The argument in one line.
The new Hermes Agent desktop app makes a persistent, self-improving autonomous AI system accessible to everyday users by replacing the CLI-only interface with a native graphical environment that simplifies agent management, memory, and skill configuration.
Read if. Skip if.
READ IF YOU ARE…
- A software developer or AI enthusiast who runs local infrastructure and wants an autonomous agent that improves through long-term memory and self-refinement loops.
- Someone currently using CLI-based AI agents who needs a native desktop GUI to manage multiple agents, workflows, and memory systems without terminal commands.
- A creator or automation-focused professional who wants to delegate repetitive multi-step tasks to an AI that learns your preferences and builds reusable skills over time.
SKIP IF…
- You need a plug-and-play SaaS solution — Hermes requires local setup, GitHub cloning, and infrastructure management that assumes technical comfort.
- You're looking for a chatbot or conversational AI — Hermes is designed as a persistent autonomous agent, not a chat interface for real-time questions.
- You work primarily with proprietary AI ecosystems like OpenAI or Claude — Hermes is open-source and self-hosted, with a different architecture and capability set.
The full version, fast.
Hermes Agent is an open-source, MIT-licensed autonomous AI system from Nous Research that runs continuously on your own machine, building long-term memory, reusable skills, and a deepening model of the user through a closed learning loop that refines itself from successful task completions. The new desktop app wraps the previously CLI-only agent in a cross-platform GUI for Windows, Mac, and Linux, giving you multi-agent profiles, persona and memory management, scheduled cron jobs, tool APIs like Firecrawl and Exa, and gateway integrations to Telegram, Discord, and iMessage. Install the release binary, connect any model provider or local model, and migrate existing OpenCode configurations directly. Prioritize depth over breadth, add tool APIs early, and let the agent compound skills across sessions.
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Create a free account →Where the time goes.
00:00 – 00:13
01 · Cold open
Superlative + competitor name-drop (OpenClaw, Claude Code, Kilo) + curiosity gap, with near-black frames forcing the audio to carry.
00:13 – 00:41
02 · What Hermes is
MIT-licensed, Nous Research, runs 24/7 on your own infra, builds long-term memory, reusable skills, and deeper understanding of the user.
00:41 – 01:08
03 · Self-improvement loop
Closed learning loop creates skills from successful tasks; persistent cross-session memory; 'poncho' user modeling deepens over time.
01:08 – 01:36
04 · Hermes vs OpenClaw
Reliability, long-term memory, and self-improving loop are why users are switching. Side-by-side comparison card.
01:36 – 02:01
05 · The flex
Claims this entire video was autonomously generated by Hermes using Heygen Hyperframe skills — HTML-native video output.
02:01 – 02:26
06 · Pain reframe
Hermes was CLI-only for too long. Multi-agent management, orchestration, and memory inside a terminal is a barrier to entry.
02:26 – 03:05
07 · Desktop app reveal
Open-source native desktop app — full UI, easier multi-agent management, workflow orchestration, cross-platform (Win/Mac/Linux).
03:05 – 03:46
08 · Newsletter CTA + install
Soft mid-roll plug for the free newsletter, then walks through GitHub Releases install (dmg/AppImage/deb/rpm/exe).
03:46 – 04:28
09 · Connect to Hermes
Two options: connect to a remote Hermes API server, or 'Get Started' to install locally (2GB).
04:28 – 05:05
10 · API provider setup
Pick OpenRouter / Anthropic / OpenAI / local model / free-tier. Demos with OpenAI API key.
05:05 – 05:51
11 · UI tour: Chat / Sessions / Profiles / Office (3D)
Left-sidebar walkthrough. 'Office' is a 3D virtual workspace (Claw3D) where you can watch sub-agents collaborate.
05:51 – 07:01
12 · Models, Providers, Tools APIs
Connect multiple API providers, add tool APIs (Fal for images, Firecrawl for scraping, Exa for search).
07:01 – 07:41
13 · Skills, Personas, Memory
Skills = expandable workflows. Personas = response tone/instructions. Memory = agent knowledge base.
07:41 – 08:24
14 · Tools + Schedules + Gateway
Web search, browser use, terminal, file ops; cron-style scheduled tasks; Gateway connects to Telegram, Discord, iMessage and more for phone control.
08:24 – 09:02
15 · Migrate from OpenClaw
One-click migration: import existing OpenClaw configs, API keys, sessions, and skills directly into Hermes.
09:02 – 09:40
16 · Use case montage
Second-brain wiki, X posts, blog posts, Supabase CRM, financial analyst, app generation, ShadCN finance dashboard demo.
09:40 – 09:54
17 · Sign-off
Stacked CTA (Super Thanks, Discord, newsletter, GitHub, sub, bell, Twitter, second channel) then 'have positivity' outro to a tweet-embed reaction shot.
Lines worth screenshotting.
- Hermes is a native desktop GUI built by Nous Research on top of the Claude Code CLI, released under the MIT license with full source access.
- A native GUI wrapper over a CLI agent removes the single biggest adoption barrier for non-terminal users without changing the underlying model behavior.
- MIT licensing means you can fork, rebrand, and ship Hermes as part of a commercial product without a royalty conversation.
- Multi-agent management in a single desktop window lets you run parallel workstreams without juggling multiple terminal tabs.
- Persistent memory in a desktop agent means the tool learns your preferences across sessions instead of resetting every conversation.
- A skills layer in the desktop app converts one-off agent runs into a reusable library that grows with every new task you complete.
- Gateway integrations let a desktop agent connect to external services without requiring the user to write an MCP configuration by hand.
- Self-evolving framing in Hermes means the agent can update its own skill set based on outcomes, not just on explicit user instruction.
- The shift from CLI-only to GUI-first expands the Claude Code ecosystem to product managers, marketers, and operators who never open a terminal.
- Nous Research building on top of Anthropic's CLI instead of from scratch demonstrates that the real platform layer is the model API, not any single interface.
- A desktop agent that runs 24/7 requires a persistent process model — Hermes uses a native app runtime rather than a browser tab that can be closed.
- Open-source agent GUIs create a flywheel where community contributors add integrations faster than any single company could build them.
Steal the new-tool-drop template.
WorldofAI playbook
Eleven mechanical beats turn a GitHub release into a 10-minute monetized review — and the cold open does the heavy lifting in 13 seconds.
- Open with a superlative + three competitor names + a curiosity gap. No 'hey guys', no intro music — frames can literally be black for the first 13 seconds, voice carries it.
- Frame the differentiator as a negation: 'It's not just X' is a stronger pivot than 'It does Y, Z, W.'
- Drop a self-flex by 1:30 ('this video was made by the tool itself') — even if unverified, it earns a re-watch.
- Reframe the pain at 2:00 ('it was CLI-only and that's a barrier'). The viewer who never tried the CLI version now feels validated for skipping it.
- Install walkthrough is non-skippable for tech reviews — it converts curiosity into action while the viewer is still hot.
- Use the left-sidebar of the app as your outline. Free structure.
- Stack the CTA. Super Thanks → Discord → newsletter → GitHub → sub → bell. Yes it's exhausting; yes it works.
Terms worth knowing.
- Hermes Agent
- An open-source autonomous AI agent built by Nous Research that runs continuously on a user's own computer, building long-term memory and reusable skills that improve over time through a closed learning loop.
- Nous Research
- An AI research organization focused on open-source language models and agent frameworks, known for fine-tuned model releases and autonomous agent projects like Hermes.
- MIT license
- A permissive open-source software license that allows anyone to use, copy, modify, and distribute the software freely, including in commercial products, with minimal restrictions.
- Closed learning loop
- A system design where an agent automatically captures, evaluates, and incorporates the outcomes of its own completed tasks to refine its future behavior — learning from experience without human retraining.
- Persistent memory (AI agent)
- A mechanism that allows an AI agent to retain information about past interactions, user preferences, and completed tasks across separate sessions, building context over time rather than starting fresh each conversation.
- OpenClaw / Open Claude
- An open-source autonomous AI agent framework designed to run Claude-class capabilities locally, frequently compared to Hermes Agent for daily use-case workflows.
- CLI (Command-Line Interface)
- A text-based interface where users interact with software by typing commands in a terminal, as opposed to clicking through a graphical desktop application.
- Multi-agent orchestration
- The coordination of multiple AI agents — each handling a specific role or task — by a managing system that routes work, collects results, and sequences operations across agents.
- User modeling
- The process of building a structured representation of a specific user — their preferences, habits, and goals — so an AI system can personalize its responses and anticipate needs.
- HeyGen Hyperframe
- A video generation format from HeyGen where the output is an HTML-native structure, giving an AI agent programmatic control over scene composition, layout, and animation rather than producing a fixed video file.
Things they pointed at.
00:13channelNous Research
01:08toolOpenClaw
01:36toolHeygen Hyperframe
03:05toolHermes Agent (GitHub)
04:40toolOpenAI / Anthropic / OpenRouter
06:20toolFal (image gen API)
06:25toolFirecrawl
06:28toolExa AI
09:02toolShadCN finance dashboard
09:15linkPrivate Discord (WorldofAI)
09:15linkWorldofAI Newsletter
Lines you could clip.
00:00
“Hermes Agent is one of the most interesting open source AI projects right now.”
00:13
“What makes Hermes different is not just that it is another AI chatbot with tools.”
01:36
“This entire video that I'm showcasing right now was fully generated autonomously by Hermes itself.”
03:38
“You basically had to live inside the command line and for many users that became a barrier for entry.”
05:05
“This feels like one of the first times an open source autonomous AI system is starting to bridge the gap between a research project and something everyday users can realistically operate with.”
Word for word.
Read-along
Don't just watch it. Burn it in.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
metaphoranalogy
00:00Hermes Agent is one of the most interesting open source AI projects right now, and honestly, it makes sense why it's climbing above tools like OpenClaw, CloudCode, and even Kilo for many daily use case workflows.
00:13But what makes Hermes different is not just that it is . It's designed to be a persistent autonomous system that is continuously evolving over time. It's built by NUIS Research under the MIT license, and Hermes can run exactly like OpenCloud but better, twenty four seven on your computer and your own infrastructure while building long term memory, reusable skills, and even deeper understanding of the user itself.
00:41It grows as you use it through a built in that lets you automatically create and refine reusable skills from successful tasks that it completes. It can maintain persistent cross session memory. It also has the ability to build a deeper model of you over time through systems like poncho for user modeling.
01:01And it improves on its own capabilities the longer it runs with periodic self nudges or persistent knowledge. Hermes is frequently compared to Openclaw, another popular open source agent.
01:13And the reason why many are switching to Hermes is because of its reliability, built in long term memory, and a self improving loop that makes its agent smarter as you use it more. Hermes focuses more on .
01:30Just take a look at what you can already do with it. Your Hermes agent can now build basically anything, full videos using official hyperframe skills by Hegen.
01:40Hyperframe videos are HTML native, meaning your AI agent can have full control over your final output, scenes, layouts, animations, and rendering workflows. And you can see that this entire video that I'm showcasing right now was fully generated autonomously by Hermes itself.
01:58The only issue with Hermes agent is the setup experience. For the longest time, Hermes was heavily CLI focused. While the terminal UI was decent, it still lacked many of the features needed to properly manage multiple agents, workflows, memory systems, and orchestrations inside a clean visual environment.
02:16You basically had to live inside the command line and for many users that became a barrier for entry, which is why today I wanted to showcase the Hermes desktop app. This is an open source native desktop application that lets you interact with Hermes agent inside a fully contained app environment, making the entire experience dramatically easier to use.
02:37Instead of manually managing everything through the CLI, you get a full desktop UI, easier multi agent management, better workflow orchestration, native app performance, and cross platform support for many of the operating systems I've mentioned like Windows, Mac OS, and Linux.
02:54And honestly, this feels like one of the first times an open source autonomous AI systems is starting to bridge the gap between a research project and something everyday users can realistically operate with. If you want the best AI tools, workflows, and drops before everyone else, join my free newsletter with the link in the description below, which is completely free.
03:15Now to work with Hermes, it is super simple with this desktop app. What you gotta do is head over to the GitHub repo, which I'll leave a link to in the description below, head over to the release page, and then you can install the installer file based off your operating systems. If you have a Mac OS, you wanna get the d m g file that you can easily access and download from here.
03:35In this case, I am on Windows, so I would install the exe file, the installer, and then I can get started from there. So I have installed this installer. I can double click it.
03:45You can do this at your own discretion.
03:52And after running the installer, you will be greeted with this page. And this is where you can click on get started or to connect to remote Hermes. This essentially means where you can connect to your remote Hermes API server and if you have it running already, you can simply add in the server URL and the API key which is optional and then you can click connect.
04:12But if you are getting started from scratch, this will require you to have two gigabytes of space to install the AI agent locally. So if you click on get started, this will install Hermes agent onto your computer into this app development environment. Once installed, you can continue to set up and this is essentially where you can set up your API provider for your AI model.
04:36So this is where you can choose from any of these providers whether that's OpenRouter, Anthropic, OpenAI. Use whatever you want. You can even connect it to a local model, and they even have a news portal for free tier available models.
04:49So if you select this, you can use Hermes completely for free, but you're not gonna get the best performance. I am personally gonna be using OpenAI, so I'm gonna be pasting in my OpenAI API key and then I'm gonna click on continue.
05:02And this is our Hermes agent desktop app. This is the user interface where we can work with the agent and this is where it's gonna be operating within this contained environment and it will improve as you use it over time.
05:16And now that we have it powered by our chat g p t model, this is where it has the ability to now work with you to accomplish any task using the Hermes loop. Now on the left hand side is where you can manage all of these different components. You can manage your session logs.
05:32You can create multiple profiles. So you can create multiple agents for different use cases and different purposes. You have an office and this is actually pretty cool.
05:42Let me showcase this. This basically creates a three d workspace for AI agents. I don't personally use this, but it is pretty interesting for you to visualize what is happening, all the different AI sub agents working within a contained office you can say to get your tasks done.
05:59Model section providers is self explanatory where you can manage all the models. You can even add in your local models as well. You can manage your providers here as well and then connect as many API providers as you need.
06:11It also lets you implement different APIs for tools that you wanna use. For example, like Fowl, so you can use it for image generation or Firecrawl for web scraping or web search, Exa AI. You have a lot of different tool APIs to enhance your Hermes agent's capability, and I would recommend you add in a couple of these.
06:29Skills is a way for you to essentially expand your agent's reasonable skills and workflows. Personas is where you can define your agent's response persona or how they essentially reply to you with the tone or instructions that you give it.
06:44Memory is where you will be able to manage your agent's knowledge base. Tools is pretty important. This is where you can manage all of these different individual tools like web search, browser use, terminal, file operations, and many others.
06:58You have the ability to set up cron jobs, which is where you can set up multiple scheduled tasks like you would with Cloud Code or Codex. Gateway is for you to connect the Hermes agent desktop app with many of these other platforms like Telegram, Discord, iMessage, and many others so that you can even control it from your phone.
07:17And then obviously the settings is where you can easily have it so that you can change the theme as well as the network. Also something important to note is that if you have a preconfigured OpenClaw session or an instance that you have multiple tools and skills and you wanna migrate it to Hermes, you can easily click on migrate to Hermes with this desktop app so that you can use all of your configurations, API keys, and sessions and skills directly within Hermes.
07:43And with this desktop app, you have so many different use cases like using it as a self improving large language model Wiki where it is a second brain to assist you on multiple workflows or different described components that you can use for further generations. You can have it work on creating x posts, for example, or have it create blog posts, have it as a twenty four seven assistant with super based CRM built in as a demo.
08:10You can use it as a financial analyst spot, something that can help you create various sorts of apps. So many different countless opportunities as to what you can do with it. What's cool is they even showcased my demo, the Shat CN finance dashboard.
08:26This is where I use Hermes to essentially improve on using the latest components to generate a full on CRM dashboard and this is where it was able to create this dashboard using newer components and that it's able to recursively use these components for future generations.
08:42If you like this video and would love to support the channel, you can consider donating to my channel through the super thanks option below. Or you can consider joining our private discord where you can access multiple subscriptions to different AI tools for free on a monthly basis, plus daily AI news and exclusive content plus a lot more.
09:02But I hope that this solution helps you use Hermes a bit easier with this application that you can easily install and set up using their installer. This is gonna get you a lot of flexibility in using Hermes with this UI and there's a lot more that you can do with this that I didn't really explain properly in this video. So I highly recommend that you take a look at the GitHub repo to get you more informed on what you can do with this.
09:26But with that thought, guys, I hope you enjoyed today's video and got some sort of value. I'll leave all these links in the description below so that you can easily get started. But with that thought, thank you guys so much for watching.
09:35Make sure you join the second channel by subscribing. Take a look at our newsletter. Join the Discord.
09:39Follow me on Twitter. And lastly, make sure you guys subscribe. Turn on notification bell.
09:43Like this video. And please take a look at our previous videos so that you can stay up to date with the latest AI news. But with that thought, have an amazing day.
09:50Have positivity, and I'll see you guys fairly shortly. Peace out, fellas.
The Hook
The bait, then the rug-pull.
Twelve seconds. That's how long WorldofAI takes to anchor Hermes Agent as the new top-of-class open-source AI agent — superlative, three named competitors, and a curiosity gap, all before a single frame of the product appears.
Named ideas worth stealing.
00:41list
The Hermes value triangle
- Reusable skills (closed learning loop)
- Persistent cross-session memory
- Deepening user model (poncho)
Three pillars that frame Hermes as 'not just another chatbot with tools'.
Steal forany product positioning slide — three named pillars beats a feature list every time
00:00model
WorldofAI tool-review structure
- Superlative cold open (0:00–0:13)
- What it is + differentiator (0:13–0:41)
- Competitor name-drop (1:08–1:36)
- Self-flex / proof-of-power (1:36–2:01)
- Pain reframe (2:01–2:26)
- Product reveal (2:26–3:05)
- Mid-roll CTA (3:05–3:46)
- Install walkthrough (3:46–5:05)
- Left-sidebar UI tour (5:05–7:50)
- Use-case montage (7:50–8:42)
- CTA stack (8:42–9:54)
Mechanical 11-beat template WorldofAI runs on every new-tool review.
Steal forany creator covering dev tools, AI apps, or open-source drops
How they asked for the click.
VERBAL ASK
09:02newsletter
“If you like this video and would love to support the channel, you can consider donating to my channel through the super thanks option below. Or you can consider joining our private discord where you can access multiple subscriptions to different AI tools for free on a monthly basis, plus daily AI news and exclusive content.”
Stacked CTA — Super Thanks, private paid Discord, GitHub, subscribe, bell, newsletter, Twitter, second channel — all crammed into the final 70 seconds. Effective for monetization, exhausting as a viewer experience.
FROM THE DESCRIPTION
PRIMARY CTAWhere the creator wants you to go next.
AFFILIATECommission earned if you click.
OTHER LINKSAlso linked in the description.
- 🧠 Follow me on Twitter ↗
- 🚨 Subscribe To The SECOND Channel ↗
- 🚨 Subscribe To The FREE AI Newsletter For Regular AI Updates ↗
- 👾 Join the World of AI Discord! ↗
- Claude Code + Ollama = FULLY FREE AI Coding FOREVER! (Tutorial) ↗
- Claude Code + OpenRouter = Free UNLIMITED AI Coding (No Local Setup) ↗
- Hermes Agent The 24/7 Self-Evolving AI Agent! ↗
- Github Repo ↗
- Hermes Docs ↗
- Use Cases ↗
- x.com ↗
- x.com ↗
- x.com ↗
- x.com ↗
Visual structure at a glance.
