
Overall Score
33
Top 5%
of AI companies
by Mintplex Labs
AnythingLLM is an all-in-one desktop application for Mac, Windows, and Linux that enables you to download and run any LLM locally and privat
AnythingLLM is an all-in-one desktop application for Mac, Windows, and Linux that enables you to download and run any LLM locally and privately chat with your documents. By default, the LLM, embedding, and even vector database are all stored locally and can even run 100% offline. If you are looking...

Overall Score
33
Top 5%
of AI companies
Overall Score
33
GitHub Stars
62K
Monthly Visits
76K
Community Rating
4.4
AnythingLLM is an all-in-one desktop application for Mac, Windows, and Linux that enables you to download and run any LLM locally and privately chat with your documents. By default, the LLM, embedding, and even vector database are all stored locally and can even run 100% offline. If you are looking...
Latest detected signals across traffic, developer activity and community mentions.
| Keyword | Volume / Mo | CPC |
|---|---|---|
| anythingllm | 114,920 | $2.54 |
| anything llm | 18,470 | $3.37 |
| how does anything llm support multiple embedding model | 550 | — |
| useanything | 280 | — |
| how to change the rag embedding model in lmstudio | — | — |
Pro
$99
/ monthly
AnythingLLM is an all-in-one desktop application for Mac, Windows, and Linux that enables you to download and run any LLM locally and privately chat with your documents. By default, the LLM, embedding, and even vector database are all stored locally and can even run 100% offline. If you are looking...
Get notified when score, traffic, GitHub or community signals change.
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
Featured on Product Hunt
Featured on Product Hunt
GitHub repo created
| Keyword | Volume / Mo | CPC |
|---|---|---|
| anythingllm | 114,920 | $2.54 |
| anything llm | 18,470 | $3.37 |
| how does anything llm support multiple embedding model | 550 | — |
| useanything | 280 | — |
| how to change the rag embedding model in lmstudio | — | — |
Saves
47.7K
Rating
4.4
10 reviews
Views
24.6K
Category
Document chat
Pros · 31
Cons · 8
Rating distribution
User reviews · 3
So much easy and efficient. I've used LMStudio but this is seamless.
Supported features
Release history · 1+
Initial release of AnythingLLM.
Q&A · 22
AnythingLLM is an AI business intelligence tool that provides a high degree of control for your Language Learning Model (LLM). It is designed for multi-user support for both internal and external operations, and it fully focuses on privacy, not communicating with any service without explicit connection. It is not tied to a single LLM provider and supports an array of models. This tool is also compatible with various document formats and has a customizable interface and developer API, allowing for a high level of personalization. It can function as a standalone application on your desktop, whether MacOS or Windows.
A Language Learning Model (LLM) is an artificial intelligence system designed for processing and understanding language-based data. AnythingLLM utilizes LLM by providing a utility that extends multi-user support and is geared towards both internal and external operations by maintaining privacy and compatibility with different types of LLM such as proprietary models, custom models, and open-source models.
AnythingLLM can function without internet connectivity as it operates with a privacy-focused design that only communicates with services that have been explicitly connected to it. This means it can run independently on your machine without the need for internet access.
AnythingLLM supports a wide variety of models. This includes but is not limited to proprietary enterprise models, tailored custom models, as well as open-source models.
Apart from PDFs, AnythingLLM also supports other diverse document formats including Word Documents. This broad range of document compatibility extends its utility in various operations.
Alternatives — peer set
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Top 10 in Foundation Models.
<iframe src="https://indexator.ai/api/embed/leaderboard?category=Foundation%20Models" width="300" height="400" frameborder="0" style="border:none;border-radius:8px"></iframe>One of the easiest tools I've worked with.
@AnythingLLM is easy to use, and allows us to build private databases using several (any) kinds of media (text, pdf, audio, etc) and use it as a source of knowledge for any LLM you might wonder to experiment!