text: Skip to main contentğŸ¦œï¸�ğŸ”— LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryCassandra Chat Message HistoryDynamodb Chat Message HistoryEntity Memory with SQLite storageMomento Chat Message HistoryMongodb Chat Message HistoryMotÃ¶rhead MemoryMotÃ¶rhead Memory (Managed)Postgres Chat Message HistoryRedis Chat Message HistoryZep MemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by providerIntegrationsMemoryMomento Chat Message HistoryMomento Chat Message HistoryThis notebook goes over how to use Momento Cache to store chat message history using the MomentoChatMessageHistory class. See the Momento docs for more detail on how to get set up with Momento.Note that, by default we will create a cache if one with the given name doesn't already exist.You'll need to get a Momento auth token to use this class. This can either be passed in to a momento.CacheClient if you'd like to instantiate that directly, as a named parameter auth_token to MomentoChatMessageHistory.from_client_params, or can just be set as an environment variable MOMENTO_AUTH_TOKEN.from datetime import timedeltafrom langchain.memory import MomentoChatMessageHistorysession_id = "foo"cache_name = "langchain"ttl = timedelta(days=1)history = MomentoChatMessageHistory.from_client_params(    session_id,    cache_name,    ttl,)history.add_user_message("hi!")history.add_ai_message("whats up?")history.messages    [HumanMessage(content='hi!', additional_kwargs={}, example=False),     AIMessage(content='whats up?', additional_kwargs={}, example=False)]PreviousEntity Memory with SQLite storageNextMongodb Chat Message HistoryCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.