diff --git a/docs/docs.json b/docs/docs.json index 8a99d52c8..0f1d0f10a 100644 --- a/docs/docs.json +++ b/docs/docs.json @@ -330,9 +330,7 @@ "pages": [ "api-reference/memory/add-memories", "api-reference/memory/v2-search-memories", - "api-reference/memory/v1-search-memories", "api-reference/memory/v2-get-memories", - "api-reference/memory/v1-get-memories", "api-reference/memory/history-memory", "api-reference/memory/get-memory", "api-reference/memory/update-memory", diff --git a/docs/examples/email_processing.mdx b/docs/examples/email_processing.mdx index 572d18323..640aa32af 100644 --- a/docs/examples/email_processing.mdx +++ b/docs/examples/email_processing.mdx @@ -112,7 +112,6 @@ class EmailProcessor: query=query, user_id=user_id, categories=["email"], - output_format="v1.1", version="v2" ) @@ -136,8 +135,7 @@ class EmailProcessor: thread = self.client.get_all( version="v2", - filters=filters, - output_format="v1.1" + filters=filters ) return thread diff --git a/docs/examples/mem0-agentic-tool.mdx b/docs/examples/mem0-agentic-tool.mdx index a616876e4..135716585 100644 --- a/docs/examples/mem0-agentic-tool.mdx +++ b/docs/examples/mem0-agentic-tool.mdx @@ -112,7 +112,7 @@ async def search_memory( query: The search query. """ user_id = context.context.user_id or "default_user" - memories = await client.search(query, user_id=user_id, output_format="v1.1") + memories = await client.search(query, user_id=user_id) results = '\n'.join([result["memory"] for result in memories["results"]]) return str(results) ``` @@ -126,7 +126,7 @@ async def get_all_memory( ) -> str: """Retrieve all memories from Mem0""" user_id = context.context.user_id or "default_user" - memories = await client.get_all(user_id=user_id, output_format="v1.1") + memories = await client.get_all(user_id=user_id) results = '\n'.join([result["memory"] for result in memories["results"]]) return str(results) ``` diff --git a/docs/examples/mem0-google-adk-healthcare-assistant.mdx b/docs/examples/mem0-google-adk-healthcare-assistant.mdx index c6b40ac1b..c9f40d7ee 100644 --- a/docs/examples/mem0-google-adk-healthcare-assistant.mdx +++ b/docs/examples/mem0-google-adk-healthcare-assistant.mdx @@ -80,8 +80,7 @@ def retrieve_patient_info(query: str) -> dict: query, user_id=USER_ID, limit=5, - threshold=0.7, # Higher threshold for more relevant results - output_format="v1.1" + threshold=0.7 # Higher threshold for more relevant results ) # Format and return the results diff --git a/docs/examples/personalized-search-tavily-mem0.mdx b/docs/examples/personalized-search-tavily-mem0.mdx index d26d655ae..c8d955335 100644 --- a/docs/examples/personalized-search-tavily-mem0.mdx +++ b/docs/examples/personalized-search-tavily-mem0.mdx @@ -76,7 +76,7 @@ def setup_user_history(user_id): ] for conversation in conversations: - mem0_client.add(conversation, user_id=user_id, output_format="v1.1") + mem0_client.add(conversation, user_id=user_id) ``` This gives the agent a baseline understanding of the user’s lifestyle and needs. diff --git a/docs/integrations/agno.mdx b/docs/integrations/agno.mdx index f04c69aa4..e7d53bcca 100644 --- a/docs/integrations/agno.mdx +++ b/docs/integrations/agno.mdx @@ -125,7 +125,7 @@ def chat_user( if user_input: # Search for relevant memories - memories = client.search(user_input, user_id=user_id, output_format='v1.1') + memories = client.search(user_input, user_id=user_id) memory_context = "\n".join(f"- {m['memory']}" for m in memories['results']) # Construct the prompt diff --git a/docs/integrations/autogen.mdx b/docs/integrations/autogen.mdx index 5fc38fc7b..5c708e8dc 100644 --- a/docs/integrations/autogen.mdx +++ b/docs/integrations/autogen.mdx @@ -62,7 +62,7 @@ conversation = [ {"role": "assistant", "content": "Thank you for the information. Let's troubleshoot this issue..."} ] -memory_client.add(messages=conversation, user_id=USER_ID, output_format="v1.1") +memory_client.add(messages=conversation, user_id=USER_ID) print("Conversation added to memory.") ``` @@ -72,7 +72,7 @@ Create a function to get context-aware responses based on user's question and pr ```python def get_context_aware_response(question): - relevant_memories = memory_client.search(question, user_id=USER_ID, output_format='v1.1') + relevant_memories = memory_client.search(question, user_id=USER_ID) context = "\n".join([m["memory"] for m in relevant_memories.get('results', [])]) prompt = f"""Answer the user question considering the previous interactions: @@ -104,7 +104,7 @@ manager = ConversableAgent( ) def escalate_to_manager(question): - relevant_memories = memory_client.search(question, user_id=USER_ID, output_format='v1.1') + relevant_memories = memory_client.search(question, user_id=USER_ID) context = "\n".join([m["memory"] for m in relevant_memories.get('results', [])]) prompt = f""" diff --git a/docs/integrations/google-ai-adk.mdx b/docs/integrations/google-ai-adk.mdx index 59e317770..b1832a85d 100644 --- a/docs/integrations/google-ai-adk.mdx +++ b/docs/integrations/google-ai-adk.mdx @@ -50,7 +50,7 @@ mem0 = MemoryClient() # Define memory function tools def search_memory(query: str, user_id: str) -> dict: """Search through past conversations and memories""" - memories = mem0.search(query, user_id=user_id, output_format='v1.1') + memories = mem0.search(query, user_id=user_id) if memories.get('results', []): memory_list = memories['results'] memory_context = "\n".join([f"- {mem['memory']}" for mem in memory_list]) @@ -60,7 +60,7 @@ def search_memory(query: str, user_id: str) -> dict: def save_memory(content: str, user_id: str) -> dict: """Save important information to memory""" try: - result = mem0.add([{"role": "user", "content": content}], user_id=user_id, output_format='v1.1') + result = mem0.add([{"role": "user", "content": content}], user_id=user_id) return {"status": "success", "message": "Information saved to memory", "result": result} except Exception as e: return {"status": "error", "message": f"Failed to save memory: {str(e)}"} diff --git a/docs/integrations/langchain.mdx b/docs/integrations/langchain.mdx index f79499e7a..87db5076a 100644 --- a/docs/integrations/langchain.mdx +++ b/docs/integrations/langchain.mdx @@ -65,7 +65,7 @@ Create functions to handle context retrieval, response generation, and addition def retrieve_context(query: str, user_id: str) -> List[Dict]: """Retrieve relevant context from Mem0""" try: - memories = mem0.search(query, user_id=user_id, output_format='v1.1') + memories = mem0.search(query, user_id=user_id) memory_list = memories['results'] serialized_memories = ' '.join([mem["memory"] for mem in memory_list]) @@ -107,7 +107,7 @@ def save_interaction(user_id: str, user_input: str, assistant_response: str): "content": assistant_response } ] - result = mem0.add(interaction, user_id=user_id, output_format='v1.1') + result = mem0.add(interaction, user_id=user_id) print(f"Memory saved successfully: {len(result.get('results', []))} memories added") except Exception as e: print(f"Error saving interaction: {e}") diff --git a/docs/integrations/langgraph.mdx b/docs/integrations/langgraph.mdx index 0755dacee..7e3f8027c 100644 --- a/docs/integrations/langgraph.mdx +++ b/docs/integrations/langgraph.mdx @@ -67,7 +67,7 @@ def chatbot(state: State): try: # Retrieve relevant memories - memories = mem0.search(messages[-1].content, user_id=user_id, output_format='v1.1') + memories = mem0.search(messages[-1].content, user_id=user_id) # Handle dict response format memory_list = memories['results'] @@ -94,7 +94,7 @@ def chatbot(state: State): "content": response.content } ] - result = mem0.add(interaction, user_id=user_id, output_format='v1.1') + result = mem0.add(interaction, user_id=user_id) print(f"Memory saved: {len(result.get('results', []))} memories added") except Exception as e: print(f"Error saving memory: {e}") diff --git a/docs/platform/features/direct-import.mdx b/docs/platform/features/direct-import.mdx index a1619eceb..127d30fd9 100644 --- a/docs/platform/features/direct-import.mdx +++ b/docs/platform/features/direct-import.mdx @@ -41,7 +41,7 @@ You can retrieve memories using the `search` method. ```python Python -client.search("What is Alice's favorite sport?", user_id="alice", output_format="v1.1") +client.search("What is Alice's favorite sport?", user_id="alice") ``` ```json Output diff --git a/examples/mem0-demo/app/api/chat/route.ts b/examples/mem0-demo/app/api/chat/route.ts index 8a7b7ec9f..fe7689493 100644 --- a/examples/mem0-demo/app/api/chat/route.ts +++ b/examples/mem0-demo/app/api/chat/route.ts @@ -70,7 +70,7 @@ const retrieveMemories = (memories: any) => { export async function POST(req: Request) { const { messages, system, tools, userId } = await req.json(); - const memories = await getMemories(messages, { user_id: userId, rerank: true, threshold: 0.1, output_format: "v1.0" }); + const memories = await getMemories(messages, { user_id: userId, rerank: true, threshold: 0.1 }); const mem0Instructions = retrieveMemories(memories); const result = streamText({ diff --git a/examples/misc/fitness_checker.py b/examples/misc/fitness_checker.py index d7f879b3b..bbd50bcec 100644 --- a/examples/misc/fitness_checker.py +++ b/examples/misc/fitness_checker.py @@ -27,7 +27,7 @@ agent = Agent( # Store user preferences as memory def store_user_preferences(conversation: list, user_id: str = USER_ID): """Store user preferences from conversation history""" - memory_client.add(conversation, user_id=user_id, output_format="v1.1") + memory_client.add(conversation, user_id=user_id) # Memory-aware assistant function diff --git a/examples/misc/multillm_memory.py b/examples/misc/multillm_memory.py index 3389a9475..ab024b171 100644 --- a/examples/misc/multillm_memory.py +++ b/examples/misc/multillm_memory.py @@ -99,7 +99,6 @@ Provide actionable insights in your area of expertise.""" user_id=project_id, # Project-level memory agent_id=specialist, # Agent-specific memory metadata={"contributor": specialist, "task_type": "research", "model_used": spec_info["model"]}, - output_format="v1.1", ) return result diff --git a/examples/misc/personal_assistant_agno.py b/examples/misc/personal_assistant_agno.py index 22674898d..bd2f04c91 100644 --- a/examples/misc/personal_assistant_agno.py +++ b/examples/misc/personal_assistant_agno.py @@ -44,7 +44,7 @@ def chat_user(user_input: str = None, user_id: str = "user_123", image_path: str } # Send both as separate message objects - client.add([text_msg, image_msg], user_id=user_id, output_format="v1.1") + client.add([text_msg, image_msg], user_id=user_id) print("✅ Image uploaded and stored in memory.") if user_input: diff --git a/examples/misc/personalized_search.py b/examples/misc/personalized_search.py index fd39e915b..34939fbbd 100644 --- a/examples/misc/personalized_search.py +++ b/examples/misc/personalized_search.py @@ -66,7 +66,7 @@ def setup_user_history(user_id): logger.info(f"Setting up user history for {user_id}") for conversation in conversations: - mem0_client.add(conversation, user_id=user_id, output_format="v1.1") + mem0_client.add(conversation, user_id=user_id) def get_user_context(user_id, query): @@ -209,7 +209,7 @@ def store_search_interaction(user_id, original_query, agent_response): {"role": "assistant", "content": f"Provided personalized results based on user preferences: {agent_response}"} ] - mem0_client.add(messages=interaction, user_id=user_id, output_format="v1.1") + mem0_client.add(messages=interaction, user_id=user_id) logger.info(f"Stored search interaction for user {user_id}")