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23 lines
892 B
Markdown
23 lines
892 B
Markdown
# Personal Assistants (Agents)
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/personal-assistants)
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We use "personal assistant" here in a very broad sense.
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Personal assistants have a few characteristics:
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- They can interact with the outside world
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- They have knowledge of your data
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- They remember your interactions
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Really all of the functionality in LangChain is relevant for building a personal assistant.
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Highlighting specific parts:
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- [Agent Documentation](../modules/agents.rst) (for interacting with the outside world)
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- [Index Documentation](../modules/indexes.rst) (for giving them knowledge of your data)
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- [Memory](../modules/memory.rst) (for helping them remember interactions)
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Specific examples of this include:
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- [Baby AGI](agents/baby_agi.ipynb): a notebook implementing [BabyAGI](https://github.com/yoheinakajima/babyagi) by Yohei Nakajima as LLM Chains
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