diff --git a/pyproject.toml b/pyproject.toml index b585983e6..ef28e29e8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -115,6 +115,7 @@ dependencies = [ "langchain-ollama>=0.2.0", "sqlalchemy[aiosqlite,postgresql_psycopg2binary,postgresql_psycopgbinary]>=2.0.36", "atlassian-python-api>=3.41.16", + "mem0ai>=0.1.26", ] [project.urls] diff --git a/src/backend/base/langflow/components/memories/mem0_chat_memory.py b/src/backend/base/langflow/components/memories/mem0_chat_memory.py new file mode 100644 index 000000000..251a1c798 --- /dev/null +++ b/src/backend/base/langflow/components/memories/mem0_chat_memory.py @@ -0,0 +1,144 @@ +import logging +import os + +from mem0 import Memory, MemoryClient + +from langflow.base.memory.model import LCChatMemoryComponent +from langflow.inputs import ( + DictInput, + HandleInput, + MessageTextInput, + NestedDictInput, + SecretStrInput, +) +from langflow.io import Output +from langflow.schema import Data + +logger = logging.getLogger(__name__) + + +class Mem0MemoryComponent(LCChatMemoryComponent): + display_name = "Mem0 Chat Memory" + description = "Retrieves and stores chat messages using Mem0 memory storage." + name = "mem0_chat_memory" + icon: str = "Mem0" + inputs = [ + NestedDictInput( + name="mem0_config", + display_name="Mem0 Configuration", + info="""Configuration dictionary for initializing Mem0 memory instance. + Example: + { + "graph_store": { + "provider": "neo4j", + "config": { + "url": "neo4j+s://your-neo4j-url", + "username": "neo4j", + "password": "your-password" + } + }, + "version": "v1.1" + }""", + input_types=["Data"], + ), + MessageTextInput( + name="ingest_message", + display_name="Message to Ingest", + info="The message content to be ingested into Mem0 memory.", + ), + HandleInput( + name="existing_memory", + display_name="Existing Memory Instance", + input_types=["Memory"], + info="Optional existing Mem0 memory instance. If not provided, a new instance will be created.", + ), + MessageTextInput( + name="user_id", display_name="User ID", info="Identifier for the user associated with the messages." + ), + MessageTextInput( + name="search_query", display_name="Search Query", info="Input text for searching related memories in Mem0." + ), + SecretStrInput( + name="mem0_api_key", + display_name="Mem0 API Key", + info="API key for Mem0 platform. Leave empty to use the local version.", + ), + DictInput( + name="metadata", + display_name="Metadata", + info="Additional metadata to associate with the ingested message.", + advanced=True, + ), + SecretStrInput( + name="openai_api_key", + display_name="OpenAI API Key", + required=False, + info="API key for OpenAI. Required if using OpenAI Embeddings without a provided configuration.", + ), + ] + + outputs = [ + Output(name="memory", display_name="Mem0 Memory", method="ingest_data"), + Output( + name="search_results", + display_name="Search Results", + method="build_search_results", + ), + ] + + def build_mem0(self) -> Memory: + """Initializes a Mem0 memory instance based on provided configuration and API keys.""" + if self.openai_api_key: + os.environ["OPENAI_API_KEY"] = self.openai_api_key + + try: + if not self.mem0_api_key: + return Memory.from_config(config_dict=dict(self.mem0_config)) if self.mem0_config else Memory() + if self.mem0_config: + return MemoryClient.from_config(api_key=self.mem0_api_key, config_dict=dict(self.mem0_config)) + return MemoryClient(api_key=self.mem0_api_key) + except ImportError as e: + msg = "Mem0 is not properly installed. Please install it with 'pip install -U mem0ai'." + raise ImportError(msg) from e + + def ingest_data(self) -> Memory: + """Ingests a new message into Mem0 memory and returns the updated memory instance.""" + mem0_memory = self.existing_memory if self.existing_memory else self.build_mem0() + + if not self.ingest_message or not self.user_id: + logger.warning("Missing 'ingest_message' or 'user_id'; cannot ingest data.") + return mem0_memory + + metadata = self.metadata if self.metadata else {} + + logger.info("Ingesting message for user_id: %s", self.user_id) + + try: + mem0_memory.add(self.ingest_message, user_id=self.user_id, metadata=metadata) + except Exception: + logger.exception("Failed to add message to Mem0 memory.") + raise + + return mem0_memory + + def build_search_results(self) -> Data: + """Searches the Mem0 memory for related messages based on the search query and returns the results.""" + mem0_memory = self.ingest_data() + search_query = self.search_query + user_id = self.user_id + + logger.info("Search query: %s", search_query) + + try: + if search_query: + logger.info("Performing search with query.") + related_memories = mem0_memory.search(query=search_query, user_id=user_id) + else: + logger.info("Retrieving all memories for user_id: %s", user_id) + related_memories = mem0_memory.get_all(user_id=user_id) + except Exception: + logger.exception("Failed to retrieve related memories from Mem0.") + raise + + logger.info("Related memories retrieved: %s", related_memories) + return related_memories diff --git a/src/frontend/src/icons/Mem0/SvgMem.jsx b/src/frontend/src/icons/Mem0/SvgMem.jsx new file mode 100644 index 000000000..af00b7482 --- /dev/null +++ b/src/frontend/src/icons/Mem0/SvgMem.jsx @@ -0,0 +1,36 @@ +export default function SvgMem0(props) { + return ( + + + + + + + + + + + + + + + + + + + + + + ); +} diff --git a/src/frontend/src/icons/Mem0/index.tsx b/src/frontend/src/icons/Mem0/index.tsx new file mode 100644 index 000000000..480ba6176 --- /dev/null +++ b/src/frontend/src/icons/Mem0/index.tsx @@ -0,0 +1,8 @@ +import React, { forwardRef } from "react"; +import SvgMem from "./SvgMem"; + +export const Mem0 = forwardRef>( + (props, ref) => { + return ; + }, +); diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts index 55f629a0c..28df21f09 100644 --- a/src/frontend/src/utils/styleUtils.ts +++ b/src/frontend/src/utils/styleUtils.ts @@ -238,6 +238,7 @@ import { IFixIcon } from "../icons/IFixIt"; import { LMStudioIcon } from "../icons/LMStudio"; import { LangChainIcon } from "../icons/LangChain"; import { MaritalkIcon } from "../icons/Maritalk"; +import { Mem0 } from "../icons/Mem0"; import { MetaIcon } from "../icons/Meta"; import { MidjourneyIcon } from "../icons/Midjorney"; import { MongoDBIcon } from "../icons/MongoDB"; @@ -826,4 +827,5 @@ export const nodeIconsLucide: iconsType = { CircleCheckBig, ZoomIn, ZoomOut, + Mem0, }; diff --git a/uv.lock b/uv.lock index b9f456271..35f7fdf08 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