hermes

An AI coding agent called Opencode that can run with a local model through LM Studio or with several cloud AI providers. It can be told to work on tasks such as writing code, refactoring, or adding tests.

In plain words
What is it for?
Use it to run coding prompts, choose a model, switch between local and cloud execution, refactor code, and add tests.
Why use it?
It provides one command for running coding tasks with either a local model or a selected cloud provider. It can detect a provider from configured environment variables and can be forced to stay local.

Agent

Install

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.

agentmods
npx agentmods add agents/boldblackai/harness/hermes
Clone the repo
git clone --depth 1 https://github.com/boldblackai/harness
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 343 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00343
Opus 5 $0.00000 $0.00171
Sonnet 5 $0.00000 $0.00069
Haiku 4.5 $0.00000 $0.00034

Measured 2d ago against content hash c7aa68d88085, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

docs/agents/hermes.md · 38 lines

What it actually says

hermes

hermes by NousResearch is a full-featured agent supporting many providers. It is the recommended choice for long-running "claw" deployments.

Local mode

npx @boldblackai/harness -a hermes -p "add tests"

LM Studio context length should be at least 64k tokens.

Cloud mode

Pass --env-file to enter cloud mode — the agent auto-detects the provider from env vars.

echo "ANTHROPIC_API_KEY=sk-ant-***" > .env
npx @boldblackai/harness -a hermes -e .env -p "add tests"
npx @boldblackai/harness -a hermes -e .env -m openrouter/auto -p "add tests"

Common keys: ANTHROPIC_API_KEY, OPENROUTER_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY. See full list.

The -m flag takes provider/model format.

Deploying as a claw

Hermes can be deployed as a long-running persistent agent ("claw") reachable over a messaging gateway like Telegram. See the deployment guides:

Changes

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.

  1. 2d ago First seen · 38 lines · 0 tokens per session scan A c7aa68d88085

Subscribe to this mod's changes

hermes is an agent published in the GitHub repository boldblackai/harness (10 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 343 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 2026-08-31.