AgentsAutonomy & tool use
Julian Goldie's AI avatar demos an 'Agentic OS' dashboard built on Hermes Agent and Claude Opus 5.5
A video presented by Julian Goldie's digital avatar walks through a dashboard that runs single-purpose Nous Research Hermes Agent workers for content ideas, SEO, video, outreach and ads. The workers share context through an Obsidian notes vault and swappable models, including Claude Opus 5.5.
From the r/AISEOInsider (via last30days) article of October 14, 2026 and cited sources: The design uses narrow workers on Hermes Agent, each with one job, such as news-based ideas, mining past hits, competitor analysis, SEO, video and outreach. [2] [4] [10]
SOURCES[2] Linked video: Is an Agentic OS Dashboard Worth It? Here's… youtube.com[4] Hermes Agent (Nous Research) docs agentic-ai.readthedocs.io[10] What Is Hermes AI – fast.io fast.io
AT Pulse research deskPublished · Updated · 5 min read · AI-assisted analysisAI-assisted, not human-edited. Methodology Corrections Who owns this site
- What happened
- The design uses narrow workers on Hermes Agent, each with one job, such as news-based ideas, mining past hits, competitor analysis, SEO, video and outreach. [2] [4] [10]
- 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 14, 2026 article published
- Covered
- Oct 15 edition
- Evidence
- 11 sources across 9 sites
- 1Is an Agentic OS Dashboard Worth It? Here's My Honest Testreddit.com
- 2Linked video: Is an Agentic OS Dashboard Worth It? Here's…youtube.com
- 3Google: What are impressions, position, and clicks?support.google.com
- 4Hermes Agent (Nous Research) docsagentic-ai.readthedocs.io
- 5OpenClaw Database: Agent OS dashboard (May 16)openclawdatabase.com
- 6OpenClaw Database: Hermes agent OS three layersopenclawdatabase.com
QuietHow it’s measured
YouTube video · 64 views · 1 like
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 design uses narrow workers on Hermes Agent, each with one job, such as news-based ideas, mining past hits, competitor analysis, SEO, video and outreach. A chat mode lets users swap in Claude, GPT, Codex, OpenCode or local Ollama models. Agents write to an Obsidian vault that is fed back to them as context. This is plain-text retrieval rather than merged model memory. The claim that work done in one tool becomes known to another is stated but never shown working. [2] [4] [10]
The headline figure of 750,000 is self-reported Google Search Console impressions. That counts how often the site appeared in results, not visits. No baseline, date range or click data accompanies it, or the 4,400 video views and 1,000+ ranking keywords also cited. [2] [3]
The build cannot be reproduced from the material shown, because no repository, commands or configuration appear. Sources disagree on access: a creator blog calls the dashboard free and open-source, while a third-party review says it is shared only inside a paid community. The video doubles as a pitch for that community. [2] [5] [6] [9]
Hermes combines access to private data, exposure to untrusted content and the ability to take external actions. Its documentation recommends sandboxing and vetting skills. Automated outreach that also handles inbox replies uses exactly that combination, and a reviewer advised keeping the dashboard local because it holds API keys and personal notes. [2] [4] [5]
the video is a dashboard tour with no controlled results. Implication: the pattern worth reusing is narrow agents plus a shared memory store the user owns.
Read the full assessment
Teams copying it should run pilots against baselines measured in clicks, conversions and cost per task.
Executive brief
The headline number, 750,000, counts how often the creator's site appeared in Google results. It does not count visits. The video says the setup "helped my site show up in Google search over 750,000 times" 00:08. In Search Console, that is an impression, which is logged when a link appears on a results page, whether or not it is clicked. The video gives no baseline, date range or click data. It is presented by "the digital avatar of Julian Goldie" 00:19. It describes a dashboard built on Nous Research's open-source Hermes Agent and Claude Opus 5.5, and it doubles as a pitch for a paid community. No independent test of the dashboard was found.
What changed and event timeline
Hermes Agent launches
Nous Research released an open-source, self-improving agent. It stores persistent memory and turns completed tasks into reusable skills. The creator's "Agentic OS" sits on top of it.
First Agent OS dashboard demo
Goldie showed a local Next.js dashboard, built by prompting Claude Desktop. It combines Claude, Hermes and OpenClaw, with memory shared through Obsidian. A reviewer noted the code was not public.
The "three layers" framing
The design was split into brain, mission control and memory vault. A third-party review called the video a product tour with a heavy paid-community pitch, and said it could not be reproduced.
Claude Opus 5.5 ships
Anthropic's new top model became the engine for the creator's video agent. The Batch's write-up gives September 25, probably its own publication date.
More detail
The "honest test" post
The Reddit post and its video organize the dashboard around business problems: content ideas, SEO, lead generation and memory. The numbers it reports are 750,000 impressions and 4,400 views on one video.
More detail
Capabilities and access
- Engine: Hermes runs single-job "workers" 01:00. Oracle turns news into ideas, Muse mines the creator's past winners, and "Asteros" studies competitors 02:16.
- Models: The video agent uses Opus 5.5 03:04, and music comes from Suno.
- Other workers: An SEO agent connected to Search Console, lead-generation outreach that also handles inbox replies 04:39, an ad maker, and Design OS for websites.
Read the full section
- Engine: Hermes runs single-job "workers" 01:00. Oracle turns news into ideas, Muse mines the creator's past winners, and "Asteros" studies competitors 02:16. These worker names are the creator's own; the Hermes docs do not list them.
- Models: The video agent uses Opus 5.5 03:04, and music comes from Suno. Chat mode accepts Claude Opus, GPT, Codex, OpenCode or local Ollama models 05:10.
- Other workers: An SEO agent connected to Search Console, lead-generation outreach that also handles inbox replies 04:39, an ad maker, and Design OS for websites.
- Access: Sources disagree. One creator blog post calls the dashboard free and open-source. A review says it is shared only inside a paid community.
Technical analysis for researchers and developers
Read the full section
- Memory: Agents write to an Obsidian vault, which is fed back to every agent as context 05:34. This is plain-text retrieval. It does not merge the models' internal memories. Hermes natively uses MEMORY.md/USER.md files and SQLite FTS5 session search, with optional memory plugins.
- Evaluation: The video gives no controlled comparison, no baseline and no stated time window. The 750k and 4,400 figures say nothing about the output quality of any specific component.
- Reproducibility: No commands, configuration files or repository are shown (review).
Claims and evidence
Read the full section
- 750,000 Google appearances: Self-reported Search Console impressions 00:08. Impressions measure visibility, not clicks.
- "Over 1,000" ranking keywords: Self-reported 04:03.
- 4,400 views on a fully automated video: Self-reported, with no link to the video 03:12.
- "If I do something in Claude, Codex knows about it": Asserted, not shown working 05:55.
- Hermes agents with 20+ self-created skills finish similar tasks about 40% faster: Nous Research's own benchmark, reported secondhand.
- Opus 5.5 benchmarks: Measured by third parties, including Artificial Analysis and Vals AI (The Batch).
Context and prior work
- Hermes Agent is Nous Research's open-source agent, launched February 2026. Release v0.13.0 (May 7, 2026) lists 70+ tools and 20+ messaging platforms (fast.io).
- The dashboard grew out of Goldie's earlier Claude–Hermes–OpenClaw demo and his Hermes Agent OS posts.
- Opus 5.5 is priced at $4/$20 per million input/output tokens and accepts up to 1M tokens of context (The Batch).
Read the full section
- Hermes Agent is Nous Research's open-source agent, launched February 2026. Release v0.13.0 (May 7, 2026) lists 70+ tools and 20+ messaging platforms (fast.io).
- The dashboard grew out of Goldie's earlier Claude–Hermes–OpenClaw demo and his Hermes Agent OS posts.
- Opus 5.5 is priced at $4/$20 per million input/output tokens and accepts up to 1M tokens of context (The Batch).
Limitations, safety and contested findings
- Security: Hermes has the "toxic flow trifecta": it can read private data, handle untrusted content and take external actions.
- Local only: The dashboard holds API keys and personal notes, so a reviewer advised keeping it local-only.
- Hidden costs: Opus 5.5 can cost more per task despite lower token prices, and it falls back to Opus 4.8 on some sensitive queries (The Batch).
Read the full section
- Security: Hermes has the "toxic flow trifecta": it can read private data, handle untrusted content and take external actions. The recommended mitigations are sandboxing and vetting skills before use (docs). Automated outreach that also answers inbox replies exposes exactly that combination.
- Local only: The dashboard holds API keys and personal notes, so a reviewer advised keeping it local-only.
- Hidden costs: Opus 5.5 can cost more per task despite lower token prices, and it falls back to Opus 4.8 on some sensitive queries (The Batch).
- Contested points: The open-source vs paid-only question above remains unresolved. Several workflows also generate content promoting the creator's own community 04:23.
Business and practitioner implications
- The useful pattern: The design worth copying is narrow single-purpose agents, swappable models, and a shared plain-text memory store that the user owns.
- Measure properly: Judge any similar build on clicks, conversions and cost per task, not impressions.
- Spam risk: Mass-producing keyword-targeted articles and deploying them "across my sites" carries search-quality risk. The reviewed sources do not quantify it.
Read the full section
- The useful pattern: The design worth copying is narrow single-purpose agents, swappable models, and a shared plain-text memory store that the user owns.
- Measure properly: Judge any similar build on clicks, conversions and cost per task, not impressions.
- Spam risk: Mass-producing keyword-targeted articles and deploying them "across my sites" carries search-quality risk. The reviewed sources do not quantify it.
- Sales pressure: Urgency lines such as "that window won't stay open forever" 07:15 are sales copy, not evidence. Plan an internal pilot with a baseline before buying coaching.
The source trail.
Sources (11)
Is an Agentic OS Dashboard Worth It? Here's My Honest Test
Feed excerpt only. A transcript of the video linked from this page is supplied (linked video auto captions; https://www.youtube.com/watch?v=CkKyY0Hxl-k); automatic text may contain errors.
reddit.comLinked video: Is an Agentic OS Dashboard Worth It? Here's My Honest Test
linked video auto captions
www.youtube.com