langchain/docs/use_cases/personal_assistants.md
Zander Chase f329196cf4
Agents 4 18 (#3122)
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](https://docs.langchain.com/docs/use-cases/personal-assistants)
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](../modules/agents.rst) (for interacting with the outside world)
- [Index Documentation](../modules/indexes.rst) (for giving them knowledge of your data)
- [Memory](../modules/memory.rst) (for helping them remember interactions)
Specific examples of this include:
- [AI Plugins](agents/custom_agent_with_plugin_retrieval.ipynb): an implementation of an agent that is designed to be able to use all AI Plugins.