chore: merge origin/main into mintlify/af82bda4 and resolve conflicts
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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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