diff --git a/autogen/agentchat/conversable_agent.py b/autogen/agentchat/conversable_agent.py
index 8e66b58a9..c1205ea8d 100644
--- a/autogen/agentchat/conversable_agent.py
+++ b/autogen/agentchat/conversable_agent.py
@@ -77,6 +77,7 @@ class ConversableAgent(LLMAgent):
         llm_config: Optional[Union[Dict, Literal[False]]] = None,
         default_auto_reply: Union[str, Dict] = "",
         description: Optional[str] = None,
+        messages: Optional[Dict[Agent, List[Dict]]] = None,
     ):
         """
         Args:
@@ -121,7 +122,10 @@ class ConversableAgent(LLMAgent):
                 When set to None, will use self.DEFAULT_CONFIG, which defaults to False.
             default_auto_reply (str or dict): default auto reply when no code execution or llm-based reply is generated.
             description (str): a short description of the agent. This description is used by other agents
-                (e.g. the GroupChatManager) to decide when to call upon this agent. (Default: system_message)
+                (e.g. the GroupChatManager) to decide when to call upon this agent. (Default: system_mess
+            messages (dict): the previous chat messages that this agent had in the past with other agens. Can be used to
+                give the agent a memory by providing the chat history. This will allow the agent to resume previous had
+                conversations. Defaults to an empty chat history.
         """
         # we change code_execution_config below and we have to make sure we don't change the input
         # in case of UserProxyAgent, without this we could even change the default value {}
@@ -131,7 +135,11 @@ class ConversableAgent(LLMAgent):
 
         self._name = name
         # a dictionary of conversations, default value is list
-        self._oai_messages = defaultdict(list)
+        if messages is None:
+            self._oai_messages = defaultdict(list)
+        else:
+            self._oai_messages = messages
+
         self._oai_system_message = [{"content": system_message, "role": "system"}]
         self._description = description if description is not None else system_message
         self._is_termination_msg = (
@@ -1211,7 +1219,6 @@ class ConversableAgent(LLMAgent):
         return self._finished_chats
 
     async def a_initiate_chats(self, chat_queue: List[Dict[str, Any]]) -> Dict[int, ChatResult]:
-
         _chat_queue = self._check_chat_queue_for_sender(chat_queue)
         self._finished_chats = await a_initiate_chats(_chat_queue)
         return self._finished_chats
diff --git a/test/agentchat/test_conversable_agent.py b/test/agentchat/test_conversable_agent.py
index 19d724ff8..d8ec115d3 100755
--- a/test/agentchat/test_conversable_agent.py
+++ b/test/agentchat/test_conversable_agent.py
@@ -1311,6 +1311,77 @@ def test_messages_with_carryover():
     assert len(generated_message["content"]) == 2
 
 
+def test_chat_history():
+    alice = autogen.ConversableAgent(
+        "alice",
+        human_input_mode="NEVER",
+        llm_config=False,
+        default_auto_reply="This is alice speaking.",
+    )
+
+    charlie = autogen.ConversableAgent(
+        "charlie",
+        human_input_mode="NEVER",
+        llm_config=False,
+        default_auto_reply="This is charlie speaking.",
+    )
+
+    max_turns = 2
+
+    def bob_initiate_chat(agent: ConversableAgent, text: Literal["past", "future"]):
+        _ = agent.initiate_chat(
+            alice,
+            message=f"This is bob from the {text} speaking.",
+            max_turns=max_turns,
+            clear_history=False,
+            silent=True,
+        )
+        _ = agent.initiate_chat(
+            charlie,
+            message=f"This is bob from the {text} speaking.",
+            max_turns=max_turns,
+            clear_history=False,
+            silent=True,
+        )
+
+    bob = autogen.ConversableAgent(
+        "bob",
+        human_input_mode="NEVER",
+        llm_config=False,
+        default_auto_reply="This is bob from the past speaking.",
+    )
+    bob_initiate_chat(bob, "past")
+    context = bob.chat_messages
+
+    del bob
+
+    # Test agent with chat history
+    bob = autogen.ConversableAgent(
+        "bob",
+        human_input_mode="NEVER",
+        llm_config=False,
+        default_auto_reply="This is bob from the future speaking.",
+        messages=context,
+    )
+
+    assert bool(bob.chat_messages)
+    assert bob.chat_messages == context
+
+    # two times the max turns due to bob replies
+    assert len(bob.chat_messages[alice]) == 2 * max_turns
+    assert len(bob.chat_messages[charlie]) == 2 * max_turns
+
+    bob_initiate_chat(bob, "future")
+    assert len(bob.chat_messages[alice]) == 4 * max_turns
+    assert len(bob.chat_messages[charlie]) == 4 * max_turns
+
+    assert bob.chat_messages[alice][0]["content"] == "This is bob from the past speaking."
+    assert bob.chat_messages[charlie][0]["content"] == "This is bob from the past speaking."
+
+    assert bob.chat_messages[alice][-2]["content"] == "This is bob from the future speaking."
+    assert bob.chat_messages[charlie][-2]["content"] == "This is bob from the future speaking."
+
+
 if __name__ == "__main__":
     # test_trigger()
     # test_context()