diff --git a/libs/aws/langchain_aws/memory/__init__.py b/libs/aws/langchain_aws/memory/__init__.py
new file mode 100644
index 00000000..c05c6835
--- /dev/null
+++ b/libs/aws/langchain_aws/memory/__init__.py
@@ -0,0 +1,13 @@
+"""Memory module for AWS Bedrock Agent Core."""
+
+from langchain_aws.memory.bedrock_agentcore import (
+    create_list_messages_tool,
+    create_search_memory_tool,
+    create_store_messages_tool,
+)
+
+__all__ = [
+    "create_store_messages_tool", 
+    "create_search_memory_tool",
+    "create_list_messages_tool"
+]
\ No newline at end of file
diff --git a/libs/aws/langchain_aws/memory/bedrock_agentcore.py b/libs/aws/langchain_aws/memory/bedrock_agentcore.py
new file mode 100644
index 00000000..7ad250cf
--- /dev/null
+++ b/libs/aws/langchain_aws/memory/bedrock_agentcore.py
@@ -0,0 +1,337 @@
+"""Module for AWS Bedrock Agent Core memory integration.
+
+This module provides integration between LangChain/LangGraph and AWS Bedrock Agent Core
+memory API. It includes a memory store implementation and tools for managing and
+searching memories.
+"""
+
+import json
+import logging
+from typing import List
+
+from bedrock_agentcore.memory import MemoryClient
+from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
+from langchain_core.runnables import RunnableConfig
+from langchain_core.tools import StructuredTool
+
+logger = logging.getLogger(__name__)
+
+
+def create_store_messages_tool(
+    memory_client: MemoryClient,
+    name: str = "store_messages"
+) -> StructuredTool:
+    """Create a tool for storing messages directly with Bedrock Agent Core MemoryClient.
+
+    This tool enables AI assistants to store messages in Bedrock Agent Core.
+    The tool expects the following configuration values to be passed via RunnableConfig:
+    - memory_id: The ID of the memory to store in
+    - actor_id: (optional) The actor ID to use
+    - session_id: (optional) The session ID to use
+
+    Args:
+        memory_client: The MemoryClient instance to use
+        name: The name of the tool
+
+    Returns:
+        A structured tool for storing messages
+    """
+
+    instructions = (
+        "Use this tool to store all messages from the user and AI model. These "
+        "messages are processed to extract summary or facts of the conversation, "
+        "which can be later retrieved using the search_memory tool."
+    )
+
+    def store_messages(
+        messages: List[BaseMessage],
+        config: RunnableConfig,
+    ) -> str:
+        """Stores conversation messages in AWS Bedrock Agent Core Memory.
+
+        Args:
+            messages: List of messages to store
+
+        Returns:
+            A confirmation message.
+        """
+        if not (configurable := config.get("configurable", None)):
+            raise ValueError(
+                "A runtime config containing memory_id, actor_id, and session_id is required."
+            )
+        
+        if not (memory_id := configurable.get("memory_id", None)):
+            raise ValueError(
+                "Missing memory_id in the runtime config."
+            )
+        
+        if not (session_id := configurable.get("session_id", None)):
+            raise ValueError(
+                "Missing session_id in the runtime config."
+            )
+        
+        if not (actor_id := configurable.get("actor_id", None)):
+            raise ValueError(
+                "Missing actor_id in the runtime config."
+            )
+            
+        # Convert BaseMessage list to list of (text, role) tuples
+        # TODO: This should correctly convert to 
+        converted_messages = []
+        for msg in messages:
+            
+            # Skip if event already saved
+            if msg.additional_kwargs.get("event_id", None) is not None:
+                continue
+
+            # Extract text content
+            content = msg.content
+            if isinstance(content, str):
+                text = content
+            elif isinstance(content, dict) and content['type'] == 'text':
+                text = content['text']
+            else:
+                continue
+            
+            # Map LangChain roles to Bedrock Agent Core roles
+            # Available roles in Bedrock: USER, ASSISTANT, TOOL
+            if msg.type == "human":
+                role = "USER"
+            elif msg.type == "ai":
+                role = "ASSISTANT"
+            elif msg.type == "tool":
+                role = "TOOL"
+            else:
+                continue  # Skip unsupported message types
+            
+            converted_messages.append((text, role))
+        
+        # Create event with converted messages directly using the MemoryClient
+        response = memory_client.create_event(
+            memory_id=memory_id,
+            actor_id=actor_id,
+            session_id=session_id,
+            messages=converted_messages
+        )
+        
+        return f"Memory created with ID: {response.get('eventId')}"
+
+    # Create a StructuredTool with the custom name
+    return StructuredTool.from_function(
+        func=store_messages, name=name, description=instructions
+    )
+
+
+def create_list_messages_tool(
+    memory_client: MemoryClient,
+    name: str = "list_messages",
+) -> StructuredTool:
+    """Create a tool for listing conversation messages from Bedrock Agent Core Memory.
+
+    This tool allows AI assistants to retrieve the message history from a conversation
+    stored in Bedrock Agent Core Memory.
+    
+    The tool expects the following configuration values to be passed via RunnableConfig:
+    - memory_id: The ID of the memory to retrieve from (required)
+    - actor_id: The actor ID to use (required)
+    - session_id: The session ID to use (required)
+
+    Args:
+        memory_client: The MemoryClient instance to use
+        name: The name of the tool
+
+    Returns:
+        A structured tool for listing conversation messages
+    """
+
+    instructions = (
+        "Use this tool to retrieve the conversation history from memory. "
+        "This can help in understanding the context of the current conversation, "
+        "or reviewing past interactions."
+    )
+
+    def list_messages(
+        max_results: int = 100,
+        config: RunnableConfig = None,
+    ) -> List[BaseMessage]:
+        """List conversation messages from AWS Bedrock Agent Core Memory.
+
+        Args:
+            max_results: Maximum number of messages to return
+            config: RunnableConfig containing memory_id, actor_id, and session_id
+
+        Returns:
+            A list of LangChain message objects (HumanMessage, AIMessage, ToolMessage)
+        """
+        if not (configurable := config.get("configurable", None)):
+            raise ValueError(
+                "A runtime config with memory_id, actor_id, and session_id is required"
+                " for list_messages tool."
+            )
+        
+        if not (memory_id := configurable.get("memory_id", None)):
+            raise ValueError(
+                "Missing memory_id in the runtime config."
+            )
+            
+        if not (actor_id := configurable.get("actor_id", None)):
+            raise ValueError(
+                "Missing actor_id in the runtime config."
+            )
+            
+        if not (session_id := configurable.get("session_id", None)):
+            raise ValueError(
+                "Missing session_id in the runtime config."
+            )
+        
+        events = memory_client.list_events(
+            memory_id=memory_id,
+            actor_id=actor_id,
+            session_id=session_id,
+            max_results=max_results,
+            include_payload=True
+        )
+        
+        # Extract and format messages as LangChain message objects
+        messages = []
+        for event in events:
+            # Extract messages from event payload
+            if "payload" in event:
+                for payload_item in event.get("payload", []):
+                    if "conversational" in payload_item:
+                        conv = payload_item["conversational"]
+                        role = conv.get("role", "")
+                        content = conv.get("content", {}).get("text", "")
+                        
+                        # Convert to appropriate LangChain message type based on role
+                        if role == "USER":
+                            message = HumanMessage(content=content)
+                        elif role == "ASSISTANT":
+                            message = AIMessage(content=content)
+                        elif role == "TOOL":
+                            #message = ToolMessage(content=content, tool_call_id="unknown")
+                            # skipping tool events as tool_call_id etc. will be missing
+                            continue
+                        else:
+                            # Skip unknown message types
+                            continue
+                            
+                        # Add metadata if available
+                        if "eventId" in event:
+                            message.additional_kwargs["event_id"] = event["eventId"]
+                        if "eventTimestamp" in event:
+                            pass
+                            # Skip this, this currently not serialized correctly
+                            # message.additional_kwargs["timestamp"] = event["eventTimestamp"]
+                            
+                        messages.append(message)
+        
+        return messages
+
+    # Create a StructuredTool with the custom name
+    return StructuredTool.from_function(
+        func=list_messages, name=name, description=instructions
+    )
+
+
+def create_search_memory_tool(
+    memory_client: MemoryClient,
+    name: str = "search_memory",
+) -> StructuredTool:
+    """Create a tool for searching memories in AWS Bedrock Agent Core.
+
+    This tool allows AI assistants to search through stored memories in AWS
+    Bedrock Agent Core using semantic search.
+    
+    The tool expects the following configuration values to be passed via RunnableConfig:
+    - memory_id: The ID of the memory to search in (required)
+    - namespace: The namespace to search in (required)
+
+    Args:
+        memory_client: The MemoryClient instance to use
+        name: The name of the tool
+
+    Returns:
+        A structured tool for searching memories.
+    """
+
+    instructions = (
+        "Use this tool to search for helpful facts and preferences from the past "
+        "conversations. Based on the namespace and configured memories, this will "
+        "provide summaries, user preferences or semantic search for the session."
+    )
+
+    def search_memory(
+        query: str,
+        limit: int = 3,
+        config: RunnableConfig = None,
+    ) -> str:
+        """Search for memories in AWS Bedrock Agent Core.
+
+        Args:
+            query: The search query to find relevant memories.
+            limit: Maximum number of results to return.
+
+        Returns:
+            A string representation of the search results.
+        """
+        if not (configurable := config.get("configurable", None)):
+            raise ValueError(
+                "A runtime config with memory_id, namespace, and actor_id is required."
+            )
+        
+        if not (memory_id := configurable.get("memory_id", None)):
+            raise ValueError(
+                "Missing memory_id in the runtime config."
+            )
+            
+        # Namespace is required
+        if not (namespace_val := configurable.get("namespace", None)):
+            raise ValueError(
+                "Missing namespace in the runtime config."
+            )
+            
+        # Format the namespace
+        if isinstance(namespace_val, tuple):
+            # Join tuple elements with '/'
+            namespace_str = "/" + "/".join(namespace_val)
+        elif isinstance(namespace_val, str):
+            # Ensure string starts with '/'
+            namespace_str = namespace_val if namespace_val.startswith("/") else f"/{namespace_val}"
+        else:
+            raise ValueError(
+                f"Namespace must be a string or tuple, got {type(namespace_val)}"
+            )
+                
+        # Perform the search directly using the MemoryClient
+        memories = memory_client.retrieve_memories(
+            memory_id=memory_id,
+            namespace=namespace_str,
+            query=query,
+            top_k=limit,
+        )
+
+        # Process and format results
+        results = []
+        for item in memories:
+            # Extract content from the memory item
+            content = item.get("content", {}).get("text", "")
+
+            # Try to parse JSON content if it looks like JSON
+            if content and content.startswith("{") and content.endswith("}"):
+                try:
+                    content = json.loads(content)
+                except json.JSONDecodeError:
+                    pass
+
+            results.append(content)
+
+        return results
+        
+
+    # Create a StructuredTool with the custom name
+    return StructuredTool.from_function(
+        func=search_memory,
+        name=name,
+        description=instructions
+    )
diff --git a/samples/memory/bedrock-memory-with-hooks.ipynb b/samples/memory/bedrock-memory-with-hooks.ipynb
new file mode 100644
index 00000000..0b90687d
--- /dev/null
+++ b/samples/memory/bedrock-memory-with-hooks.ipynb
@@ -0,0 +1,597 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "9eb8d74d-b7c3-48b5-ad2b-05b2c5804221",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langgraph.prebuilt import create_react_agent\n",
+    "\n",
+    "from langchain_aws.memory import (\n",
+    "    create_store_messages_tool,\n",
+    "    create_search_memory_tool,\n",
+    "    create_list_messages_tool\n",
+    ")\n",
+    "from bedrock_agentcore.memory import MemoryClient"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "884a3186-eaca-4b5c-ae15-d74a1fc3b15f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "REGION = \"us-east-1\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "5de1cd58-626e-4aec-be5c-fefde2f5f36d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "memory_client = MemoryClient(region_name=REGION)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bfcc8118-046e-4c2a-b6b5-b41e91128eb5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "create_response = memory_client.create_memory_and_wait(\n",
+    "    name=\"CustomerSupportAgentMemory\",\n",
+    "    strategies=[{\n",
+    "        \"summaryMemoryStrategy\": {\n",
+    "            \"name\": \"SessionSummarizer\",\n",
+    "            \"namespaces\": [\"/summaries/{actorId}/{sessionId}\"]\n",
+    "        }\n",
+    "    }]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "40c159db-0e86-4a42-925e-809b07d1cb46",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "MEMORY_ID = create_response[\"id\"]\n",
+    "ACTOR_ID = \"User4\"\n",
+    "SESSION_ID = \"OrderSupportSession4\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3d5eab54-af4c-47dc-b7c1-7897ef085f21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create memory management tool\n",
+    "store_messages_tool = create_store_messages_tool(\n",
+    "    memory_client=memory_client\n",
+    ")\n",
+    "\n",
+    "# Create memory search tool\n",
+    "search_memory_tool = create_search_memory_tool(\n",
+    "    memory_client=memory_client\n",
+    ")\n",
+    "\n",
+    "# Create the list messages tool\n",
+    "list_messages_tool = create_list_messages_tool(\n",
+    "    memory_client=memory_client\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f37264b8-050e-40e5-91a2-2cbc06155793",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_core.tools import tool\n",
+    "\n",
+    "@tool\n",
+    "def lookup_order(order_id: str) -> str:\n",
+    "    \"\"\"Returns the order status\"\"\"\n",
+    "    return f\"Customer order {order_id} was shipped 3 days ago, with an expected delivery tomorrow before 5pm\"\n",
+    "\n",
+    "@tool\n",
+    "def update_customer_email(email: str):\n",
+    "    \"\"\"Updates customer's email address\"\"\"\n",
+    "    return f\"Customer's email updated to {email}\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "47cc0beb-0a3b-4e43-998d-2dae590e4f0f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langgraph.checkpoint.memory import InMemorySaver\n",
+    "from langchain_core.messages import HumanMessage, SystemMessage\n",
+    "\n",
+    "llm_model = \"bedrock_converse:us.anthropic.claude-3-5-haiku-20241022-v1:0\"\n",
+    "prompt_template = \"You are a customer service assistant. Here is the conversation context: {summary}\"\n",
+    "\n",
+    "def pre_model_hook(state):\n",
+    "    messages = state[\"messages\"]\n",
+    "\n",
+    "    # Get summary or other long term memories\n",
+    "    last_message = messages[-1]\n",
+    "    summary = \"\"\n",
+    "    if isinstance(last_message, HumanMessage):\n",
+    "        memories = search_memory_tool.invoke({\n",
+    "            \"query\": last_message.content\n",
+    "        })\n",
+    "        if len(memories) > 0:\n",
+    "            summary = memories[0]\n",
+    "\n",
+    "    # Get previous conversations, trimming to last 2\n",
+    "    previous_messages = list_messages_tool.invoke({\"max_results\": 2}, config=config)\n",
+    "    previous_messages.reverse()\n",
+    "\n",
+    "    # System message, that will have the long\n",
+    "    # term memory context\n",
+    "    system_message = SystemMessage(\n",
+    "        content=prompt_template.format(summary=summary)\n",
+    "    )\n",
+    "\n",
+    "    messages = [system_message] + previous_messages + messages\n",
+    "\n",
+    "    return {\n",
+    "        \"llm_input_messages\": messages\n",
+    "    }\n",
+    "\n",
+    "def post_model_hook(state):\n",
+    "    store_messages_tool.invoke({\n",
+    "        \"messages\": state[\"messages\"]\n",
+    "    })\n",
+    "\n",
+    "agent = create_react_agent(\n",
+    "    llm_model,\n",
+    "    tools=[lookup_order, update_customer_email],\n",
+    "    pre_model_hook=pre_model_hook,\n",
+    "    post_model_hook=post_model_hook\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "8f587a32-70c3-423b-9787-a6295dca976b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "config = {\n",
+    "    \"configurable\": {\n",
+    "        \"memory_id\": MEMORY_ID,\n",
+    "        \"session_id\": SESSION_ID,\n",
+    "        \"actor_id\": ACTOR_ID,\n",
+    "        \"namespace\": f\"/summaries/{ACTOR_ID}/{SESSION_ID}\"\n",
+    "    }\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "fbeed506-596c-44d4-8f6a-701f6229263a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def list_events():\n",
+    "    events = memory_client.list_events(memory_id=MEMORY_ID, session_id=SESSION_ID, actor_id=ACTOR_ID)\n",
+    "    for event in events:\n",
+    "        print(f\"\\n================================ Event Id: {event['eventId']} =================================\\n\")\n",
+    "        for payload in event['payload']:\n",
+    "            print(f\"================================ {payload['conversational']['role']} =================================\")\n",
+    "            print(payload['conversational']['content']['text'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "4beeb2c2-c884-4025-88b9-ca433de0aba8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[{'type': 'text', 'text': \"Let me help you check the status of your order. I'll look up the details for order #12345 right away.\"}, {'type': 'tool_use', 'name': 'lookup_order', 'input': {'order_id': '12345'}, 'id': 'tooluse_beyZ90h7TPGdwIMjqYK6Xw'}]\n",
+      "Tool Calls:\n",
+      "  lookup_order (tooluse_beyZ90h7TPGdwIMjqYK6Xw)\n",
+      " Call ID: tooluse_beyZ90h7TPGdwIMjqYK6Xw\n",
+      "  Args:\n",
+      "    order_id: 12345\n",
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: lookup_order\n",
+      "\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "I see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that's causing you concern? I'd be happy to help you further or provide more information about the shipment.\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"Hi, I'm having trouble with my order #12345\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "ead49358-8680-4384-a3f7-0789d6105123",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753926824000#46374f3d =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ TOOL =================================\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "================================ ASSISTANT =================================\n",
+      "I see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that's causing you concern? I'd be happy to help you further or provide more information about the shipment.\n",
+      "\n",
+      "================================ Event Id: 0000001753926822000#47403cb4 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "b0352a95-f134-4020-8523-73296bc4dcc8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "Actually, before that - I also want to change my email address\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "I'll help you with updating your email address first, and then we'll check the status of your order.\n",
+      "\n",
+      "Could you please provide me with the new email address you'd like to use?\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"Actually, before that - I also want to change my email address\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "0ac0c169-f47d-49c6-b711-83b28a7e74e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753926839000#d5052028 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Actually, before that - I also want to change my email address\n",
+      "================================ ASSISTANT =================================\n",
+      "I'll help you with updating your email address first, and then we'll check the status of your order.\n",
+      "\n",
+      "Could you please provide me with the new email address you'd like to use?\n",
+      "\n",
+      "================================ Event Id: 0000001753926824000#46374f3d =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ TOOL =================================\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "================================ ASSISTANT =================================\n",
+      "I see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that's causing you concern? I'd be happy to help you further or provide more information about the shipment.\n",
+      "\n",
+      "================================ Event Id: 0000001753926822000#47403cb4 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "3492a73c-74d8-4abe-b787-b7944b8ca235",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "myemail@example.com\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[{'type': 'text', 'text': \"I'll help you update your email address right away.\"}, {'type': 'tool_use', 'name': 'update_customer_email', 'input': {'email': 'myemail@example.com'}, 'id': 'tooluse_UEBGmgAQTR28Mobm7THbgw'}]\n",
+      "Tool Calls:\n",
+      "  update_customer_email (tooluse_UEBGmgAQTR28Mobm7THbgw)\n",
+      " Call ID: tooluse_UEBGmgAQTR28Mobm7THbgw\n",
+      "  Args:\n",
+      "    email: myemail@example.com\n",
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: update_customer_email\n",
+      "\n",
+      "Customer's email updated to myemail@example.com\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "Your email address has been successfully updated to myemail@example.com. \n",
+      "\n",
+      "Is there anything else I can help you with today? Would you like to check the status of an order?\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"myemail@example.com\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "5aefe00e-3978-4a6a-b88c-6663e59d1ee2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753926858000#eed1ac65 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "myemail@example.com\n",
+      "================================ TOOL =================================\n",
+      "Customer's email updated to myemail@example.com\n",
+      "================================ ASSISTANT =================================\n",
+      "Your email address has been successfully updated to myemail@example.com. \n",
+      "\n",
+      "Is there anything else I can help you with today? Would you like to check the status of an order?\n",
+      "\n",
+      "================================ Event Id: 0000001753926857000#e22d00a2 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "myemail@example.com\n",
+      "\n",
+      "================================ Event Id: 0000001753926839000#d5052028 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Actually, before that - I also want to change my email address\n",
+      "================================ ASSISTANT =================================\n",
+      "I'll help you with updating your email address first, and then we'll check the status of your order.\n",
+      "\n",
+      "Could you please provide me with the new email address you'd like to use?\n",
+      "\n",
+      "================================ Event Id: 0000001753926824000#46374f3d =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ TOOL =================================\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "================================ ASSISTANT =================================\n",
+      "I see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that's causing you concern? I'd be happy to help you further or provide more information about the shipment.\n",
+      "\n",
+      "================================ Event Id: 0000001753926822000#47403cb4 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "17756a30-5e31-4ef6-9453-0b5c3135058d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "The package already arrived, but seems damaged\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[{'type': 'text', 'text': 'I apologize to hear that the package arrived damaged. Let me help you verify the order details first.'}, {'type': 'tool_use', 'name': 'lookup_order', 'input': {'order_id': '12345'}, 'id': 'tooluse_ryehEI-SRd2ckquOtKs0MA'}]\n",
+      "Tool Calls:\n",
+      "  lookup_order (tooluse_ryehEI-SRd2ckquOtKs0MA)\n",
+      " Call ID: tooluse_ryehEI-SRd2ckquOtKs0MA\n",
+      "  Args:\n",
+      "    order_id: 12345\n",
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: lookup_order\n",
+      "\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "I see that the order was shipped recently. However, since you mentioned the package has already arrived and is damaged, I recommend the following steps:\n",
+      "\n",
+      "1. Take clear photos of the damaged package and the damaged items.\n",
+      "2. Contact our customer support team with the order details and photos.\n",
+      "3. We can help you with a replacement or refund.\n",
+      "\n",
+      "Would you like me to help you further with this issue? Could you provide me with the specific order number so I can assist you more accurately?\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"The package already arrived, but seems damaged\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "aa616877-3563-4bd3-9a2f-1f3b24ee8965",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753926912000#095ae727 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "The package already arrived, but seems damaged\n",
+      "================================ TOOL =================================\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "================================ ASSISTANT =================================\n",
+      "I see that the order was shipped recently. However, since you mentioned the package has already arrived and is damaged, I recommend the following steps:\n",
+      "\n",
+      "1. Take clear photos of the damaged package and the damaged items.\n",
+      "2. Contact our customer support team with the order details and photos.\n",
+      "3. We can help you with a replacement or refund.\n",
+      "\n",
+      "Would you like me to help you further with this issue? Could you provide me with the specific order number so I can assist you more accurately?\n",
+      "\n",
+      "================================ Event Id: 0000001753926909000#ebf8d68d =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "The package already arrived, but seems damaged\n",
+      "\n",
+      "================================ Event Id: 0000001753926858000#eed1ac65 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "myemail@example.com\n",
+      "================================ TOOL =================================\n",
+      "Customer's email updated to myemail@example.com\n",
+      "================================ ASSISTANT =================================\n",
+      "Your email address has been successfully updated to myemail@example.com. \n",
+      "\n",
+      "Is there anything else I can help you with today? Would you like to check the status of an order?\n",
+      "\n",
+      "================================ Event Id: 0000001753926857000#e22d00a2 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "myemail@example.com\n",
+      "\n",
+      "================================ Event Id: 0000001753926839000#d5052028 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Actually, before that - I also want to change my email address\n",
+      "================================ ASSISTANT =================================\n",
+      "I'll help you with updating your email address first, and then we'll check the status of your order.\n",
+      "\n",
+      "Could you please provide me with the new email address you'd like to use?\n",
+      "\n",
+      "================================ Event Id: 0000001753926824000#46374f3d =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ TOOL =================================\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "================================ ASSISTANT =================================\n",
+      "I see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that's causing you concern? I'd be happy to help you further or provide more information about the shipment.\n",
+      "\n",
+      "================================ Event Id: 0000001753926822000#47403cb4 =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9f060f82-c718-4d1b-81d6-29b9163b0bf6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/samples/memory/bedrock-memory-with-tools.ipynb b/samples/memory/bedrock-memory-with-tools.ipynb
new file mode 100644
index 00000000..af1b1228
--- /dev/null
+++ b/samples/memory/bedrock-memory-with-tools.ipynb
@@ -0,0 +1,448 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Install dependencies if needed\n",
+    "!pip install langgraph bedrock-agentcore"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import uuid\n",
+    "import json\n",
+    "from typing import Dict, Any, List, Optional\n",
+    "\n",
+    "from langgraph.prebuilt import create_react_agent\n",
+    "\n",
+    "from langchain_aws.memory import (\n",
+    "    create_store_messages_tool,\n",
+    "    create_search_memory_tool,\n",
+    "    create_list_messages_tool\n",
+    ")\n",
+    "from bedrock_agentcore.memory import MemoryClient"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "REGION = \"us-east-1\" "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "memory_client = MemoryClient(region_name=REGION)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "create_response = memory_client.create_memory_and_wait(\n",
+    "    name=\"CustomerSupportAgentMemory\",\n",
+    "    strategies=[{\n",
+    "        \"summaryMemoryStrategy\": {\n",
+    "            \"name\": \"SessionSummarizer\",\n",
+    "            \"namespaces\": [\"/summaries/{actorId}/{sessionId}\"]\n",
+    "        }\n",
+    "    }]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "MEMORY_ID = create_response[\"id\"]\n",
+    "ACTOR_ID = \"User99\"\n",
+    "SESSION_ID = \"OrderSupportSession5\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def list_events():\n",
+    "    events = memory_client.list_events(memory_id=MEMORY_ID, session_id=SESSION_ID, actor_id=ACTOR_ID)\n",
+    "    for event in events:\n",
+    "        print(f\"\\n================================ Event Id: {event['eventId']} =================================\\n\")\n",
+    "        for payload in event['payload']:\n",
+    "            print(f\"================================ {payload['conversational']['role']} =================================\")\n",
+    "            print(payload['conversational']['content']['text'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "store_messages_tool = create_store_messages_tool(\n",
+    "    memory_client=memory_client\n",
+    ")\n",
+    "\n",
+    "search_memory_tool = create_search_memory_tool(\n",
+    "    memory_client=memory_client\n",
+    ")\n",
+    "\n",
+    "list_messages_tool = create_list_messages_tool(\n",
+    "    memory_client=memory_client\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_core.tools import tool\n",
+    "\n",
+    "@tool\n",
+    "def lookup_order(order_id: str) -> str:\n",
+    "    \"\"\"Returns the order status\"\"\"\n",
+    "    return f\"Customer order {order_id} was shipped 3 days ago, with an expected delivery tomorrow before 5pm\"\n",
+    "\n",
+    "@tool\n",
+    "def update_customer_email(email: str):\n",
+    "    \"\"\"Updates customer's email address\"\"\"\n",
+    "    return f\"Customer's email updated to {email}\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llm_model = \"bedrock_converse:us.anthropic.claude-3-5-haiku-20241022-v1:0\"\n",
+    "prompt = \"\"\"You are are customer service assistant with access to order and memory tools.\"\"\"\n",
+    "\n",
+    "agent = create_react_agent(\n",
+    "    llm_model,\n",
+    "    tools=[store_messages_tool, search_memory_tool, list_messages_tool, lookup_order, update_customer_email],\n",
+    "    prompt=prompt\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "config = {\n",
+    "    \"configurable\": {\n",
+    "        \"memory_id\": MEMORY_ID,\n",
+    "        \"session_id\": SESSION_ID,\n",
+    "        \"actor_id\": ACTOR_ID,\n",
+    "        \"namespace\": f\"/summaries/{ACTOR_ID}/{SESSION_ID}\"\n",
+    "    }\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[{'type': 'text', 'text': \"I'll help you look up the status of your order right away.\"}, {'type': 'tool_use', 'name': 'lookup_order', 'input': {'order_id': '12345'}, 'id': 'tooluse_ub-cWkE_Tc-2ItPbhbqT0A'}]\n",
+      "Tool Calls:\n",
+      "  lookup_order (tooluse_ub-cWkE_Tc-2ItPbhbqT0A)\n",
+      " Call ID: tooluse_ub-cWkE_Tc-2ItPbhbqT0A\n",
+      "  Args:\n",
+      "    order_id: 12345\n",
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: lookup_order\n",
+      "\n",
+      "Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[{'type': 'text', 'text': \"I can see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that is causing you concern? I'm here to help you with any questions or issues you might be experiencing.\"}, {'type': 'tool_use', 'name': 'store_messages', 'input': {'messages': [{'type': 'human', 'content': \"Hi, I'm having trouble with my order #12345\"}, {'type': 'ai', 'content': \"I'll help you look up the status of your order right away. Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm. I can see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that is causing you concern? I'm here to help you with any questions or issues you might be experiencing.\"}]}, 'id': 'tooluse_R9RTj2qkRm6P-BkzJBWX0g'}]\n",
+      "Tool Calls:\n",
+      "  store_messages (tooluse_R9RTj2qkRm6P-BkzJBWX0g)\n",
+      " Call ID: tooluse_R9RTj2qkRm6P-BkzJBWX0g\n",
+      "  Args:\n",
+      "    messages: [{'type': 'human', 'content': \"Hi, I'm having trouble with my order #12345\"}, {'type': 'ai', 'content': \"I'll help you look up the status of your order right away. Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm. I can see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that is causing you concern? I'm here to help you with any questions or issues you might be experiencing.\"}]\n",
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: store_messages\n",
+      "\n",
+      "Memory created with ID: 0000001753929112000#5996cf1c\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[]\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"Hi, I'm having trouble with my order #12345\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753929112000#5996cf1c =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ ASSISTANT =================================\n",
+      "I'll help you look up the status of your order right away. Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm. I can see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that is causing you concern? I'm here to help you with any questions or issues you might be experiencing.\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "Actually, before that - I also want to change my email address\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "I can help you update your email address. Could you please provide me with the new email address you would like to use?\n",
+      "\n",
+      "I'll use the `update_customer_email` tool to make this change for you once you share the new email address.\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"Actually, before that - I also want to change my email address\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753929112000#5996cf1c =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ ASSISTANT =================================\n",
+      "I'll help you look up the status of your order right away. Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm. I can see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that is causing you concern? I'm here to help you with any questions or issues you might be experiencing.\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "myemail@example.com\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[{'type': 'text', 'text': \"I'll help you update your email address. I'll use the `update_customer_email` tool to do this.\"}, {'type': 'tool_use', 'name': 'update_customer_email', 'input': {'email': 'myemail@example.com'}, 'id': 'tooluse_m-5o4fUXRrG4zamhpoEW2g'}]\n",
+      "Tool Calls:\n",
+      "  update_customer_email (tooluse_m-5o4fUXRrG4zamhpoEW2g)\n",
+      " Call ID: tooluse_m-5o4fUXRrG4zamhpoEW2g\n",
+      "  Args:\n",
+      "    email: myemail@example.com\n",
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: update_customer_email\n",
+      "\n",
+      "Customer's email updated to myemail@example.com\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "Your email address has been successfully updated to myemail@example.com. Is there anything else I can help you with today?\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"myemail@example.com\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753929112000#5996cf1c =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ ASSISTANT =================================\n",
+      "I'll help you look up the status of your order right away. Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm. I can see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that is causing you concern? I'm here to help you with any questions or issues you might be experiencing.\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "The package already arrived, but seems damaged\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "I'm sorry to hear that your package arrived damaged. I'll help you resolve this issue. Could you please provide me with your order number so I can look up the details of your order and assist you further?\n"
+     ]
+    }
+   ],
+   "source": [
+    "response = agent.invoke({\n",
+    "    \"messages\": [\n",
+    "        \"The package already arrived, but seems damaged\"\n",
+    "    ]\n",
+    "}, config)\n",
+    "for message in response[\"messages\"]:\n",
+    "    message.pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "================================ Event Id: 0000001753929112000#5996cf1c =================================\n",
+      "\n",
+      "================================ USER =================================\n",
+      "Hi, I'm having trouble with my order #12345\n",
+      "================================ ASSISTANT =================================\n",
+      "I'll help you look up the status of your order right away. Customer order 12345 was shipped 3 days ago, with an expected delivery tomorrow before 5pm. I can see that your order #12345 was shipped 3 days ago and is expected to be delivered tomorrow before 5 PM. Is there anything specific about the order that is causing you concern? I'm here to help you with any questions or issues you might be experiencing.\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_events()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}