chore: merge origin/main into mintlify/af82bda4 and resolve conflicts
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mintlify[bot]
@@ -3,6 +3,9 @@ title: Persistent Eliza Characters
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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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---
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<Info icon="cloud">
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**Works with:** Mem0 Platform
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</Info>
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You can create a personalized Eliza OS Character using Mem0. This guide will walk you through the necessary steps and provide the complete code to get you started.
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@@ -3,6 +3,10 @@ title: "Gemini 3 with Mem0 MCP"
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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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---
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<Info icon="cloud">
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**Works with:** Mem0 Platform (MCP server)
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</Info>
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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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<Callout type="info" icon="sparkles" color="#8B5CF6">
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@@ -55,7 +59,7 @@ GEMINI_API_KEY=your-gemini-api-key-here
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```
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<Note>
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Ensure you have your Mem0 API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-gemini-3" rel="nofollow">Mem0 Dashboard</a> and your Gemini API key from the [Google AI Studio](https://ai.studio/app/api-keys).
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Ensure you have your Mem0 API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-gemini-3">Mem0 Dashboard</a> and your Gemini API key from the [Google AI Studio](https://ai.studio/app/api-keys).
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</Note>
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## Gemini Memory Agent
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@@ -3,6 +3,9 @@ title: Multi-Agent Collaboration
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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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---
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<Info icon="cloud">
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**Works with:** Mem0 Platform (`Mem0Memory.from_client`)
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</Info>
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<Snippet file="blank-notif.mdx" />
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@@ -41,7 +44,7 @@ Set up your environment variables:
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- `MEM0_API_KEY`: Your Mem0 Platform API key
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- `OPENAI_API_KEY`: Your OpenAI API key
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You can obtain your Mem0 Platform API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent" rel="nofollow">Mem0 Platform</a>.
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You can obtain your Mem0 Platform API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent">Mem0 Platform</a>.
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## Complete Implementation
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@@ -357,7 +360,7 @@ Based on our previous session, I remember we covered Vision Language Models and
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## Help & Resources
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- [LlamaIndex Agent Workflows](https://docs.llamaindex.ai/en/stable/use_cases/agents/)
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- <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent" rel="nofollow">Mem0 Platform</a>
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- <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent">Mem0 Platform</a>
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---
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@@ -3,6 +3,9 @@ title: ReAct Agents with Memory
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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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---
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<Info icon="cloud">
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**Works with:** Mem0 Platform (`Mem0Memory.from_client`)
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</Info>
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Create a ReAct Agent with LlamaIndex which uses Mem0 as the memory store.
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@@ -25,7 +28,7 @@ os.environ["OPENAI_API_KEY"] = "<your-openai-api-key>"
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llm = OpenAI(model="gpt-5-mini")
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```
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Initialize the Mem0 client. You can find your API key <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-llamaindex-react" rel="nofollow">here</a>. Read about Mem0 [Open Source](https://docs.mem0.ai/open-source/overview).
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Initialize the Mem0 client. You can find your API key <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-llamaindex-react">here</a>. Read about Mem0 [Open Source](https://docs.mem0.ai/open-source/overview).
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```python
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os.environ["MEM0_API_KEY"] = "<your-mem0-api-key>"
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@@ -78,7 +81,7 @@ from llama_index.core.agent import FunctionCallingAgent
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agent = FunctionCallingAgent.from_tools(
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[call_tool, email_tool, order_food_tool],
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llm=llm,
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memory=memory_from_client, # or memory_from_config
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memory=memory_from_client,
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verbose=True,
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)
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```
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@@ -161,7 +164,7 @@ agent = FunctionCallingAgent.from_tools(
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[call_tool, email_tool, order_food_tool],
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llm=llm,
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# memory is provided
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memory=memory_from_client, # or memory_from_config
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memory=memory_from_client,
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verbose=True,
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)
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response = agent.chat("I am feeling hungry, order me something and send me the bill")
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@@ -3,6 +3,9 @@ title: Visual Memory Retrieval
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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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---
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<Info icon="cloud">
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**Works with:** Mem0 Platform
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</Info>
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Enhance your AI interactions with Mem0's multimodal capabilities. Mem0 now supports image understanding, allowing for richer context and more natural interactions across supported AI platforms.
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