



GPT4ALL is described as 'Privacy-focused open-source chatbot running locally on consumer CPUs without GPU or internet, supporting multiple customizable large language models and licensing' and is a very popular AI Chatbot in the ai tools & services category. There are more than 100 alternatives to GPT4ALL for a variety of platforms, including Web-based, Mac, Windows, Linux and iPhone apps. The best GPT4ALL alternative is Perplexity, which is free. Other great apps like GPT4ALL are Jan.ai, Duck.ai, AnythingLLM and Secret Llama.




An open-source platform for seamless automation in engineering tasks, providing local execution and control. Customizable with any LLM for enhanced autonomy, enabling developers to efficiently handle debugging to deployment tasks while preserving privacy.



A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.




Khoj is an open-source AI second brain that learns from your notes (Obsidian, EMACS), documents, and has access to the internet. It can replace your search engine, help you with reading papers, and get you transparent, fast answers.




Unleash the power of artificial intelligence right at your fingertips with Chatbox, the versatile client application seamlessly integrated across all major platforms – Windows, Mac, Linux, Web, and iOS.


Install, run & control servers, bots, databases, AI apps, terminal apps, or anything on your computer with 1 click.



Open R1 is a community-driven, open-source initiative aimed at replicating the advanced AI capabilities of DeepSeek-R1 through transparent methodologies.
Leo is an AI-powered intelligent assistant, built right into the browser. Leo can answer questions, help accomplish tasks, and more.

Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection!

AI assistant supports complex math, coding, image understanding, and reasoning with up to 128k token processing, short and long chain-of-thought tasks, visual and text input, accurate benchmarks, self-learning ability, and reinforcement learning for improvement.




The simplest way to use private LLMs: Works fully offline and private when you don’t have internet. Runs models on-device optimized for Apple silicon.






