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https://github.com/crewAIInc/crewAI.git
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feat: Enhance memory system with isolated memory configuration (#2597)
* feat: support defining any memory in an isolated way This change makes it easier to use a specific memory type without unintentionally enabling all others. Previously, setting memory=True would implicitly configure all available memories (like LTM and STM), which might not be ideal in all cases. For example, when building a chatbot that only needs an external memory, users were forced to also configure LTM and STM — which rely on default OpenAPI embeddings — even if they weren’t needed. With this update, users can now define a single memory in isolation, making the configuration process simpler and more flexible. * feat: add tests to ensure we are able to use contextual memory by set individual memories * docs: enhance memory documentation * feat: warn when long-term memory is defined but entity memory is not
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@@ -275,46 +275,51 @@ class Crew(BaseModel):
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return self
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def _initialize_user_memory(self):
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if (
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self.memory_config
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and "user_memory" in self.memory_config
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and self.memory_config.get("provider") == "mem0"
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): # Check for user_memory in config
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user_memory_config = self.memory_config["user_memory"]
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if isinstance(
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user_memory_config, dict
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): # Check if it's a configuration dict
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self._user_memory = UserMemory(crew=self)
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else:
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raise TypeError("user_memory must be a configuration dictionary")
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def _initialize_default_memories(self):
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self._long_term_memory = self._long_term_memory or LongTermMemory()
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self._short_term_memory = self._short_term_memory or ShortTermMemory(
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crew=self,
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embedder_config=self.embedder,
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)
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self._entity_memory = self.entity_memory or EntityMemory(
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crew=self, embedder_config=self.embedder
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)
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@model_validator(mode="after")
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def create_crew_memory(self) -> "Crew":
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"""Set private attributes."""
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"""Initialize private memory attributes."""
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self._external_memory = (
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# External memory doesn’t support a default value since it was designed to be managed entirely externally
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self.external_memory.set_crew(self)
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if self.external_memory
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else None
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)
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self._long_term_memory = self.long_term_memory
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self._short_term_memory = self.short_term_memory
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self._entity_memory = self.entity_memory
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# UserMemory is gonna to be deprecated in the future, but we have to initialize a default value for now
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self._user_memory = None
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if self.memory:
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self._long_term_memory = (
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self.long_term_memory if self.long_term_memory else LongTermMemory()
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)
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self._short_term_memory = (
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self.short_term_memory
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if self.short_term_memory
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else ShortTermMemory(
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crew=self,
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embedder_config=self.embedder,
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)
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)
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self._entity_memory = (
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self.entity_memory
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if self.entity_memory
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else EntityMemory(crew=self, embedder_config=self.embedder)
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)
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self._external_memory = (
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# External memory doesn’t support a default value since it was designed to be managed entirely externally
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self.external_memory.set_crew(self)
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if self.external_memory
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else None
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)
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if (
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self.memory_config
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and "user_memory" in self.memory_config
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and self.memory_config.get("provider") == "mem0"
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): # Check for user_memory in config
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user_memory_config = self.memory_config["user_memory"]
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if isinstance(
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user_memory_config, dict
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): # Check if it's a configuration dict
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self._user_memory = UserMemory(crew=self)
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else:
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raise TypeError("user_memory must be a configuration dictionary")
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else:
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self._user_memory = None # No user memory if not in config
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self._initialize_default_memories()
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self._initialize_user_memory()
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return self
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@model_validator(mode="after")
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