autonomous_agents
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Autonomous agents in the Langchain experimental package include [AutoGPT](Significant-Gravitas/AutoGPT), [BabyAGI](yoheinakajima/babyagi), and [HuggingGPT](https://arxiv.org/abs/2303.17580) agents that interact with language models autonomously.
These agents have specific functionalities like memory management, task creation, execution chains, and response generation.
They differ from ordinary agents by their autonomous decision-making capabilities, memory handling, and specialized functionalities for tasks and response.
Classes
Agent for interacting with AutoGPT. |
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Memory for AutoGPT. |
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Action returned by AutoGPTOutputParser. |
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Output parser for AutoGPT. |
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Base Output parser for AutoGPT. |
Prompt for AutoGPT. |
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Generator of custom prompt strings. |
Controller model for the BabyAGI agent. |
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Chain generating tasks. |
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Chain to execute tasks. |
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Chain to prioritize tasks. |
Agent for interacting with HuggingGPT. |
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Chain to execute tasks. |
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Generates a response based on the input. |
Task to be executed. |
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Load tools and execute tasks. |
Base class for a planner. |
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A plan to execute. |
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Parses the output of the planning stage. |
A step in the plan. |
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Chain to execute tasks. |
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Planner for tasks. |
Functions
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Preprocesses a string to be parsed as json. |
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Generates a prompt string. |
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Load the ResponseGenerator. |
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Load the chat planner. |