Self-Hosted AI
Self-hosted AI treats deployment as the deciding dimension: running models, apps, or agent platforms on your own servers — weighing data control, cost, and ops burden to judge whether the effort is worthwhile.
Self-hosted AI treats deployment as the deciding dimension: running models, apps, or agent platforms on your own servers — weighing data control, cost, and ops burden to judge whether the effort is worthwhile.
Tabby is often the first name teams look at when they want a coding assistant whose code never leaves the internal network. It is a self-hosted AI cod...
Nous Research's open-source agent Hermes has landed funding that changes how it can play. On October 7, 2026, Nous Research announced a $90 million Se...
Docling tackles the most underestimated hurdle before feeding PDFs to a large model: layout. Ordinary extractors dump a PDF in character order, so two...
Crawl4AI is an open-source Python library that turns web pages into clean Markdown, tackling the dirty step before web content reaches a large model: ...
Khoj has a clear ambition: turn the documents, notes and web pages scattered across your computer into a personal knowledge base you can simply ask qu...
LibreChat brings model entry points scattered across providers into a single interface, solving the problem of repeatedly switching between web pages,...
whisper.cpp suits people who want to transcribe audio offline on their own computer without setting up a Python environment, especially for meeting re...
MarkItDown is an open-source file-to-Markdown tool from Microsoft built to solve a practical problem: large language models struggle with messy docume...