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
This commit is contained in:
Lucas Gomide
2025-04-14 16:48:48 -03:00
committed by GitHub
parent 88455cd52c
commit 9dffd42e6d
17 changed files with 5018 additions and 1528 deletions

View File

@@ -72,7 +72,6 @@ class CrewAgentExecutorMixin:
"""Create and save long-term and entity memory items based on evaluation."""
if (
self.crew
and self.crew.memory
and self.crew._long_term_memory
and self.crew._entity_memory
and self.task
@@ -114,6 +113,15 @@ class CrewAgentExecutorMixin:
except Exception as e:
print(f"Failed to add to long term memory: {e}")
pass
elif (
self.crew
and self.crew._long_term_memory
and self.crew._entity_memory is None
):
self._printer.print(
content="Long term memory is enabled, but entity memory is not enabled. Please configure entity memory or set memory=True to automatically enable it.",
color="bold_yellow",
)
def _ask_human_input(self, final_answer: str) -> str:
"""Prompt human input with mode-appropriate messaging."""