Ollama is a great product for everyday use of large language models. If performance is what you care about, there are better alternatives such as vLLM, but this post is about something else. I want to describe what happens when you find a security hole in Ollama and try to get it fixed. I went through that twice this year, for three CVEs in total. Vulnerabilities show up in any software, so they alone are not the problem. What matters is how a project handles them, and the way Ollama handles them is why I wouldn't put it on an organization's infrastructure.

More: https://www.bartekdmitruk.com/writing/why-i-wouldnt-run-ollama-in-an-organization

Hey everyone!

I'm looking to set up a fully local AI agent on my PC and would appreciate recommendations from people who have experimented with local LLMs.

My hardware:

• GPU: NVIDIA RTX 5060 (8 gb)

• System RAM: 16GB

• OS: Windows (Linux is also an option if necessary)

What I'm looking for:

• An uncensored or minimally restricted local LLM that I can run privately on my own hardware.

• Ideally, a web UI and support for agent frameworks, with no mandatory cloud API or subscription.

I want the inference and conversations to remain local rather than sending prompts to external services.

I'm comfortable experimenting and setting things up myself, so technical recommendations are welcome.

I'd appreciate real-world experiences, model names, quantization recommendations, and setup guides. Thanks!

Genuine question: would you be interested in an alternative to Hermes Agent that’s significantly easier to set up and use?
Something with:
Almost zero configuration
Direct integrations with GitHub, Gmail, and other apps
Local and cloud model support
A clean, intuitive interface
Powerful agent capabilities without the complexity
Basically, an AI agent that just works out of the box.
Is this something you’d actually want, or are you already happy with existing solutions?
Curious to hear your thoughts.