No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by outsourc-e · Codex Skill · ★ 6.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hermes-workspace safe to install? View the security audit →
Hermes Workspace Your AI agent's command center — chat, files, memory, skills, and terminal in one place. Not a chat wrapper. A complete workspace — orchestrate agents, browse memory, manage skills, and control everything from one interface. v2 — zero-fork. Clone, don't fork. Runs on vanilla installed via Nous's own installer. Chat, sessions, memory, skills, jobs, MCP, terminal, dashboard, Agent View, and Operations are all in vanilla parity. Conductor uses the dashboard mission API when available and falls back to Workspace-native Swarm dispatch () when the dashboard endpoint is absent, preserving zero-fork behavior (#262). Swarm Mode Hermes Agent Swarm turns the workspace int
| Stars | 6,661 |
| Forks | 1,052 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.9860905462728/100 |
| Open Issues | 163 |
| Last Updated | 2026-09-10 |
| Created | 2026-03-16 |
| Platforms | browser, node |
| Est. Tokens | ~21k |
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hermes-workspace is Native web workspace for Hermes Agent — chat, terminal, memory, skills, inspector.. It is categorized as a Codex Skill with 6.7k GitHub stars.
hermes-workspace is primarily written in JavaScript. It covers topics such as agent-ui, ai-workspace, hackathon.
You can find installation instructions and usage details in the hermes-workspace GitHub repository at github.com/outsourc-e/hermes-workspace. The project has 6.7k stars and 1052 forks, indicating an active community.
hermes-workspace is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hermes-workspace on Agent Skills Hub include sim, ai, dyad. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: