TL;DR: Hermes Agent News, November 2026: A $5 Self-Hosted AI Agent That Remembers Your Business
Hermes Agent news, November, 2026: you can now run a free AI agent that remembers your business for about $5 a month. Nous Research released it in February 2026 under the MIT license. Nine months later, it has a desktop app, a Windows installer that needs no WSL, and one-click VPS hosting.
- What changed this year: Hermes moved from hacker toy to small-business tool. It now has 300+ GitHub contributors, 40+ built-in tools, 20+ model providers and 25 messaging platforms.
- Why it pays off for founders: A learning loop saves each solved task as a reusable Markdown skill. Memory stays on your machine in
~/.hermes/, and the project advertises zero telemetry. You can switch AI models without losing what the agent has learned. - How to set it up in an afternoon: Install from the official NousResearch repository. Write a SOUL.md file with your tone and hard rules. Connect one channel, such as Telegram, then teach the agent one weekly task and schedule it.
- Risks to watch: Shell access on your main laptop, look-alike installers, premium models on routine jobs, unread skill files and missing backups. Keep a human approving anything that reaches clients.
Mean CEO Violetta Bonenkamp, founder of CADChain and Fe/male Switch, sees memory as the real moat. She also warns that "self-improving" only works when you give the agent good feedback. For the growth timeline, including its #1 OpenRouter ranking, read the October Hermes Agent update. You can also pair the agent with a founder second brain in Obsidian to keep your notes and agent memory in sync.
Pick one task that eats an hour of your week and hand it to Hermes this Friday. Six months of saved skills about your business is a head start your competitors cannot copy.
Check out other fresh startup news and trends that you might like:
Posthog News | November, 2026 (STARTUP EDITION)
The Hermes Agent news for November 2026 comes down to one uncomfortable fact for every founder still paying for five separate AI subscriptions: an open-source agent that remembers you, writes its own skills, and runs on a server costing roughly the price of a takeaway coffee has become one of the most talked-about AI tools of the year. Nous Research shipped it in late February 2026. Nine months later, it has a desktop app, native Windows installation, one-click hosting from mainstream providers, and a community with more than 300 contributors on GitHub.
I am Violetta Bonenkamp, also known as Mean CEO. I run CADChain, a deeptech company working on IP protection for CAD files, and Fe/male Switch, a game-based startup incubator for women founders. I have spent more than 20 years working across Europe, and I have a very simple filter for new AI tools: does it give a small team the output of a bigger one, and do I stay in control of my data? Hermes Agent is one of the few tools in 2026 that passes both tests on paper. This article covers what changed this year, what the numbers say, how to set it up, where founders get burned, and where I think the hype is ahead of reality.
Let’s break it down.
What is Hermes Agent, and why is it in the news in November 2026?
Hermes Agent is an open-source, MIT-licensed autonomous AI agent built by Nous Research. You install it yourself on a laptop, a home server, a VPS (Virtual Private Server, a small rented machine in a data center), or serverless infrastructure. You then talk to it through Telegram, Discord, Slack, a CLI (command-line interface), a desktop app, or one of many other chat platforms.
Nous Research describes it as “the self-improving AI agent” and “the only agent with a built-in learning loop , it creates skills from experience, improves them during use, nudges itself to persist knowledge, and builds a deepening model of who you are across sessions.” That quote comes from the official documentation, as cited in TrueFoundry’s explainer on Hermes Agent memory, skills, and setup.
Clearing up the name confusion
Search results for “Hermes” are messy, so here is a quick disambiguation:
- Hermes Agent is the agent software: the planning loop, tool use, memory, scheduled jobs, and self-improvement layer.
- Hermes models are the open large language models (LLMs) that Nous Research publishes. The agent can use them, but it can also use models from other providers.
- Nous Research is the AI lab behind the Hermes, Nomos, and Psyche model families. Hermes Agent is its first standalone agent framework, according to Hostinger’s guide to how Hermes Agent works.
- It has nothing to do with the French fashion house, the Greek god, or the parcel delivery company. Your accountant will thank you for not expensing a handbag under “AI tooling.”
The Flux overview of Nous Research’s self-improving agent puts the difference clearly: the Hermes models are the underlying open LLMs, and Hermes Agent is the agentic system built around them so they can carry out multi-step tasks autonomously.
What are the biggest Hermes Agent news stories of 2026 so far?
Here is the timeline as it stands in November 2026, based on public documentation, tutorials, and community sites.
- Late February 2026: public release. Nous Research releases Hermes Agent under the MIT license as an always-on, self-hosted agent with persistent memory.
- Spring 2026: model-agnostic positioning becomes the selling point. The official GitHub documentation lists support for OpenRouter, Anthropic, OpenAI, Google, DeepSeek, xAI, local models, and 20+ other providers, running on Linux, macOS, Windows, and WSL.
- Summer 2026: the desktop app arrives. A full desktop tutorial by the Wanderloots channel, posted on July 1, 2026, passed 121,328 views and 3.4K likes. Non-technical users finally got a way in without a terminal.
- Windows without WSL. Earlier documentation pointed Windows users to WSL2. Community install pages now show a PowerShell one-liner with “no WSL needed.”
- September 2026: mainstream hosting picks it up. Hostinger published its explainer on September 29, 2026, and tutorials now show one-click deployment on a Hostinger VPS through Docker Manager, with Traefik securing the connection.
- Autumn 2026: hosted “Hermes as a service” appears. Third-party services promise a live cloud instance in “under 60 seconds” for people who do not want to manage a server.
- November 2026: the contributor base keeps growing. The repository lists 300+ contributors, with the top contributor alone above 2,500 commits.
My read as a founder: the story of 2026 is the move from a hacker toy to a small-business tool. A desktop app, a Windows installer, and one-click VPS hosting are the three things that bring a technical product to people who run agencies, shops, and consultancies.
Hermes Agent by the numbers: which stats should founders know?
- 25 messaging platforms supported, according to the community hub at HermesAgents.net, the community guide to skills and setup.
- 7 sandbox backends for running tasks in isolated environments.
- 40+ built-in tools, including terminal and web browser access.
- 20+ LLM providers on top of local models.
- 300+ contributors on GitHub, with the top contributor above 2,500 commits.
- 10,000+ GitHub stars, as reported by a third-party hosting site.
- 11 tool-call parsers and Atropos support for reinforcement learning (RL) experiments.
- Zero telemetry: memory lives locally in
~/.hermes/on your machine, according to the Hermes Agent overview at hermes-agent.org. - About $5 per month for the cheapest VPS setups described in tutorials, plus whatever you spend on the AI model.
Here is the stat I find most telling: 300+ contributors, yet most commits come from Nous Research maintainers. That is a healthy sign for a business user. A product with a clear owner and a wide contributor base tends to get fixes fast without becoming a committee project. It also means your bet depends heavily on one lab, so keep your setup portable.
How does the Hermes Agent learning loop work?
Most AI assistants are stateless. You open a chat, explain your business again, get an answer, and the context evaporates. Hermes runs a closed learning loop. When it solves a problem, it writes a reusable skill as a Markdown file, saves what it learned about you, and refines that skill the next time it runs.
The team at MindStudio’s analysis of the five Hermes Agent pillars frames the design around five building blocks. I find this the clearest mental model for business owners:
- MEMORY: persistent context across sessions. It remembers your projects, clients, tone, and preferences.
- SKILLS: Markdown files the agent writes when it completes a task, such as “how to prepare the Monday sales summary.”
- SOUL: a file called
SOUL.mdthat defines personality, voice, and boundaries. - CRONS: scheduled jobs. A cron is a timed task, like “every Friday at 9:00, send me a competitor summary on Telegram.”
- SELF-IMPROVEMENT: the agent updates skills during use and searches its own past conversations.
Why the gamepreneurship lens fits here
At Fe/male Switch, I built a startup game where players complete quests, collect assets, and level up. Hermes follows the same logic. Every task you hand it is a quest, every saved skill is an asset, and the agent levels up with use. The rule I apply to games applies here too: gamification without skin in the game is useless. If you only ask Hermes trivia questions, it learns nothing worth keeping. Give it real, repeated business work and the skill library starts to compound.
Why should entrepreneurs and freelancers care about Hermes Agent?
Here is why. I see AI as a force multiplier for small teams and solo founders. When I grew CADChain from around 4 people to about 25 full-time staff between 2021 and 2022, most of the hidden cost sat in coordination: research, follow-ups, summaries, reminders, status reports. An always-on agent that remembers context goes straight at that cost.
Hostinger’s explainer sums up the shift well: “It runs continuously as an always-on service rather than a per-session chat tool.” For a freelancer, that means work happens after you close the laptop. A community site describes it as able to “run nightly research sweeps, compile weekly briefings, and push updates without any human invocation.”
Three reasons this matters more for European founders
- Data residency: you choose where the server sits. A VPS in Frankfurt or Amsterdam keeps memory files in the EU, which makes GDPR conversations with clients much easier.
- No vendor lock-in: you pick the model provider. If prices rise or terms change, you switch models and keep your memory and skills.
- Auditability: the MIT license means anyone, including your technical advisor or a client’s security team, can read every line of code.
One of my operating principles is “default to no-code until you hit a hard wall.” Hermes sits in an interesting middle zone. It is code you can run without writing code, and with the desktop app and one-click hosting, the wall has moved much further away for non-technical founders.
How does Hermes Agent compare with Claude Code, Codex, and OpenClaw?
The official Hermes Agent documentation on GitHub places it in the same category as Claude Code from Anthropic, Codex from OpenAI, and OpenClaw: autonomous agents that use tool calling to interact with your system. The differences that matter for a business owner:
- Coding agents like Claude Code and Codex focus on software tasks inside a repository or IDE. Great for developers, narrower for an agency owner who needs inbox triage and weekly reports.
- Hermes Agent is built to live on a server, reach you on chat apps, run scheduled jobs, and build a long-term model of you.
- Model choice: Hermes works with any supported provider, including local models through Ollama such as Gemma or Qwen. Vendor agents usually tie you to their own models.
- Build-your-own platforms like MindStudio let you assemble Hermes-style agents with managed infrastructure, which suits teams that prefer not to run a server at all.
My take: these tools are complements. A developer on your team may use Codex for code and Hermes for everything around the code, such as release notes, customer replies, and status updates on Slack.
How do you set up Hermes Agent as a non-technical founder? A step-by-step guide
Next steps. Follow this order and you will have a working agent in an afternoon.
For a visual walkthrough, The Ultimate Beginner’s Guide to Hermes Agent on YouTube covers the one-click VPS route, Telegram, SOUL.md, and scheduled jobs. The full Hermes Agent desktop app tutorial by Wanderloots covers the desktop path, with tips on safety and cost.
Which business tasks can Hermes Agent handle? 8 examples
Here is how I would wire Hermes into a small company. Each example assumes a human approves anything that goes out to clients.
- Competitor watch. A weekly cron scans competitor websites, pricing pages, and changelogs, then sends a five-bullet summary to Telegram every Monday.
- Grant and tender hunting. For European founders, EU and national grant calls are a goldmine with brutal deadlines. A nightly job can check funding portals and flag matches against your company profile stored in memory.
- Investor update drafts. The agent pulls numbers from a Google Sheet, compares them with last month, and drafts the update in your voice.
- Inbox triage. Through Gmail, it sorts messages into “reply today,” “delegate,” and “ignore,” and drafts replies for the first group.
- Content repurposing. Feed it a podcast transcript or a long LinkedIn post and let it produce a newsletter section, three short posts, and a blog outline. Over time, the skill learns your style.
- Community support. On a Discord server for your customers, it drafts answers based on your documentation and escalates anything unclear.
- Bookkeeping prep. It collects invoices from email, logs them in a Sheet, and reminds you of unpaid ones.
- Founder research assistant. Before a sales call, it builds a one-page brief on the prospect from public sources and your past conversations.
For a company like CADChain, I would add a ninth: IP and regulation monitoring, where the agent tracks patent office news, EU policy updates, and standards changes that affect CAD and 3D data. As a parallel entrepreneur, I also like the idea of separate profiles per venture, so knowledge stays organized while the same infrastructure serves several companies.
What are the most common Hermes Agent mistakes to avoid?
Every new tool creates a new way to hurt yourself. These are the mistakes I expect founders to make, and how to sidestep them.
- Giving it shell access on your main laptop. Hermes can run terminal commands. TrueFoundry notes it suits people “comfortable operating a long-lived process with shell access.” Put it on a separate VPS or inside a sandbox backend.
- Installing from unofficial sites. Several look-alike domains exist, and some label themselves as third-party services. Verify you are using the NousResearch repository before you paste any install command.
- Running every job on the most expensive model. A nightly cron on a premium frontier model adds up fast. Use cheap models for routine jobs and reserve stronger models for reasoning-heavy work.
- Skipping SOUL.md. Without clear boundaries, the agent guesses your tone and your rules. Guessing is fine for a hobby and dangerous with clients.
- Never reading the skills it writes. Self-written skills can lock in a wrong assumption and repeat it forever. Read new skill files the same day.
- Feeding client NDA material to a hosted model without checking terms. Your memory stays local, but prompts still travel to your chosen model provider. Use a local model for confidential work.
- Connecting 25 platforms on day one. More channels mean more noise and more attack surface. Start with one.
- Forgetting backups. Your agent’s memory lives in
~/.hermes/. If the VPS dies and you have no backup, months of learning disappear. - Treating it as set-and-forget. An always-on agent needs a weekly review, just like a new hire.
Is Hermes Agent safe enough for a small business?
The privacy defaults look strong. The project advertises zero telemetry, local memory storage, and container hardening with a read-only root, dropped capabilities, and PID limits. The MIT license means the code is fully auditable.
Still, I want to be blunt. My principle at CADChain is that protection and compliance should be invisible, built into the workflow so people do the right thing by default. Hermes gets the privacy part right. The safety part depends heavily on how YOU configure it. An agent with shell access, email access, and a scheduler is a powerful employee with no instinct for danger. Treat it with the same rules you would give a junior contractor:
- Separate accounts with limited permissions for email and cloud storage.
- Approval required before anything external is sent or published.
- No access to payments, banking, or production databases.
- A log you actually read.
I always advocate for human-in-the-loop AI. The agent handles pattern recognition and mechanical tasks. You keep judgment, ethics, and the story you tell your customers.
How much does Hermes Agent cost to run?
The software is free. As one beginner tutorial puts it: “You pay only for the AI model it thinks with and for the machine it works on, which, for us, is a small rented server that costs just a few dollars a month.”
- Software: free, MIT license.
- Server: from around $5 per month for a small VPS, or zero if you run it on hardware you already own.
- Model usage: varies by provider and model. Cheap tool-capable models keep routine jobs inexpensive, and local models through Ollama cost only electricity.
- Hosted option: third-party clouds charge a subscription in exchange for skipping server management.
Compare that with stacking separate subscriptions for a writing assistant, a meeting assistant, a research tool, and an automation platform. For a solo founder, consolidating even part of that into one self-hosted agent is a real saving, and the memory you build belongs to you.
What is the Mean CEO verdict on Hermes Agent in November 2026?
Time for the provocative part. Here are my unfiltered takes.
- Memory is the moat. Models get cheaper and swap places on leaderboards every month. Six months of saved skills and context about YOUR business cannot be copied by a competitor. Founders who start building that memory now will have a head start that a better model cannot erase.
- Owning your agent is a strategic decision. When an assistant lives on a vendor’s servers, the vendor owns the relationship. When it lives in your
~/.hermes/folder, you own it. - The hype is ahead of reality on “self-improving.” Self-written skills are only as good as the feedback you give. An agent that learns from sloppy instructions becomes reliably sloppy.
- Women founders should pay attention. I keep saying that women do not need more inspiration; they need infrastructure. A $5 agent that handles research, admin, and follow-ups is exactly that kind of infrastructure, especially for founders juggling care work and a business.
- The MLOps angle is underrated. Hermes can generate tool-calling trajectories, export conversations in ShareGPT format, and support RL training through Atropos. For AI startups, that is a cheap way to create fine-tuning data from real workflows.
FOMO check: if you are still re-explaining your business to a chatbot every morning, competitors who set up a persistent agent this autumn are already compounding learning you will have to catch up on in 2027.
Hermes Agent FAQ
Is Hermes Agent free?
Yes. The software is open source under the MIT license. You pay for the AI model you connect and for the server, unless you run a local model on your own hardware.
Who makes Hermes Agent?
Nous Research, the lab behind the open Hermes family of language models. Development happens in public at the NousResearch/hermes-agent repository.
Do I need to know how to code?
No. The desktop app and one-click VPS templates let non-technical users get started without a terminal. Some comfort with reading Markdown files and checking settings helps a lot.
Does Hermes Agent work on Windows?
Yes. It runs on Linux, macOS, Windows, and WSL, and community install pages show a PowerShell installer that does not require WSL.
Does Hermes Agent send my data anywhere?
The agent itself advertises zero telemetry and stores memory locally. Your prompts do go to whichever model provider you connect, so choose a local model for confidential material.
Can Hermes Agent run on local models?
Yes. You can connect local models such as Gemma or Qwen through Ollama and keep everything on your own machine.
What should founders do with this Hermes Agent news right now?
The 2026 story of Hermes Agent is simple: a free, self-hosted, model-agnostic agent with memory went from early-adopter project to something a freelancer can install over lunch. The desktop app, Windows support, and one-click hosting removed most of the friction. The risks are real, mostly around shell access, unofficial installers, and unchecked self-written skills, and every one of them is manageable with basic discipline and a weekly review.
Here is your plan for this week:
- Pick one repeated task that eats at least an hour of your week.
- Set up Hermes on a cheap VPS or the desktop app, installed from the official repository.
- Write a short SOUL.md with your tone and your hard rules.
- Teach the task, read the skill it writes, and schedule it as a cron job.
- Review results every Friday for a month, then decide whether to add a second workflow.
Treat your startup like a strategic game, where you collect assets faster than everyone else. An agent that remembers and improves is one of the cheapest assets you can collect in 2026. Start small, stay in control, and let the learning loop work in your favor.
People Also Ask:
Are Hermes agents free?
Yes, Hermes Agent itself is free. Nous Research releases it as open-source software under the MIT license, so you can download, use, and modify it without paying a license fee. The costs come from what you run it on and connect it to. Paid AI model providers such as Claude, OpenRouter, or DeepSeek charge per use, and a VPS for always-on hosting has a monthly fee. You can bring costs close to zero by running it on your own computer with a local model through Ollama.
How to make money with Hermes agent?
Hermes Agent is a tool, not an income source, so what you earn depends on what you build with it. Common approaches include:
- Offering setup and hosting services to small businesses that want a private AI assistant.
- Building scheduled automations for clients, such as daily research briefs, monitoring, or report generation.
- Speeding up freelance work like research, writing, and coding.
- Creating tutorials or courses about the agent.
Be cautious about "passive income" claims, since paid work still needs your review and oversight.
What is the goal in Hermes Agent?
The goal of Hermes Agent is to give you a personal AI assistant that keeps running, remembers past work, and gets better over time. A typical chatbot resets with each session. Hermes is built to handle multi-step tasks on its own, run jobs on a schedule, and turn solved problems into reusable skills so it can repeat similar work faster and more reliably later.
Who is behind Hermes AI?
Nous Research builds Hermes Agent. It is an AI research lab known for the Hermes family of open-weight language models, including Hermes 4. The agent is an open-source project under the MIT license, and its official documentation is hosted on the Nous Research website. A wider community of developers also contributes code, skills, and guides.
Is Hermes Agent safe to use?
Hermes Agent can be used safely, but it needs care because it can run terminal commands, install software, and write or delete files. Good precautions include:
- Isolate it: Run it on a separate machine or a VPS instead of your personal computer.
- Limit access: Don't give it access to sensitive accounts or admin credentials it does not need.
- Control messaging: Restrict who can message the agent through Telegram, Discord, or other gateways.
- Check add-ons: Review any third-party skills or MCP servers before adding them.
- Stay current: Keep the software updated with the latest releases.
How do I install Hermes Agent?
Hermes Agent installs with a single script. On Linux, macOS, or WSL2, you run the curl install command from the official documentation. On Windows, you use the PowerShell script. After installation, a setup step walks you through choosing a model provider, adding your account credentials, and optionally connecting a messaging app. Many people install it on a small VPS so the agent stays online 24/7.
What are skills in Hermes Agent?
Skills are reusable instructions, stored as markdown files, that tell Hermes Agent how to complete a certain type of task. The agent can write new skills after solving a problem, refine them over time, and call them again when a similar request comes up. You can also write your own skills or add ones shared by the community.
What is the difference between Hermes Agent and OpenClaw?
Both are open-source, self-hosted AI agents that you can message through chat apps and that run tasks on your behalf. Hermes Agent stands out for its built-in learning loop, which creates and improves skills from experience. It also keeps memory across sessions and works with many different AI models. Users who switched from OpenClaw often cite easier setup and the self-improving skill system. Others stay with OpenClaw because of its existing community and their current workflows. The better choice depends on your setup and needs.
Which messaging apps can connect to Hermes Agent?
Hermes Agent works with Telegram, Discord, Slack, and WhatsApp through its gateway feature, and some guides also mention LINE support. Once it's connected, you can send the agent tasks from your phone, get replies and status updates, and receive results from scheduled jobs without opening a terminal.
Can Hermes Agent work with Claude?
Yes. Hermes Agent is model-agnostic, so you can connect it to Anthropic's Claude models directly or through a router like OpenRouter. It also supports DeepSeek, Nous Portal, and local models run through Ollama. Some users run it alongside Claude Code, letting Hermes handle scheduling, memory, and messaging while Claude Code takes on heavier coding work.
FAQ on Hermes Agent for Startups and Founders in 2026
How popular is Hermes Agent compared with OpenClaw on OpenRouter?
Hermes Agent climbed fast on OpenRouter. In June 2026 it overtook OpenClaw in daily rankings, processing 224B versus 186B daily tokens. On June 14 it reached the #1 daily global rank with 18.2 trillion total tokens. Treat token share as evidence of adoption, not proof that it fits your workflows. See the Hermes Agent growth timeline
Is Hermes Agent better than Perplexity for ongoing market research?
Perplexity-style tools start fresh with every query. Hermes builds on everything it has researched before, so it accumulates context on rivals, pricing, and sources over time. Use Perplexity for quick one-off lookups and Hermes for recurring competitive intelligence sweeps that need memory. Compare Hermes Agent with Perplexity for research
Can Hermes Agent replace hiring a virtual assistant or junior employee?
Not really. Its strongest use is as a founder-controlled operating layer. It handles routine research, reporting, and evidence gathering so your people can focus on creativity, negotiation, and hard decisions. Before hiring an assistant, test whether Hermes covers the repetitive half of that role. Read how founders use Hermes as an operating layer
How can I measure whether Hermes Agent's self-improving skills are actually getting better?
Track each stage of the loop: execute, assess, extract a skill, refine, retrieve. Log how often you correct the same workflow, because corrections should drop week over week. Compare skill file versions, time per task, and output quality. If corrections stay flat, rewrite the skill manually. Explore the Hermes Agent learning loop explained
How should I pilot Hermes Agent before giving it real client data?
Run a two-week trial in sandboxed accounts with dummy data. Start with one trigger and one action, log every agent run, and add approval steps before anything touches customers or payments. Then compare hours saved against model and server costs before going live. Get practical AI agent testing advice
Where does Hermes Agent fit alongside Zapier, Make, or n8n in a startup automation stack?
Give each tool a clear job:
- Your apps remain the source of truth.
- No-code tools like Make, Zapier, or n8n route events.
- Hermes handles memory and recurring routine work.
- Humans keep strategy.
This layered stack avoids duplicate automations and fragile handoffs. Plan your stack with AI automations for startups
Can Hermes Agent connect to my Obsidian notes as a second brain?
Yes. Many founders pair an Obsidian vault with Hermes so their own decision notes and the agent's memory reinforce each other. Start with short daily decision notes, point Hermes at the vault folder, and let it summarize, tag, and retrieve past reasoning. Back up the vault separately. Build a founder second brain with Obsidian
Can Hermes Agent work inside my IDE and GitHub workflows?
Yes. Beyond chat apps and the terminal, Hermes runs in IDEs and can connect to GitHub issues, pull requests, and Actions workflows. Small dev teams can have it triage issues, draft PR summaries, and write release notes, while every code change still passes human review. Read the official Hermes Agent documentation
How do I move Hermes Agent from my laptop to a VPS or hosted service without losing memory?
Hermes supports both self-hosted and managed setups, so migration is mostly about moving its state. Run it in Docker with a mounted volume for ~/.hermes, back up that folder on a schedule, and restore it on the new host. Your memory, skills, and SOUL.md travel with you. Compare self-hosted and managed Hermes setups
Where can I find ready-made Hermes Agent skills instead of building everything from scratch?
Check community hubs first. They collect install guides, shared skills, integrations, and showcase projects from other users. Treat community skills like third-party code: read the Markdown, remove anything touching credentials, and test in a sandbox before adding a skill to your production agent. Browse Hermes Agent community skills and integrations
