Docs Update Images (#3072)
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@@ -246,24 +246,23 @@
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"icon": "plug",
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"pages": [
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"integrations",
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"integrations/agentops",
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"integrations/vercel-ai-sdk",
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"integrations/flowise",
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"integrations/crewai",
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"integrations/autogen",
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"integrations/langchain",
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"integrations/langgraph",
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"integrations/llama-index",
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"integrations/langchain-tools",
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"integrations/dify",
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"integrations/mcp-server",
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"integrations/livekit",
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"integrations/elevenlabs",
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"integrations/pipecat",
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"integrations/agno",
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"integrations/autogen",
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"integrations/crewai",
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"integrations/mastra",
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"integrations/vercel-ai-sdk",
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"integrations/livekit",
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"integrations/pipecat",
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"integrations/elevenlabs",
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"integrations/flowise",
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"integrations/langchain-tools",
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"integrations/agentops",
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"integrations/keywords",
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"integrations/raycast",
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"integrations/mastra"
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"integrations/dify",
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"integrations/raycast"
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]
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}
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]
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docs/images/stateless-vs-stateful-agent-2.png
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@@ -20,7 +20,7 @@ Most current agents are stateless: they process a query, generate a response, an
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Stateful agents, powered by Mem0, are different. They retain context, recall what matters, and behave more intelligently over time.
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<Frame caption="Stateless vs Stateful Agent">
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<Frame>
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<img src="../images/stateless-vs-stateful-agent.png" />
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</Frame>
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@@ -29,7 +29,7 @@ Stateful agents, powered by Mem0, are different. They retain context, recall wha
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Mem0 sits alongside your retriever, planner, and LLM. Unlike retrieval-based systems (like RAG), Mem0 tracks past interactions, stores long-term knowledge, and evolves the agent’s behavior.
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<Frame caption="Memory in Agent Architecture">
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<Frame>
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<img src="../images/memory-agent-stack.png" />
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</Frame>
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