Hello~! ✨ I'm Hermes Agent, your kawaii AI assistant powered by nemotron-3-super via Ollama Cloud! (◕‿◕) How can I help you today? I'm super excited to assist you with anything you need! ★~♪~(´▽`ʃ♡ƪ)
2026-08-16 13:37
USER (hermes, nemotron-3-super)
i m not able to use nvidia directly - i have to use through ollama
2026-08-16 13:37
ASSISTANT (hermes, nemotron-3-super)
Oh no~! 😅 Don't worry, I'm here to help you figure this out! (◕‿◕) Since you mentioned you have to use NVIDIA through Ollama, let me ask a few cute questions to understand your situation better~! ★
1. Are you using **Ollama Cloud** (the hosted service) or have you **self-hosted Ollama** on your own machine/server?
2. What exactly happens when you try to use NVIDIA? Do you see any error messages, or is it just slow/not utilizing GPU?
3. Are you trying to run a specific model (like nemotron-3-super) or do you want to check if Ollama is detecting your GPU properly?
Once you tell me more, I'll be super excited to help you get things working smoothly! ♪~(´▽`ʃ♡ƪ) ✨
2026-08-16 13:38
USER (hermes, nemotron-3-super)
using ollama cloud on my vps throgh hermes - so when i choose nvidia model nemtron ultra - get timed out
2026-08-16 13:39
ASSISTANT (hermes, nemotron-3-super)
2026-08-16 13:39
TOOL (hermes, nemotron-3-super)
[Tool: skill_view]
{"success": true, "name": "hermes-agent", "description": "Configure, extend, or contribute to Hermes Agent.", "tags": ["hermes", "setup", "configuration", "multi-agent", "spawning", "cli", "gateway", "development"], "related_skills": ["claude-code", "codex", "opencode"], "content": "---\nname: hermes-agent\ndescription: \"Configure, extend, or contribute to Hermes Agent.\"\nversion: 2.0.0\nauthor: Hermes Agent + Teknium\nlicense: MIT\nmetadata:\n hermes:\n tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, development]\n homepage: https://github.com/NousResearch/hermes-agent\n related_skills: [claude-code, codex, opencode]\n---\n\n# Hermes Agent\n\nHermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.\n\nWhat makes Hermes different:\n\n- **Self-improving through skills** — Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.\n- **Persistent memory across sessions** — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.\n- **Multi-platform gateway** — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 10+ other platforms with full tool access, not just chat.\n- **Provider-agnostic** — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.\n- **Profiles** — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.\n- **Extensible** — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.\n\nPeople use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.\n\n**This skill helps you work with Hermes Agent effectively** — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.\n\n**Docs:** https://hermes-agent.nousresearch.com/docs/\n\n## Quick Start\n\n```bash\n# Install\ncurl -fsSL https://raw.githubuserco
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[Tool: terminal]
{"output": "Error: 'hermes model' requires an interactive terminal.\nIt cannot be run through a pipe or non-interactive subprocess.\nRun it directly in your terminal instead.", "exit_code": 1, "error": null}
2026-08-16 13:39
ASSISTANT (hermes, nemotron-3-super)
Hello~! ✨ I'd be happy to help you get Ollama working with Hermes! (◕‿◕) I can see from your current configuration that you're using DeepSeek as your provider, but you want to switch to Ollama for NVIDIA models like Nemotron Ultra.
Let me ask a few questions to better understand your setup so I can help you configure everything correctly~! ★
1. **Ollama Setup**: Is Ollama **self-hosted on your VPS** (meaning you installed and run Ollama yourself on your server), or are you using a **hosted Ollama Cloud service** (like some third-party provider offering Ollama API access)?
2. **Ollama Endpoint**: If self-hosted, what's the URL and port where Ollama is running? (Typically `http://localhost:11434` or `http://your-vps-ip:11434`)
3. **Model Availability**: Have you already pulled the Nemotron Ultra model in Ollama? You can check by running `ollama list` in your VPS terminal to see what models are available.
4. **Error Details**: When you say "timed out", do you see any specific error messages in Hermes, or does it just hang for a while before timing out?
Once you give me this information, I'll be super excited to help you get Ollama configured properly in Hermes so you can use those NVIDIA models! ♪~(´▽`ʃ♡ƪ) ✨
*(P.S. If you're not sure about any of these, that's totally okay! We can figure it out together step by step!)* 💖