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AI Agent Setup - AnythingLLM
Note AnythingLLM supports a lot of LLM providers for use with @agent s and you can see all the supported LLMs from here
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What is AnythingLLM ~ AnythingLLM
What is AnythingLLM? AnythingLLM is the easiest to use, all-in-one AI application that can do RAG, AI Agents, and much more with no code or infrastructure headaches.
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AI Agent Usage - AnythingLLM
With AnythingLLM we make every model possible to be used as an agent, but the strength of your model to comprehend the instruction and examples of tool calling is still reliant on the model itself.
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Home ~ AnythingLLM
AnythingLLM Documentation Learn about AnythingLLM's features and how to use them Get Started→ Installation→ Features→ AnythingLLM Cloud→ Roadmap→ Changelog→ Last updated on September 16, 2025 AnythingLLM Roadmap
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Appearance Customization - AnythingLLM
AnythingLLM allows you to customize the look and feel of your instance to match your brand and identity. Overview of all the appearance settings available in AnythingLLM.
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API Access & Keys - AnythingLLM
AnythingLLM supports a full developer API that you can use to manage, update, embed, and even chat with your workspaces. You can create and delete API keys on the fly if you are allowed permission to do so.
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ChatUI Walkthrough - AnythingLLM
The chat interface of AnythingLLM is where you will spend most of your time when using AnythingLLM, as such you should familiarize yourself with the basics. This page could have some additional icons that are not in t...
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Ollama LLM - AnythingLLM
Ollama is a popular open-source command-line tool and engine that allows you to download quantized versions of the most popular LLM chat models
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Security and Access - AnythingLLM
AnythingLLM supports two types of use cases: single-user and multi-user mode. Single-user Mode Single-user mode is preferred for those who only themselves or a select group of trusted people will use the instance. If ...
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Why does the LLM not use my documents ~ AnythingLLM
In AnythingLLM, we do not read your entire filesystem and then report that to the LLM, as it would waste tokens 99% of the time. Instead, your query is processed against your vector database of document text and we ge...