The DIY Revolution: ETH Zurich’s CyberRunner – A Breakthrough in Robotics for Everyone
The research team at ETH Zurich has achieved a groundbreaking success in the field of...
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Tag: Cheating Prevention
- Sovereign AI in the Home Network: Running the Hermes Agent Dashboard Securely as a systemd Service
My Hermes Agent has been running productively on my application server for several weeks: as a Telegram gateway, with a connected MCP server for GPU monitoring, and with a few cron jobs for daily background tasks. So far, I’ve configured everything via the CLI and directly in ~/.hermes/config.yaml. That works wonderfully, but it’s not always… Read more: Sovereign AI in the Home Network: Running the Hermes Agent Dashboard Securely as a systemd Service - An MCP Server for Multi-GPU Monitoring – Step by Step with Python, pynvml and EMA Smoothing
In my last posts I built the inference layer (Ollama, TensorRT-LLM) and the orchestrator layer (NeMo Agent Toolkit) on my application server in combination with my AI server. What’s been missing is a meaningful bridge between these server layers and the world of embedded devices in my workshop. That was the moment I took a… Read more: An MCP Server for Multi-GPU Monitoring – Step by Step with Python, pynvml and EMA Smoothing - Keeping ESP-Claw Up to Date — Update, Rebuild and Re-Flash on the Guition JC1060P470
After I showed you in Part 4 of my ESP-Claw series how I got my ESP-Claw agent talking to my local Ollama server for the first time, things settled down for a while. My Guition JC1060P470 is running, talking to Qwen 3.6 35B on my RTX A6000 GPUs, and doing exactly what it should. But… Read more: Keeping ESP-Claw Up to Date — Update, Rebuild and Re-Flash on the Guition JC1060P470 - NeMo Agent Toolkit – Multi-Agent Supervisor-Pattern local
After my last post, where I dissected the ReAct loop in detail and built the first custom GPU status tool, the next logical step follows: multi-agent orchestration with the supervisor pattern. Several specialized ReAct agents, each with its own toolset and its own identity, coordinated by an overarching supervisor agent. This is the point where… Read more: NeMo Agent Toolkit – Multi-Agent Supervisor-Pattern local - NeMo Agent Toolkit – GenAI Agent Orchestrierung lokal
Agent-Orchestrierung ist konzeptionell genau der Sprung, der aus „LLM-Inferenz” tatsächlich „intelligente Anwendungen” macht. Ein funktionierendes NAT-Setup mit Ollama habe ich mir wie in meinem Blogbeitrag hier “NeMo Agent Toolkit auf der RTX A6000 Ada – vom Inferenz-Layer zum Orchestrator-Layer” beschrieben bereits aufgesetzt. Jetzt möchte ich schrittweise von der Basis bis zu komplexen Multi-Agent-Mustern das Vorgehen… Read more: NeMo Agent Toolkit – GenAI Agent Orchestrierung lokal
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…