Add configurable defaults for infer and custom update prompt

mem0/configs/base.py

@@ -64,6 +64,10 @@ class MemoryConfig(BaseModel):
         description="Custom prompt for the update memory",
         default=None,
     )
+    default_infer: bool = Field(
+        description="Default value for infer when not specified in API call",
+        default=True
+    )
 
 
 class AzureConfig(BaseModel):

openmemory/api/app/mcp_server.py

@@ -20,6 +20,7 @@
 import json
 import logging
 import uuid
+from typing import Optional
 
 from app.database import SessionLocal
 from app.models import Memory, MemoryAccessLog, MemoryState, MemoryStatusHistory
@@ -57,8 +58,8 @@ def get_memory_client_safe():
 # Initialize SSE transport
 sse = SseServerTransport("/mcp/messages/")
 
-@mcp.tool(description="Add a new memory. This method is called everytime the user informs anything about themselves, their preferences, or anything that has any relevant information which can be useful in the future conversation. This can also be called when the user asks you to remember something.")
-async def add_memories(text: str) -> str:
+@mcp.tool(description="Add a new memory. This method is called everytime the user informs anything about themselves, their preferences, or anything that has any relevant information which can be useful in the future conversation. This can also be called when the user asks you to remember something. The 'infer' parameter controls processing: True (default) = LLM extracts semantic facts and deduplicates; False = stores exact verbatim text without transformation.")
+async def add_memories(text: str, infer: Optional[bool] = None) -> str:
     uid = user_id_var.get(None)
     client_name = client_name_var.get(None)
 
@@ -82,12 +83,17 @@ async def add_memories(text: str) -> str:
             if not app.is_active:
                 return f"Error: App {app.name} is currently paused on OpenMemory. Cannot create new memories."
 
+            # Apply default from config if not specified
+            infer_value = infer if infer is not None else memory_client.config.default_infer
+
             response = memory_client.add(text,
                                          user_id=uid,
                                          metadata={
-                                            "source_app": "openmemory",
-                                            "mcp_client": client_name,
-                                        })
+                                             "source_app": "openmemory",
+                                             "mcp_client": client_name
+                                             },
+                                         infer=infer_value
+                                         )
 
             # Process the response and update database
             if isinstance(response, dict) and 'results' in response:

openmemory/api/app/routers/config.py

@@ -41,6 +41,12 @@ class Mem0Config(BaseModel):
     llm: Optional[LLMProvider] = None
     embedder: Optional[EmbedderProvider] = None
     vector_store: Optional[VectorStoreProvider] = None
+    default_infer: Optional[bool] = Field(
+        None,
+        description="Default value for infer parameter when not specified in API/MCP calls. "
+                    "When True: enables LLM fact extraction and deduplication. "
+                    "When False: stores verbatim text without transformation."
+    )
 
 class ConfigSchema(BaseModel):
     openmemory: Optional[OpenMemoryConfig] = None
@@ -69,7 +75,8 @@ def get_default_configuration():
                     "api_key": "env:OPENAI_API_KEY"
                 }
             },
-            "vector_store": None
+            "vector_store": None,
+            "default_infer": True
         }
     }
 
@@ -154,7 +161,11 @@ async def update_configuration(config: ConfigSchema, db: Session = Depends(get_d
 
     # Update mem0 settings
     updated_config["mem0"] = config.mem0.dict(exclude_none=True)
-
+
+    # Save the configuration to database
+    save_config_to_db(db, updated_config)
+    reset_memory_client()
+    return updated_config
 
 @router.patch("/", response_model=ConfigSchema)
 async def patch_configuration(config_update: ConfigSchema, db: Session = Depends(get_db)):

openmemory/api/app/routers/memories.py

@@ -20,7 +20,7 @@
 from fastapi import APIRouter, Depends, HTTPException, Query
 from fastapi_pagination import Page, Params
 from fastapi_pagination.ext.sqlalchemy import paginate as sqlalchemy_paginate
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 from sqlalchemy import func
 from sqlalchemy.orm import Session, joinedload
 
@@ -213,7 +213,13 @@ class CreateMemoryRequest(BaseModel):
     user_id: str
     text: str
     metadata: dict = {}
-    infer: bool = True
+    infer: Optional[bool] = Field(
+        None,
+        description="Enable LLM processing for fact extraction and deduplication. "
+                    "When True: content is analyzed and transformed into semantic facts. "
+                    "When False: stores exact verbatim text without transformation. "
+                    "When None: uses default from server configuration (default_infer)."
+    )
     app: str = "openmemory"
 
 
@@ -254,6 +260,9 @@ async def create_memory(
             "error": str(client_error)
         }
 
+    # Apply default from config if not specified
+    infer_value = request.infer if request.infer is not None else memory_client.config.default_infer
+
     # Try to save to Qdrant via memory_client
     try:
         qdrant_response = memory_client.add(
@@ -263,7 +272,7 @@ async def create_memory(
                 "source_app": "openmemory",
                 "mcp_client": request.app,
             },
-            infer=request.infer
+            infer=infer_value
         )
 
         # Log the response for debugging

openmemory/api/app/utils/memory.py

@@ -304,10 +304,11 @@ def get_memory_client(custom_instructions: str = None):
     try:
         # Start with default configuration
         config = get_default_memory_config()
-        
-        # Variable to track custom instructions
+
+        # Variables to track custom prompts and defaults from database
         db_custom_instructions = None
-
+        db_default_infer = None
+
         # Load configuration from database
         try:
             db = SessionLocal()
@@ -316,14 +317,19 @@ def get_memory_client(custom_instructions: str = None):
             if db_config:
                 json_config = db_config.value
 
-                # Extract custom instructions from openmemory settings
-                if "openmemory" in json_config and "custom_instructions" in json_config["openmemory"]:
-                    db_custom_instructions = json_config["openmemory"]["custom_instructions"]
-
+                # Extract custom prompts from openmemory settings
+                if "openmemory" in json_config:
+                    if "custom_instructions" in json_config["openmemory"]:
+                        db_custom_instructions = json_config["openmemory"]["custom_instructions"]
+
                 # Override defaults with configurations from the database
                 if "mem0" in json_config:
                     mem0_config = json_config["mem0"]
-
+
+                    # Extract default flags from mem0 config
+                    if "default_infer" in mem0_config:
+                        db_default_infer = mem0_config["default_infer"]
+
                     # Update LLM configuration if available
                     if "llm" in mem0_config and mem0_config["llm"] is not None:
                         config["llm"] = mem0_config["llm"]
@@ -357,6 +363,11 @@ def get_memory_client(custom_instructions: str = None):
         if instructions_to_use:
             config["custom_fact_extraction_prompt"] = instructions_to_use
 
+        # Use database value for default_infer
+        # Note: Must use 'is not None' check to properly handle False value
+        if db_default_infer is not None:
+            config["default_infer"] = db_default_infer
+
         # ALWAYS parse environment variables in the final config
         # This ensures that even default config values like "env:OPENAI_API_KEY" get parsed
         print("Parsing environment variables in final config...")

openmemory/ui/components/form-view.tsx

@@ -97,6 +97,16 @@ export function FormView({ settings, onChange }: FormViewProps) {
     })
   }
 
+  const handleMem0ConfigChange = (key: string, value: any) => {
+    onChange({
+      ...settings,
+      mem0: {
+        ...settings.mem0,
+        [key]: value,
+      },
+    })
+  }
+
   const needsLlmApiKey = settings.mem0?.llm?.provider?.toLowerCase() !== "ollama"
   const needsEmbedderApiKey = settings.mem0?.embedder?.provider?.toLowerCase() !== "ollama"
   const isLlmOllama = settings.mem0?.llm?.provider?.toLowerCase() === "ollama"
@@ -352,6 +362,29 @@ export function FormView({ settings, onChange }: FormViewProps) {
         </CardContent>
       </Card>
 
+      {/* Default Memory Processing Settings */}
+      <Card>
+        <CardHeader>
+          <CardTitle>Default Memory Processing Settings</CardTitle>
+          <CardDescription>Configure default behavior for memory operations</CardDescription>
+        </CardHeader>
+        <CardContent className="space-y-6">
+          <div className="flex items-center justify-between">
+            <div className="space-y-0.5 flex-1">
+              <Label htmlFor="default-infer">Default Infer</Label>
+              <p className="text-xs text-muted-foreground">
+                Enable LLM processing (extraction & deduplication) by default
+              </p>
+            </div>
+            <Switch
+              id="default-infer"
+              checked={settings.mem0?.default_infer !== false}
+              onCheckedChange={(checked) => handleMem0ConfigChange("default_infer", checked)}
+            />
+          </div>
+        </CardContent>
+      </Card>
+
       {/* Backup (Export / Import) */}
       <Card>
         <CardHeader>