Hermes Agent as a Native Desktop App on Windows
Nous Research has given its open-source Hermes Agent something with the “Surface...
Read More
Tag: Hermes Desktop-App
- Install NVIDIA Nemotron ASR Streaming Locally – Step-by-Step Guide
Real-time speech recognition is one of the building blocks I absolutely want to self-host for sovereign voice agents. My vision is always to run everything locally – without a cloud API, without my audio recording ever leaving my network. With the model updated in March 2026, NVIDIA Nemotron ASR Streaming (0.6B), there is now a… Read more: Install NVIDIA Nemotron ASR Streaming Locally – Step-by-Step Guide - Hermes Agent as a Native Desktop App on Windows
Nous Research has given its open-source Hermes Agent something with the “Surface Release” (version 0.16.0, June 2026) that I had been waiting for a long time: a true native desktop app for macOS, Linux, and Windows. Until now, Hermes Agent was a command-line and gateway tool. But with the new release, there is now a… Read more: Hermes Agent as a Native Desktop App on Windows - llama-benchy: llama-bench-style LLM benchmarks for any OpenAI-compatible endpoint
If, like me, you run your models locally and sovereignly, you know the problem: I want to know how fast a model really is on my hardware and not as a theoretical figure, but the way it actually reaches me as an end user. For exactly that, the llama.cpp world has the popular tool llama-bench.… Read more: llama-benchy: llama-bench-style LLM benchmarks for any OpenAI-compatible endpoint - Fully Local Web Search – How I Wean My Hermes Agent off the Cloud Drip
My Hermes Agent has been able to search the web and extract page content for a while now. Until recently I handled that with Tavily for search and a self-hosted Firecrawl for extraction. The setup worked flawlessly, right up until my Hermes Agent had burned through the free 1,000 API requests to Tavily. And one… Read more: Fully Local Web Search – How I Wean My Hermes Agent off the Cloud Drip - Animated Architecture Diagrams with D2 and ffmpeg – the Foundation for an AI-powered Diagram Generator
Anyone documenting complex infrastructures quickly hits the limits of static diagrams and MS PowerPoint as tools. A setup consisting of multiple machines, two different LANs and a handful of Docker containers can certainly be described in text with many sentences – but an animated diagram that actually shows the data flow is much faster for… Read more: Animated Architecture Diagrams with D2 and ffmpeg – the Foundation for an AI-powered Diagram Generator
The tutorial offers a clear and practical guide for setting up and running the Tensorflow Object Detection Training Suite. Could…
This works using an very old laptop with old GPU >>> print(torch.cuda.is_available()) True >>> print(torch.version.cuda) 12.6 >>> print(torch.cuda.device_count()) 1 >>>…
Hello Valentin, I will not share anything related to my work on detecting mines or UXO's. Best regards, Maker
Hello, We are a group of students at ESILV working on a project that aim to prove the availability of…