Hermes Bench D
AI benchmark · Agentic
What is Hermes Bench?
Tests agents on 150 tasks across 25 categories, including Hermes skills, research, diagrams and art, memory, tool use and safety. Each agent starts in a workspace with real files, some tasks add follow-up turns, and the grader checks the files and state left behind.
Lineage
Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.
Included in
“Hermes Index averages model scores across four agentic benchmarks (Hermes Bench, Terminal-Bench 4.0, Terminal-Bench-Science, SkillsBench) run in the Hermes Agent harness, reporting mean score and cost per task.”
Tier D
Long tail: little or no usage data yet.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- no usage data
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: no usage data. Tier D.
- Not yet read on X.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-16 snapshot.