AnythingLLM vs Stellaris AI

AnythingLLM is a private AI assistant that runs entirely on your computer, offering full control and privacy without requiring accounts, API keys, or internet connectivity. It supports MacOS, Linux, and Windows with a simple one-click installation. The tool allows you to select from various large language models or lets the system recommend the best model based on your hardware.

It integrates multiple document types into its knowledge base, enabling research, workflow building, and chat with documents all locally. Designed for both individual and team use, AnythingLLM supports multi-user environments with full tenant isolation and fine-grained admin controls. It also features tools like meeting transcription and summarization, web scraping, dynamic model selection, and custom agent skills, all running on-device to ensure data privacy.

The platform is open-source, MIT licensed, and can be self-hosted or used via cloud hosting with options for white-labeling and custom integrations.

Stellaris AI builds large language models marketed around native safety and human-like reasoning for real-world tasks. Its flagship SGPT line targets text and code generation, knowledge Q&A, logical reasoning, and analytics at a scale the company describes as hundreds of billions of parameters. The public site centers on a waitlist for SGPT-4.5 rather than a self-serve chat product you can open today.

Where many LLM labs bolt safety filters on after training, Stellaris AI frames safety as part of the model stack through strict source referencing and harm minimization in the architecture. It also highlights Real-time Context Learning (RCL) for adapting answers with live knowledge, a combination aimed at teams that want cited outputs instead of unchecked generation.

Researchers, enterprise AI teams, and early adopters join the SGPT-4.5 waitlist for first access. The company cites 10+ years of research and three core product pillars: Stellaris GPT, Native Safety, and RCL.