Creating an experimental agents folder, containing BabyAGI, AutoGPT, and
later, other examples

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Co-authored-by: Rahul Behal <rahulbehal01@hotmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

2023-04-18 21:41:03 -07:00

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Personal Assistants (Agents)

Conceptual Guide

We use "personal assistant" here in a very broad sense. Personal assistants have a few characteristics:

They can interact with the outside world
They have knowledge of your data
They remember your interactions

Really all of the functionality in LangChain is relevant for building a personal assistant. Highlighting specific parts:

Agent Documentation (for interacting with the outside world)
Index Documentation (for giving them knowledge of your data)
Memory (for helping them remember interactions)

Specific examples of this include:

AI Plugins: an implementation of an agent that is designed to be able to use all AI Plugins.

893 B Raw Blame History

Personal Assistants (Agents)

893 B

Raw Blame History