diff --git a/autogen_teaching/.env b/autogen_teaching/.env
new file mode 100644
index 0000000..bb9956f
--- /dev/null
+++ b/autogen_teaching/.env
@@ -0,0 +1,3 @@
+OPENAI_API_KEY=sk-proj-1111
+TOKENIZERS_PARALLELISM=false
+MODEL=gpt-3.5-turbo
\ No newline at end of file
diff --git a/autogen_teaching/teachable_agents.py b/autogen_teaching/teachable_agents.py
new file mode 100644
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--- /dev/null
+++ b/autogen_teaching/teachable_agents.py
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+import autogen
+from dotenv import load_dotenv
+from autogen import ConversableAgent, UserProxyAgent
+from autogen.agentchat.contrib.capabilities.teachability import Teachability
+
+load_dotenv()
+
+config_list = autogen.config_list_from_dotenv(
+    dotenv_file_path="."
+)
+
+teachable_agent = ConversableAgent(
+    name="teachable_agent",  # The name is flexible, but should not contain spaces to work in group chat.
+    llm_config={"config_list": config_list, "timeout": 120, "cache_seed": None},  # Disable caching.
+)
+
+# Instantiate the Teachability capability. Its parameters are all optional.
+teachability = Teachability(
+    verbosity=0,  # 0 for basic info, 1 to add memory operations, 2 for analyzer messages, 3 for memo lists.
+    reset_db=False,
+    path_to_db_dir="./tmp/notebook/teachability_db",
+    recall_threshold=1.5,  # Higher numbers allow more (but less relevant) memos to be recalled.
+)
+
+# Now add the Teachability capability to the agent.
+teachability.add_to_agent(teachable_agent)
+
+# Instantiate a UserProxyAgent to represent the user. But in this notebook, all user input will be simulated.
+user = UserProxyAgent(
+    name="user",
+    human_input_mode="ALWAYS",
+    is_termination_msg=lambda x: True if "TERMINATE" in x.get("content") else False,
+    max_consecutive_auto_reply=0,
+    code_execution_config={
+        "use_docker": False
+    },
+)
+
+task = """
+    Here is some information about me:
+    
+    1. My favorite programming language is Java
+    2. My hobbies include AI, Drinking, and Futbol
+    3. My birthday is March 3rd
+"""
+
+task_tweet = """
+    Create an engaging tweet about Java
+"""
+
+task_check = """
+    What day is my birthday?
+"""
+
+
+user.initiate_chat(
+    teachable_agent,
+    message=task_tweet,
+    clear_history=False
+)
+
+
+