Add infer param and version bump (#2389)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

docs/open-source/python-quickstart.mdx

@@ -85,14 +85,18 @@ m = Memory.from_config(config_dict=config)
 
 <CodeGroup>
 ```python Code
-const messages = [
+messages = [
     {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
     {"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
     {"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
     {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
 ]
 
+# Store inferred memories (default behavior)
 result = m.add(messages, user_id="alice", metadata={"category": "movie_recommendations"})
+
+# Store raw messages without inference
+# result = m.add(messages, user_id="alice", metadata={"category": "movie_recommendations"}, infer=False)
 ```
 
 ```json Output

mem0/memory/main.py

@@ -16,8 +16,12 @@ from mem0.memory.base import MemoryBase
 from mem0.memory.setup import setup_config
 from mem0.memory.storage import SQLiteManager
 from mem0.memory.telemetry import capture_event
-from mem0.memory.utils import (get_fact_retrieval_messages, parse_messages,
+from mem0.memory.utils import (
-                               parse_vision_messages, remove_code_blocks)
+    get_fact_retrieval_messages,
+    parse_messages,
+    parse_vision_messages,
+    remove_code_blocks,
+)
 from mem0.utils.factory import EmbedderFactory, LlmFactory, VectorStoreFactory
 
 # Setup user config
@@ -82,6 +86,7 @@ class Memory(MemoryBase):
         run_id=None,
         metadata=None,
         filters=None,
+        infer=True,
         prompt=None,
     ):
         """
@@ -94,6 +99,7 @@ class Memory(MemoryBase):
             run_id (str, optional): ID of the run creating the memory. Defaults to None.
             metadata (dict, optional): Metadata to store with the memory. Defaults to None.
             filters (dict, optional): Filters to apply to the search. Defaults to None.
+            infer (bool, optional): Whether to infer the memories. Defaults to True.
             prompt (str, optional): Prompt to use for memory deduction. Defaults to None.
 
         Returns:
@@ -132,7 +138,7 @@ class Memory(MemoryBase):
             messages = parse_vision_messages(messages)
 
         with concurrent.futures.ThreadPoolExecutor() as executor:
-            future1 = executor.submit(self._add_to_vector_store, messages, metadata, filters)
+            future1 = executor.submit(self._add_to_vector_store, messages, metadata, filters, infer)
             future2 = executor.submit(self._add_to_graph, messages, filters)
 
             concurrent.futures.wait([future1, future2])
@@ -158,7 +164,16 @@ class Memory(MemoryBase):
 
         return {"results": vector_store_result}
 
-    def _add_to_vector_store(self, messages, metadata, filters):
+    def _add_to_vector_store(self, messages, metadata, filters, infer):
+        if not infer:
+            returned_memories = []
+            for message in messages:
+                if message["role"] != "system":
+                    message_embeddings = self.embedding_model.embed(message["content"], "add")
+                    memory_id = self._create_memory(message["content"], message_embeddings, metadata)
+                    returned_memories.append({"id": memory_id, "memory": message["content"], "event": "ADD"})
+            return returned_memories
+
         parsed_messages = parse_messages(messages)
 
         if self.custom_prompt:

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "mem0ai"
-version = "0.1.68"
+version = "0.1.69"
 description = "Long-term memory for AI Agents"
 authors = ["Mem0 <founders@mem0.ai>"]
 exclude = [

tests/test_main.py

@@ -51,7 +51,7 @@ def test_add(memory_instance, version, enable_graph):
         assert result["results"] == [{"memory": "Test memory", "event": "ADD"}]
 
     memory_instance._add_to_vector_store.assert_called_once_with(
-        [{"role": "user", "content": "Test message"}], {"user_id": "test_user"}, {"user_id": "test_user"}
+        [{"role": "user", "content": "Test message"}], {"user_id": "test_user"}, {"user_id": "test_user"}, True
     )
 
     # Remove the conditional assertion for _add_to_graph