What is AnythingLLM?
AnythingLLM is a powerful, open-source AI application that brings together the best AI tools in one place. It lets you chat with your documents, create AI agents, utilize large language models (LLMs), and much more - all while keeping your data private and secure, either locally on your desktop or within your own cloud environment. Whether you're an individual user, a developer, or a business, AnythingLLM offers a seamless and customizable AI experience.
Key Features
💻 Local AI Powerhouse:
Run any LLM locally on your desktop without an internet connection, maintaining complete control over your data.
📚 Universal Document Compatibility:
Interact with any document type, from PDFs and Word docs to codebases and CSVs, even importing from online sources.
🤖 Customizable AI Agents:
Build and deploy AI agents tailored to specific tasks, automating workflows and boosting efficiency.
🔒 Privacy by Design:
Your data stays with you. AnythingLLM runs locally by default, ensuring your information remains private and secure.
🌐 Multi-Platform Flexibility:
Available for Desktop (MacOS, Windows, Linux), self-hosting via Docker, and cloud deployment, catering to diverse needs.
🔌 Extensible Ecosystem:
A growing library of plugins and integrations allows you to expand AnythingLLM's capabilities further.
Use Cases
Researcher streamlining literature review:
A researcher can upload numerous research papers into AnythingLLM and use its AI capabilities to summarize key findings, identify common themes, and extract relevant insights, accelerating the literature review process.
Developer building a custom chatbot:
A developer can leverage AnythingLLM's API and agent features to create a customized chatbot for their website or application, integrating it seamlessly with their existing systems and providing instant support to users.
Business team collaborating on knowledge management:
A team can use AnythingLLM's multi-user capabilities (in the Docker or Cloud versions) to create a shared knowledge base, enabling secure collaboration on documents, analysis, and AI-driven insights, fostering better decision-making.
Conclusion
AnythingLLM empowers individuals and organizations to harness the full potential of AI in a user-friendly, private, and customizable manner. Whether you need a local AI assistant on your desktop or a powerful, collaborative platform for your team, AnythingLLM offers a comprehensive solution that puts you in control of your AI journey.
FAQs
What is the cost of AnythingLLM?
AnythingLLM Desktop and self-hosting via Docker are free and open-source. AnythingLLM Cloud, a managed solution for businesses and teams, starts at $50/month.
How do I install AnythingLLM?
AnythingLLM Desktop offers a one-click installer for Mac, Windows, and Linux. For Docker and Cloud deployments, detailed instructions are available on the AnythingLLM website and GitHub repository.
Where is my data stored in AnythingLLM?
All your data, including documents, chats, and agent configurations, is stored locally on the machine running AnythingLLM, even in the Cloud version where your data is isolated within your dedicated instance.
How does AnythingLLM compare to ChatGPT with plugins?
AnythingLLM provides greater control over your data and privacy, allowing you to run completely offline. It also offers flexibility in choosing LLMs, embedding models, and vector databases, catering to specific needs and preferences.
Can I use AnythingLLM for commercial purposes?
Yes, AnythingLLM is licensed under the MIT license, allowing for both personal and commercial use.
More information on AnythingLLM
Launched
2023-06
Pricing Model
Free Trial
Starting Price
Global Rank
115138
Follow
Month Visit
438.2K
Tech used
Google Analytics,Google Tag Manager,Microsoft Clarity,Framer,Google Fonts,HSTS,YouTube
Top 5 Countries
21.66%
10.59%
9.07%
4.88%
3.54%
United States
China
Germany
Russia
India
Traffic Sources
3.41%
0.58%
0.23%
7.76%
44.61%
43.39%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 24, 2025)
AnythingLLM was manually vetted by our editorial team and was first featured on 2023-09-29.
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