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 title: Bedrock with Persistent Memory
-description: "Pair Mem0 with AWS Bedrock and OpenSearch for a managed stack."
+description: "Configure the mem0ai Python SDK with AWS Bedrock LLMs and OpenSearch Serverless to run a fully managed, persistent agent memory stack on AWS."
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@@ -1,6 +1,6 @@
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 title: Healthcare Coach with ADK
-description: "Guide patients with an assistant that remembers history across ADK sessions."
+description: "Build a Google ADK healthcare coach with Mem0 that remembers symptoms, medical history, and reminders across every patient chat and follow-up session."
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@@ -1,6 +1,6 @@
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 title: Persistent Mastra Agents
-description: "Extend Mastra agents with persistent memories powered by Mem0."
+description: "Add long-term Mem0 memory to Mastra agents through tool-use so your TypeScript agents can save and retrieve user facts across every workflow run."
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@@ -1,6 +1,6 @@
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 title: Memory as OpenAI Tool
-description: "Wire Mem0 memories into OpenAI's inbuilt function-calling flow."
+description: "Wire Mem0 into OpenAI function-calling so JavaScript agents automatically save and search memories through the native OpenAI tools API using Zod schemas."
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@@ -1,6 +1,6 @@
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 title: Search with Personal Context
-description: "Blend Tavily's realtime results with personal context stored in Mem0."
+description: "Blend Tavily realtime web search with Mem0 stored preferences to build a Python search assistant that personalizes results based on past chats."
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@@ -1,6 +1,6 @@
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 title: Content Creation Workflow
-description: "Store voice guidelines once and apply them across every draft."
+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."
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 title: Multi-Session Research Agent
-description: "Run multi-session investigations that remember past findings and preferences."
+description: "Build a personalized deep research agent that reuses Mem0 memories to keep findings, sources, and preferences aligned across multi-session investigations."
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 title: Automated Email Intelligence
-description: "Capture, categorize, and recall inbox threads using persistent memories."
+description: "Turn your inbox into searchable Mem0 memories that categorize threads, surface past conversations, and generate summaries with an OpenAI Python agent."
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 title: Memory-Powered Support Agent
-description: "Build a support assistant that keeps past tickets and resolutions at its fingertips."
+description: "Build a Python customer support agent with Mem0 and OpenAI that recalls past tickets, resolutions, and user context to deliver faster ticket replies."
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 title: Collaborative Task Assistant
-description: "Coordinate multi-user projects with shared memories and roles."
+description: "Coordinate a multi-user task assistant with Mem0 shared project memories, tracking authored messages, roles, and updates across teammates in Python."
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 title: Overview
-description: "Browse cookbook examples and tutorials for building AI applications with Mem0, from companion chatbots to AI agents."
+description: "Browse Mem0 cookbook tutorials for building stateful AI companions, RAG chatbots, and memory-powered agents with OpenAI, LlamaIndex, and more frameworks."
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 With Mem0, you can create stateful LLM-based applications such as chatbots, virtual assistants, or AI agents. Mem0 enhances your applications by providing a memory layer that makes responses: