AutoGPTMemory

class langchain_experimental.autonomous_agents.autogpt.memory.AutoGPTMemory

Bases: BaseChatMemory

Memory for AutoGPT.

param chat_memory: BaseChatMessageHistory [Optional]

param input_key: str | None = None

param output_key: str | None = None

param retriever: VectorStoreRetriever [Required]

VectorStoreRetriever object to connect to.

param return_messages: bool = False

async aclear() → None

Clear memory contents.

Return type:

None

async aload_memory_variables(inputs: dict[str, Any]) → dict[str, Any]

Async return key-value pairs given the text input to the chain.

Parameters:

inputs (dict[str, Any]) – The inputs to the chain.

Returns:

A dictionary of key-value pairs.

Return type:

dict[str, Any]

async asave_context(inputs: Dict[str, Any], outputs: Dict[str, str]) → None

Save context from this conversation to buffer.

Parameters:

• inputs (Dict[str, Any])

• outputs (Dict[str, str])

Return type:

None

clear() → None

Clear memory contents.

Return type:

None

load_memory_variables(inputs: Dict[str, Any]) → Dict[str, Any]

Return key-value pairs given the text input to the chain.

Parameters:

inputs (Dict[str, Any]) – The inputs to the chain.

Returns:

A dictionary of key-value pairs.

Return type:

Dict[str, Any]

save_context(inputs: Dict[str, Any], outputs: Dict[str, str]) → None

Save context from this conversation to buffer.

Parameters:

• inputs (Dict[str, Any])

• outputs (Dict[str, str])

Return type:

None

property memory_variables: List[str]

The string keys this memory class will add to chain inputs.