Abstract base class for memory in Chains.
Memory refers to state in Chains. Memory can be used to store information about past executions of a Chain and inject that information into the inputs of future executions of the Chain. For example, for conversational Chains Memory can be used to store conversations and automatically add them to future model prompts so that the model has the necessary context to respond coherently to the latest input.
Abstract base class for chat memory.
ATTENTION This abstraction was created prior to when chat models had native tool calling capabilities. It does NOT support native tool calling capabilities for chat models and will fail SILENTLY if used with a chat model that has native tool calling.
DO NOT USE THIS ABSTRACTION FOR NEW CODE.
A basic memory implementation that simply stores the conversation history.
This stores the entire conversation history in memory without any additional processing.
Note that additional processing may be required in some situations when the conversation history is too large to fit in the context window of the model.
A basic memory implementation that simply stores the conversation history.
This stores the entire conversation history in memory without any additional processing.
Equivalent to ConversationBufferMemory but tailored more specifically for string-based conversations rather than chat models.
Note that additional processing may be required in some situations when the conversation history is too large to fit in the context window of the model.
