Files
crewAI/src/crewai/memory/storage/mem0_storage.py
2025-09-03 22:29:41 -04:00

190 lines
6.3 KiB
Python

import os
from collections import defaultdict
from typing import Any
from mem0 import Memory, MemoryClient
from crewai.memory.storage.interface import Storage
from crewai.utilities.chromadb import sanitize_collection_name
MAX_AGENT_ID_LENGTH_MEM0 = 255
class Mem0Storage(Storage):
"""
Extends Storage to handle embedding and searching across entities using Mem0.
"""
def __init__(self, type, crew=None, config=None):
super().__init__()
self._validate_type(type)
self.memory_type = type
self.crew = crew
self.config = config or {}
self._extract_config_values()
self._initialize_memory()
def _validate_type(self, type):
supported_types = {"short_term", "long_term", "entities", "external"}
if type not in supported_types:
raise ValueError(
f"Invalid type '{type}' for Mem0Storage. Must be one of: {', '.join(supported_types)}"
)
def _extract_config_values(self):
self.mem0_run_id = self.config.get("run_id")
self.includes = self.config.get("includes")
self.excludes = self.config.get("excludes")
self.custom_categories = self.config.get("custom_categories")
self.infer = self.config.get("infer", True)
def _initialize_memory(self):
api_key = self.config.get("api_key") or os.getenv("MEM0_API_KEY")
org_id = self.config.get("org_id")
project_id = self.config.get("project_id")
local_config = self.config.get("local_mem0_config")
if api_key:
self.memory = (
MemoryClient(api_key=api_key, org_id=org_id, project_id=project_id)
if org_id and project_id
else MemoryClient(api_key=api_key)
)
if self.custom_categories:
self.memory.update_project(custom_categories=self.custom_categories)
else:
self.memory = (
Memory.from_config(local_config)
if local_config and len(local_config)
else Memory()
)
def _create_filter_for_search(self):
"""
Returns:
dict: A filter dictionary containing AND conditions for querying data.
- Includes user_id and agent_id if both are present.
- Includes user_id if only user_id is present.
- Includes agent_id if only agent_id is present.
- Includes run_id if memory_type is 'short_term' and mem0_run_id is present.
"""
filter = defaultdict(list)
if self.memory_type == "short_term" and self.mem0_run_id:
filter["AND"].append({"run_id": self.mem0_run_id})
else:
user_id = self.config.get("user_id", "")
agent_id = self.config.get("agent_id", "")
if user_id and agent_id:
filter["OR"].append({"user_id": user_id})
filter["OR"].append({"agent_id": agent_id})
elif user_id:
filter["AND"].append({"user_id": user_id})
elif agent_id:
filter["AND"].append({"agent_id": agent_id})
return filter
def save(self, value: Any, metadata: dict[str, Any]) -> None:
user_id = self.config.get("user_id", "")
assistant_message = [{"role": "assistant", "content": value}]
base_metadata = {
"short_term": "short_term",
"long_term": "long_term",
"entities": "entity",
"external": "external",
}
# Shared base params
params: dict[str, Any] = {
"metadata": {"type": base_metadata[self.memory_type], **metadata},
"infer": self.infer,
}
# MemoryClient-specific overrides
if isinstance(self.memory, MemoryClient):
params["includes"] = self.includes
params["excludes"] = self.excludes
params["output_format"] = "v1.1"
params["version"] = "v2"
if self.memory_type == "short_term" and self.mem0_run_id:
params["run_id"] = self.mem0_run_id
if user_id:
params["user_id"] = user_id
if agent_id := self.config.get("agent_id", self._get_agent_name()):
params["agent_id"] = agent_id
self.memory.add(assistant_message, **params)
def search(
self, query: str, limit: int = 3, score_threshold: float = 0.35
) -> list[Any]:
params = {
"query": query,
"limit": limit,
"version": "v2",
"output_format": "v1.1",
}
if user_id := self.config.get("user_id", ""):
params["user_id"] = user_id
memory_type_map = {
"short_term": {"type": "short_term"},
"long_term": {"type": "long_term"},
"entities": {"type": "entity"},
"external": {"type": "external"},
}
if self.memory_type in memory_type_map:
params["metadata"] = memory_type_map[self.memory_type]
if self.memory_type == "short_term":
params["run_id"] = self.mem0_run_id
# Discard the filters for now since we create the filters
# automatically when the crew is created.
params["filters"] = self._create_filter_for_search()
params["threshold"] = score_threshold
if isinstance(self.memory, Memory):
del params["metadata"], params["version"], params["output_format"]
if params.get("run_id"):
del params["run_id"]
results = self.memory.search(**params)
# This makes it compatible for Contextual Memory to retrieve
for result in results["results"]:
result["context"] = result["memory"]
return [r for r in results["results"]]
def reset(self) -> None:
if self.memory:
self.memory.reset()
def _sanitize_role(self, role: str) -> str:
"""
Sanitizes agent roles to ensure valid directory names.
"""
return role.replace("\n", "").replace(" ", "_").replace("/", "_")
def _get_agent_name(self) -> str:
if not self.crew:
return ""
agents = self.crew.agents
agents = [self._sanitize_role(agent.role) for agent in agents]
agents = "_".join(agents)
return sanitize_collection_name(
name=agents, max_collection_length=MAX_AGENT_ID_LENGTH_MEM0
)