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tldr; AnythingLLM is an open-source all-in-one desktop assistant that includes RAG, agents, embedding, and more — all in one package. AnythingLLM desktop requires little or no setup and just works out of the box, while also being highly customizable.

AnythingLLM is also open-source.

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The problem: Consumer AI needs to be the magic box

The problem is that there are no easy-to-use, privacy-preserving, and customizable desktop AI assistants for everyone. Many existing solutions are either too complex for a non-technical consumer, not privacy-minded, do not offer the needed customization for the consumer, or are point solutions - leaving the user to figure out how to connect the dots.

We figured out early on from our open-source "Chat with your documents" GitHub project that many consumers do not have a deep understanding of how AI works, nor should they have to just use any AI tool. They just want to chat with their documents or have a personal agent that can do things for them. They also want this to just work without having to setup a complex infrastructure. Starting a docker container, opening a term, or running a script is too high a technical barrier, but privacy is non-negotiable.

Our solution: AnythingLLM Desktop

Our solution is AnythingLLM for desktop. It is an all-in-one desktop assistant that includes RAG, agents, embedding, and more all in one package. It is designed to be easy to use, privacy-preserving, and customizable. All of this is packaged in a way that is easy to understand and modify for even a consumer who only has a "Newspaper headline" understanding of AI could use it and get the outputs they were looking for without subscribing to a cloud service, installing any software, or having to setup any infrastructure.

AnythingLLM Desktop is designed to be that magic box that just works. It is designed to be a personal assistant that can do things for you. It is designed to be a tool that you can use to chat with your documents, use for work-related tasks, or even use for personal tasks. It strikes the balance between ease of use and information overload on how to set any of this functionality up and get value out of it.

Why consumers use AnythingLLM Desktop

- Installable native app with support for Mac, Windows, and Linux

- Pre-bundled LLM provider to get started with any LLM quickly

- Full RAG pipeline with support for any document type

- Built-in agents with support for any LLM - regardless of function-calling support.

- Built-in embedding with support for any embedding model

- Supports their preferred embedding model, vector database, and LLM provider - if they have one.

- Ability to "tune" and "tweak" settings to get the best results as they become more familiar with the tool and what it is capable of

- Extensible with a full Developer API for everything we didn’t build already.

Why we are doing this

We are building AnythingLLM because we believe that open-source AI is the future. We are also building AnythingLLM because we believe that the accessible consumer AI market is underserved and has too many technical hurdles. There are many great tools and projects, but piece-mealing them together is certainly not the ideal way for a consumer to experience AI or leverage it properly.

We also believe open-source LLMs will always be at par for consumer use cases, and adoption and integration of hardware into consumer devices will be commonplace. AnythingLLM will be able to leverage all of these advances as time goes on while remaining privacy-minded.

Our Asks

Today, we launched on Product Hunt and are looking for feedback and support. We are also looking for feedback on what else we should add to AnythingLLM Desktop to really make it a one-stop shop for everyone to use.

Contact: founders@mintplexlabs.com | Website: https://anythingllm.com