Oct 30 edition/Reporting & analysis
AgentsBusinessSafety

AgentsAutonomy & tool use

Julian Goldie promotes a paid 10-tab 'Agent OS' built on Nous Research's open-source Hermes Agent

Julian Goldie is selling a ten-tab 'Agent OS' through his paid AI Profit Boardroom community. It wraps Nous Research's free, MIT-licensed Hermes Agent, and much of what it shows, such as goal loops, model mixtures and scheduled bots, already exists upstream.

From the r/AISEOInsider (via last30days) article of October 30, 2026 and cited sources: The 'Hermes Jarvis Agent OS' is not a Nous Research product. [3] [4] [5]

SOURCES[3] Linked video: My Hermes Jarvis Agent OS Has 10 Tabs That… youtube.com[4] Julian Goldie: Hermes Agentic Operating System aisuccesslabjuliangoldie.com[5] NousResearch/hermes-agent (GitHub) github.com

AI-assisted, not human-edited. Methodology Corrections Who owns this site

KEY FACTS
What happened
The 'Hermes Jarvis Agent OS' is not a Nous Research product. [3] [4] [5]
Original source
r/AISEOInsider (via last30days) article, independent perspective
Brief by
AT Pulse research desk AI-assisted; publisher and contact on the desk page
When
October 30, 2026 article published
Evidence
14 sources across 12 sites
28/100RisingHow it’s measured

YouTube video · 1.6K views · 21 likes

Reach blends public engagement (views, likes, comments, shares, stars) from the platforms where the story or its original source lives: YouTube, Hacker News, GitHub, Substack and similar. A video and the article written from its transcript share one score, taken from the video. Platforms with no data are left out rather than counted as zero, and the age of a story never lowers its score.

THE CORE IDEAS3 TAKEAWAYS
01

The 'Hermes Jarvis Agent OS' is not a Nous Research product. It is a paid interface layer sold inside Goldie's AI Profit Boardroom, and it runs on the free, MIT-licensed Hermes Agent framework. The video does not name a version, repository or license for the wrapper. [3] [4] [5]

02

Several of the tabs closely resemble features already in the open-source project: standing-goal loops, Mixture-of-Agents presets, cron-scheduled subagents and MCP plugins. The video says goal mode runs for up to 50 rounds, while the upstream /goal command defaults to a configurable 20-turn cap and uses a judge model to decide when a goal is done. [3] [5] [6] [8] [10]

03

The pitch of bots working overnight and goals running for hours conflicts with security guidance. NeuralTrust counts 12 Hermes CVEs in 2026, including a critical MCP catalog supply-chain flaw fixed in version 0.19.0. Reviewers recommend limited permissions and human approval gates rather than leaving the agent unattended. [3] [9] [14]

WHY IT MATTERS

The reviewed sources show the core pieces are free upstream and that Hermes logged 12 CVEs in 2026. Implication: buyers should work out what the wrapper adds, run version 0.19.0 or later, and keep human approval on autonomous and outbound actions.

Executive brief

The "Hermes Jarvis Agent OS" is not a Nous Research product. It is a paid wrapper sold through Julian Goldie's AI Profit Boardroom community (Goldie blog), built on top of Nous Research's free, MIT-licensed Hermes Agent. Several features shown in the video, including goal loops, multi-model "mixture" and scheduled bots, closely resemble features already in the open-source project. The video's figure of "up to 50 rounds" also differs from the official /goal default of 20 turns (Hermes docs). No independent test of the wrapper exists, and Hermes itself has a record of CVEs.

What changed and event timeline

  1. Hermes Agent launches

    Nous Research released the open-source agent framework. A DEV Community review reports it reached about 95.6K GitHub stars within seven weeks ().

  2. /goal merged

    A standing-goal command keeps the agent working across turns until the goal is done, paused or out of turn budget. It adapts the "Ralph loop" pattern from OpenAI's Codex CLI (;).

  3. Critical CVE disclosed

    CVE-2026-82021 (CVSS 9.0), a supply-chain flaw in the bundled MCP catalog, was fixed in version 0.19.0 ().

  4. "Agent OS" promoted

    Goldie's video presents ten tabs wrapped around Hermes and sends viewers to a paid community (;).

Capabilities and access

  • It works with any model (Nous Portal, OpenRouter, OpenAI, custom endpoints) and supports MCP, a cron scheduler, subagents, and messaging over Telegram, Slack, WhatsApp, Signal and email (GitHub).
  • Wrapper tabs shown in the video: Apollo voice orb, bot teams, lead generation, Obsidian memory, goal mode, Oracle news, talk/phone, Mixture, MCP/plugins, and a workspace (video).
  • Access: sold inside the AI Profit Boardroom (video). The video names no version, repository or license for the wrapper.
Read the full section
  • Base engine: Hermes Agent, MIT license. It works with any model (Nous Portal, OpenRouter, OpenAI, custom endpoints) and supports MCP, a cron scheduler, subagents, and messaging over Telegram, Slack, WhatsApp, Signal and email (GitHub).
  • Wrapper tabs shown in the video: Apollo voice orb, bot teams, lead generation, Obsidian memory, goal mode, Oracle news, talk/phone, Mixture, MCP/plugins, and a workspace (video).
  • Access: sold inside the AI Profit Boardroom (video). The video names no version, repository or license for the wrapper.

Technical analysis for researchers and developers

  • Goal mode: In upstream Hermes, a judge model returns done, blocked, continue or wait after each turn.
  • Mixture: The video describes several models drafting answers and one model merging them (video).
  • Memory: Upstream Hermes keeps compact MEMORY.md and USER.md files and searches past sessions (DEV Community). The wrapper instead writes every chat into Obsidian (video).
Read the full section
  • Goal mode: In upstream Hermes, a judge model returns done, blocked, continue or wait after each turn. It counts a goal as done only when the response says so explicitly. If the judge errors, the loop treats it as continue. The default cap is 20 turns, set in goals.max_turns (Hermes docs). The video's "50 rounds" is presumably a configured value (video).
  • Mixture: The video describes several models drafting answers and one model merging them (video). This matches upstream Mixture-of-Agents presets, which are offered as "virtual models" (CO/AI).
  • Memory: Upstream Hermes keeps compact MEMORY.md and USER.md files and searches past sessions (DEV Community). The wrapper instead writes every chat into Obsidian (video).

Claims and evidence

  • "Nothing leaves your machine" (video). This holds only for where the notes are stored.
  • Lead generation never sends anything without approval (video). This is reported only by the seller. No other source corroborates it.
  • Nous Research reports gains on its own unreleased HermesBench (CO/AI). The figures are vendor-reported and not reproducible yet.
Read the full section
  • "Nothing leaves your machine" (video). This holds only for where the notes are stored. If the agent uses hosted models such as Claude, prompts are still sent to those providers. That last point is an inference, not something the sources state.
  • Lead generation never sends anything without approval (video). This is reported only by the seller. No other source corroborates it.
  • Mixture-of-Agents beats single frontier models. Nous Research reports gains on its own unreleased HermesBench (CO/AI). The figures are vendor-reported and not reproducible yet.
  • Bots handing work to each other overnight (video). Shown only as a demo, with no logs or measurements.

Context and prior work

  • Hermes comes from the team behind Nous Research's long-running Hermes fine-tuned model series. The company was founded in 2023 (Hermes Agent about).
  • Building an "agent OS" around Hermes is a crowded niche. Other public guides combine Hermes with Obsidian, Kanban boards and Paperclip (guide; GrowwStacks).
  • The /goal loop pattern came from Codex CLI (Hermes docs).
Read the full section
  • Hermes comes from the team behind Nous Research's long-running Hermes fine-tuned model series. The company was founded in 2023 (Hermes Agent about).
  • Building an "agent OS" around Hermes is a crowded niche. Other public guides combine Hermes with Obsidian, Kanban boards and Paperclip (guide; GrowwStacks).
  • The /goal loop pattern came from Codex CLI (Hermes docs).

Limitations, safety and contested findings

  • NeuralTrust counts 12 Hermes CVEs in 2026. Its main advice is that the operating system, not the agent, has to be the security boundary.
  • Reviewers recommend limiting permissions and adding human approval gates instead of leaving the agent unattended (fast.io).
  • The upstream memory files are small, and reviewers report that filling them triggers repeated consolidation work (DEV Community).
Read the full section
  • NeuralTrust counts 12 Hermes CVEs in 2026. They include ways to bypass the memory and skill scanners, missing authentication on API and webhook endpoints, and storage that any local user can read (NeuralTrust). Its main advice is that the operating system, not the agent, has to be the security boundary.
  • Reviewers recommend limiting permissions and adding human approval gates instead of leaving the agent unattended (fast.io). The video's pitch of overnight bots and multi-hour goals (video) runs against that advice.
  • The upstream memory files are small, and reviewers report that filling them triggers repeated consolidation work (DEV Community).

Business and practitioner implications

  • Most of the core pieces (goal loops, multi-model mixture, scheduled subagents, MCP) are free upstream.
  • Automated lead scraping and cold email bring legal and deliverability risk. Keep the approval gate the video describes.
  • Run on version 0.19.0 or later, sandbox shell and credential access, and treat third-party plugin catalogs as a supply-chain risk (NeuralTrust).
Read the full section
  • Most of the core pieces (goal loops, multi-model mixture, scheduled subagents, MCP) are free upstream. Before paying, check what the wrapper actually adds beyond the voice and phone interface and the UI.
  • Automated lead scraping and cold email bring legal and deliverability risk. Keep the approval gate the video describes.
  • Run on version 0.19.0 or later, sandbox shell and credential access, and treat third-party plugin catalogs as a supply-chain risk (NeuralTrust).
FOLLOW THE EVIDENCE

The source trail.

Sources (14)
A LITTLE LESS NOISE. A LOT MORE CONTEXT.

Stay curious.
Follow the evidence.

Independent perspectives, the original sources, and room for the questions that don't have easy answers.

How we build the brief
Connect with us

Find us where you already read.