Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/zorost/ai-engineering-lab/hermesgit clone --depth 1 https://github.com/zorost/AI-Engineering-LabWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/zorost/ai-engineering-lab/hermes)<a href="https://agentmods.dev/agents/zorost/ai-engineering-lab/hermes"><img src="https://agentmods.dev/badge/agents/zorost/ai-engineering-lab/hermes.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.03192 |
| Opus 5 | $0.00000 | $0.01596 |
| Sonnet 5 | $0.00000 | $0.00638 |
| Haiku 4.5 | $0.00000 | $0.00319 |
Grade A, and why
hermes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes: Model Family vs. Agent Framework
Part of AI Engineering Lab · Developed by Zorost Intelligence AI Lab · zorost.com
"Hermes" is overloaded, and getting it wrong causes real confusion. In an agents context it refers to two related-but-distinct things from Nous Research:
- Hermes: the open-weight model family (the "brain" you download and run).
- Hermes Agent: the agent framework (the runtime that uses a model).
This guide covers both, clearly labeled, then shows how to run Hermes models locally and use one as your ZoroLogistics triage-agent brain.
Note on fast-moving facts. Model sizes, base architectures, and licenses change as new generations ship. Everything marked "verify against live docs" should be checked against the model cards and repos before citing.
Part A: Hermes, the open-weight model family
Nous Research's Hermes models are instruction-tuned, open-weight LLMs strongly oriented toward instruction-following, function/tool calling, and agentic use, plus a reputation for strong roleplay/character and long-form generation.
A.1 The generations
- Hermes 2 (early 2024), a broad family across several bases (Llama 3, Mistral, Mixtral, Yi). The "Hermes 2 Pro" line added reliable function calling and JSON/structured-output modes.
- Hermes 3 (Aug 2024), instruction-tuned on Llama 3.1 (8B, 70B, 405B); marketed for function calling, structured outputs, roleplaying, and long context, using the ChatML format (Hermes-3-Llama-3.1-405B).
- Hermes 4 (late 2025), the current generation: 14B and 70B, built on Qwen3 bases, licensed Apache 2.0, with a "hybrid mode" reasoning toggle and strong agentic/function-calling orientation (Hermes-4-14B, Hermes-4-70B).
Verify the current Hermes 4 sizes, base model, and license against the live model cards, these are exactly the fast-moving facts that drift between generations.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 255 lines · 0 tokens per session scan A f5cfdece6e49
hermes is an agent published in the GitHub repository zorost/AI-Engineering-Lab (304 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,192 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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