pip install mem0ai

import osfrom mem0 import Memory
os.environ["OPENAI_API_KEY"] = "xxx"
# Initialize Mem0m = Memory()
# Store a memory from any unstructured textresult = m.add("I am working on improving my tennis skills. Suggest some online courses.", user_id="alice", metadata={"category": "hobbies"})print(result)# Created memory: Improving her tennis skills. Looking for online suggestions.
# Retrieve memoriesall_memories = m.get_all()print(all_memories)
# Search memoriesrelated_memories = m.search(query="What are Alice's hobbies?", user_id="alice")print(related_memories)
# Update a memoryresult = m.update(memory_id="m1", data="Likes to play tennis on weekends")print(result)
# Get memory historyhistory = m.history(memory_id="m1")print(history)

from mem0 import Memory
config = {"vector_store": {"provider": "qdrant","config": {"host": "localhost","port": 6333,}},}
m = Memory.from_config(config)

Store a MemoryRetrieve MemoriesSearch MemoriesUpdate a MemoryMemory HistoryDelete Memory

import osfrom openai import OpenAIfrom mem0 import Memory
# Set the OpenAI API keyos.environ['OPENAI_API_KEY'] = 'sk-xxx'
class PersonalTravelAssistant:def __init__(self):self.client = OpenAI()self.memory = Memory()self.messages = [{"role": "system", "content": "You are a personal AI Assistant."}]
def ask_question(self, question, user_id):# Fetch previous related memoriesprevious_memories = self.search_memories(question, user_id=user_id)prompt = questionif previous_memories:prompt = f"User input: {question}\\n Previous memories: {previous_memories}"self.messages.append({"role": "user", "content": prompt})
# Generate response using GPT-4oresponse = self.client.chat.completions.create(model="gpt-4o",messages=self.messages)answer = response.choices[0].message.contentself.messages.append({"role": "assistant", "content": answer})
# Store the question in memoryself.memory.add(question, user_id=user_id)return answer
def get_memories(self, user_id):memories = self.memory.get_all(user_id=user_id)return [m['text'] for m in memories]
def search_memories(self, query, user_id):memories = self.memory.search(query, user_id=user_id)return [m['text'] for m in memories]
# Usage exampleuser_id = "traveler_123"ai_assistant = PersonalTravelAssistant()
def main():while True:question = input("Question: ")if question.lower() in ['q', 'exit']:print("Exiting...")break
answer = ai_assistant.ask_question(question, user_id=user_id)print(f"Answer: {answer}")memories = ai_assistant.get_memories(user_id=user_id)print("Memories:")for memory in memories:print(f"- {memory}")print("-----")
if __name__ == "__main__":main()