docs: improve SEO metadata across docs pages
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title: Persistent Eliza Characters
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description: "Bring persistent personality to Eliza OS agents using Mem0."
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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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title: "Gemini 3 with Mem0 MCP"
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description: "Create snappy, smart, memory-aware agents by pairing Gemini 3 with Mem0 MCP server."
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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
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description: "Share a persistent memory layer across collaborating LlamaIndex agents."
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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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title: ReAct Agents with Memory
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description: "Teach a ReAct agent to store and recall context via Mem0."
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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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title: Visual Memory Retrieval
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description: "Store and recall visual context alongside text conversations."
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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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