Nous Research

🧭 What Is Nous Research?

Nous Research is an independent AI research organization focused on open-source AI models, reinforcement learning, model training, and autonomous AI systems. Founded in 2023, the organization is best known for its Hermes family of models and its newer Hermes Agent platform.

It is important to understand that Nous Research is not simply another ChatGPT-style AI application. It is an AI research lab that develops models, training techniques, and agent infrastructure. For users looking for a practical product, Hermes Agent is the part of the ecosystem that matters most.

Hermes Agent is an open-source AI agent designed to perform tasks rather than simply answer questions. It can work with files, terminal commands, web searches, browser automation, code, external services, persistent memory, and reusable skills. The project is released under the MIT license, giving developers considerable freedom to inspect, modify, and self-host the software.

🤖 What Is Hermes Agent?

Hermes Agent is Nous Research's open-source autonomous AI agent. Instead of limiting the AI to a chat window, Hermes gives the model access to tools and an execution environment so it can perform multi-step tasks.

For example, you could ask Hermes to research several competitors, collect information from their websites, analyze the results, create a report, save it as a file, and send you a summary. The agent can handle the individual steps instead of simply explaining how you could do them yourself.

Hermes can run locally or on a server and can connect to different AI model providers. This makes it fundamentally different from an AI product that requires users to stay inside one company's model ecosystem.

📅 Development and Product Positioning

Nous Research was founded in 2023 and initially gained attention through its open-source language-model research and Hermes model family. The organization later expanded into reinforcement learning, model training, evaluations, and autonomous agent development.

The Hermes Agent project represents a broader shift from simply building AI models toward building systems that can actually use those models to perform work.

Its current positioning can be summarized simply: an open, customizable AI agent that can use models, tools, memory, and external services together.

This makes Nous Research particularly relevant to developers and advanced AI users who care about model choice, self-hosting, automation, and control over their AI environment.

⚙️ Core Features

🧠 1. Persistent Memory

Hermes can retain useful information between sessions instead of starting from zero every time. This can include project information, preferences, previous conversations, and other context that helps with long-running work.

🛠️ 2. Reusable Skills

Hermes has a skills system for turning repeatable procedures into reusable capabilities. This is useful when you regularly perform the same workflow and do not want to rewrite detailed instructions each time.

🌐 3. Web Search and Browser Automation

The agent can search the web, retrieve information, and interact with browser-based services. This allows research tasks to become part of a larger automated workflow rather than remaining a manual copy-and-paste process.

💻 4. Terminal and Code Execution

Hermes can interact with terminals, files, scripts, Python environments, and development projects. This gives it the ability to perform actual operations rather than only generate code snippets.

👥 5. Subagents

Complex tasks can be divided between multiple subagents. A research task, for example, can be broken into separate jobs for collecting information, analyzing results, and preparing the final output.

⏰ 6. Scheduled Tasks

Hermes supports recurring workflows. You can configure tasks such as daily research, weekly reports, monitoring, reminders, or other automated jobs without manually starting each task.

🎨 7. Media and External Tools

Through its tool ecosystem, Hermes can access capabilities such as image generation, text-to-speech, web search, browser automation, and other external services.

🔌 8. Multi-Model Support

Hermes is not restricted to one AI model. Depending on your configuration, it can work with Nous models as well as models and APIs from providers such as OpenAI, Anthropic, Google, DeepSeek, OpenRouter, and local model deployments.

✨ What Makes Nous Research Different?

The biggest difference is control.

Most mainstream AI services are designed around a simple workflow: open the application, select a model, enter a prompt, and receive an answer. Hermes takes a more modular approach. The model, agent, tools, memory, skills, and hosting environment can be configured separately.

You can run Hermes on your own computer, connect it to a commercial API, deploy it on a cloud server, or use Nous Portal for hosted model and tool access.

Another important difference is the emphasis on persistent workflows. Hermes is designed to remember useful information and create reusable skills, so the system can become more useful as you continue using it.

The downside is straightforward: more control also means more configuration. Hermes is considerably more technical than simply opening a chatbot and asking questions.

💼 Practical Use Cases

💻 Programming

Hermes can inspect repositories, modify files, run commands, execute tests, troubleshoot errors, work with Git, and automate repetitive development tasks. This makes it particularly interesting for developers who want an agent that can operate directly inside a development environment.

🔬 Research

Hermes can combine web search, webpage extraction, local files, memory, and structured output. A researcher can ask it to collect information from multiple sources, compare the findings, and produce a report.

✍️ Writing

It can write articles, reports, documentation, emails, summaries, and research notes. Its main advantage for writing is that it can perform research and other supporting tasks before producing the final text.

📊 Data Analysis

With Python and terminal access, Hermes can process CSV files, calculate statistics, transform datasets, generate reports, and automate recurring analysis.

🎨 Design and Creative Work

Hermes can connect to image-generation services and incorporate generated media into larger workflows. It is useful for automation around creative work, although it is not intended to replace dedicated professional design software.

📣 Marketing

Marketing teams can use Hermes for competitor research, content preparation, market monitoring, reporting, data collection, and website-related tasks. It becomes more useful when the workflow involves several tools rather than just writing marketing copy.

🏢 Business Automation

Companies can use Hermes for recurring reports, internal research, document processing, monitoring, backups, scheduled tasks, and other repetitive operations.

💬 Messaging and Collaboration

Hermes can be connected to supported messaging platforms, allowing users to interact with an agent running on another computer or cloud server without opening the terminal for every request.

🚀 How to Use Hermes Agent

1. Create an Account

If you want to use Nous's hosted services, start by creating a Nous Portal account. Portal provides access to hosted models and tools through a unified account.

2. Install Hermes

Hermes can be installed on supported desktop and server environments. Developers can use the command line, while less technical users can use the desktop application where available.

curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash

3. Connect Nous Portal

The simplest hosted setup is to connect Hermes to Nous Portal:

hermes setup --portal

The setup process connects your account and configures the agent to use the available models and hosted tools.

4. Start Hermes

hermes

You can then start interacting with the agent from the terminal.

5. Give It a Real Task

Research five AI coding agents.

For each product, collect:
- pricing
- supported platforms
- major features
- target users
- main limitations

Use primary sources whenever possible.
Save the research as a Markdown file.

6. Review the Result

For important work, review the sources, generated files, code changes, and external actions before accepting the result. Autonomous agents can perform more actions than ordinary chatbots, so human review still matters.

🧠 Tips for Better Results

🎯 Define the Final Deliverable

Do not simply tell Hermes what topic you are interested in. Tell it exactly what you want at the end.

Research 10 AI coding tools.

Create a comparison table covering:
pricing, platforms, model support, features,
target users, and limitations.

Then write a 1,500-word analysis.
Save the final result as ai-tools.md.

🔎 Ask It to Investigate Before Changing Anything

For software projects, ask the agent to inspect the system first and explain its proposed approach before allowing it to make changes.

Do not modify the project yet.

First inspect the codebase and explain:
1. how the current system works
2. where the problem is
3. which files need to change
4. your proposed solution
5. how you would test it

📋 Set Clear Constraints

Tell Hermes what it must not change. For example, specify which directories it can modify, whether database structures can be changed, or whether existing APIs must remain compatible.

📐 Specify the Output Format

If you need HTML, Markdown, JSON, CSV, or another format, say so explicitly. You should also specify the required headings, length, audience, and structure.

🔁 Turn Repeated Work Into Skills

If you perform the same workflow repeatedly, convert it into a reusable skill. This is one of the areas where Hermes can save more time than a conventional chat assistant.

💰 Match the Model to the Task

Use a stronger reasoning model for architecture, difficult debugging, or complex research. A less expensive model may be perfectly adequate for formatting, simple transformations, and routine tasks.

🔐 Control Permissions

If Hermes has access to your files, terminal, browser, accounts, or cloud credentials, keep its permissions limited. The more capable the agent becomes, the more important permission management becomes.

🖥️ Installation and Supported Platforms

Hermes is designed to work across several environments rather than being tied to a single operating system.

• macOS: Supported through desktop and command-line workflows.
• Windows: Supported, including Windows-based installation and WSL workflows.
• Linux: Supported for desktop, server, and terminal environments.
• WSL2: Supported for Windows developers who prefer Linux tools.
• Android: Terminal-based use is possible through Termux.
• Web: Nous Portal provides browser-based access to hosted services.
• Cloud: Hermes can run continuously on VPS and other cloud infrastructure.
• iOS: Hermes is not primarily a native local iOS application. Users can access cloud-based agents through supported web and messaging workflows.
• Browser: Browser automation is handled through the agent's tools rather than requiring a conventional browser extension.
• IDE: Hermes can work with supported development environments and agent-compatible IDE workflows.
• Messaging: Supported messaging integrations allow remote interaction with the agent.

💰 Pricing and Plans

There are two different costs to consider. Hermes Agent itself is open-source software and does not require a software license fee. You may still pay for model inference, cloud hosting, APIs, or external tools.

🆓 Free — $0/month

The free hosted tier provides access to free models with standard usage limits. It is suitable for testing the platform before paying for additional capacity.

💼 Plus — $20/month

The Plus plan provides a monthly credit allowance, access to a broad model catalog, hosted tools, and higher usage limits. It is aimed at individual users who want more than the free tier.

⚡ Super — $100/month

Super provides substantially more monthly credits and higher limits for users running heavier AI-agent workloads.

🚀 Ultra — $200/month

Ultra is intended for heavy individual usage and provides the highest standard usage allowance among the main Portal plans.

🏢 Business and Enterprise

Business use can involve shared accounts, centralized usage, hosted infrastructure, and customized deployment requirements. Enterprise arrangements can vary, so companies should verify the current commercial terms directly before budgeting for a larger deployment.

The key point is simple: open source does not automatically mean zero operating cost. If you run Hermes with paid models or cloud infrastructure, those services still generate usage costs.

👥 Who Is Nous Research Best Suited For?

👨‍💻 Developers

Developers are one of the clearest target groups because Hermes can work with source code, files, terminals, Git, Python, APIs, and development environments.

🔬 AI Researchers

Researchers interested in open models, agents, reinforcement learning, tool use, and self-hosted AI infrastructure can use Hermes as an experimentation platform.

🎓 Students

Students can use Hermes for programming, research, data analysis, writing, automation, and learning how AI agents operate.

🚀 Indie Hackers

Solo founders can combine product research, programming, content creation, competitor monitoring, and automation into one agent workflow.

📣 Marketing Professionals

Marketing users can apply Hermes to competitor research, reporting, market monitoring, data collection, and content workflows.

🎨 Designers

Designers can use Hermes for image-generation workflows and technical automation, although dedicated design applications remain better suited to detailed visual editing.

🏢 Businesses

Businesses with technical teams can use Hermes for internal automation, development, research, reporting, and operational workflows.

👤 General Users

General users can use Hermes, but it is not necessarily the easiest option. If your needs are limited to chatting, summarizing documents, or writing emails, a conventional AI assistant will usually involve less setup.

🌎 Global Usage and Adoption

Nous Research does not currently publish a reliable, independently audited country-by-country user breakdown for Hermes Agent. There is also no sufficiently verified public figure that can be presented as the exact number of active Hermes users.

The strongest public indicators come from its open-source community. The Hermes Agent repository has attracted substantial attention on GitHub, including a large number of stars and forks. These figures demonstrate developer interest, but they should not be confused with active users, downloads, or paying customers.

The wider Nous Research organization also maintains a large collection of open-source projects covering language models, reinforcement learning, agents, and AI infrastructure.

Hermes has a global audience because the software can be self-hosted and connected to different AI providers. However, exact usage percentages for the United States, Europe, Japan, China, Southeast Asia, or other regions are not publicly documented well enough to make a reliable ranking.

For an AI-tool directory or product review, it is better to report this limitation than to turn GitHub stars or website traffic into an unsupported “user count.”

👍 Advantages

• Open-source architecture: Developers can inspect, modify, and self-host the agent.
• Model freedom: Users can work with different providers instead of being permanently locked into one model.
• Persistent memory and skills: Hermes can retain useful information and build reusable workflows.
• Broad tool access: Web search, browser automation, code execution, image generation, messaging, and other capabilities can be combined.
• Flexible deployment: It can run locally, on a server, or through cloud infrastructure.

⚠️ Disadvantages

• Higher learning curve: It is more technical than mainstream AI chat applications.
• Operating costs can vary: Although the software is free, model APIs, cloud servers, and external tools can cost money.
• Rapid development: Features and interfaces can change quickly as the project evolves.
• Requires careful permissions: Giving an autonomous agent access to files, terminals, browsers, or accounts creates additional security considerations.

⚖️ Nous Research / Hermes vs. Similar AI Tools

The key difference is the level of control. ChatGPT is designed primarily as a polished general-purpose AI service. Claude Code and Codex are more heavily focused on software development. Open WebUI provides a self-hosted interface for working with AI models.

Hermes is positioned more broadly as an autonomous AI agent framework. It can combine different models, tools, memory, skills, files, code execution, and external services.

That makes Hermes particularly interesting for users who want to build their own AI workflow rather than simply consume an AI service.

🧪 A Practical Example

Imagine you operate an AI-tools website and need a competitor report every Monday.

A Hermes workflow could:

1. Search the websites of selected competitors.
2. Collect product and pricing changes.
3. Compare the new information with the previous week's report.
4. Identify important changes.
5. Write a structured report.
6. Save the report as HTML or Markdown.
7. Send a summary to a messaging channel.

A conventional chatbot can certainly write the final report. The difference is that Hermes can potentially handle the research, collection, comparison, writing, saving, scheduling, and delivery as one workflow.

That is where the agent approach becomes more useful than simply asking an AI model a question.

💡 When Is Hermes Worth Using?

Hermes makes the most sense when your work involves multiple steps and repeated actions.

If you only need an answer, a summary, or a short piece of writing, setting up an autonomous agent may be unnecessary. But if you regularly search websites, process files, run scripts, update reports, monitor competitors, or perform repetitive development tasks, Hermes becomes much more interesting.

The open-source architecture is another reason to consider it. Users who care about self-hosting, model selection, data control, or customized workflows can build an environment around Hermes instead of relying entirely on a vendor's predefined application.

🎯 Final Assessment

Nous Research is a particularly interesting project for users who want to move beyond ordinary AI chat. Its strongest value is not simply the quality of one generated answer. The real proposition is the combination of open models, autonomous agents, persistent memory, reusable skills, external tools, and flexible deployment.

Hermes is a good fit for: developers, AI researchers, technical founders, advanced students, automation enthusiasts, indie hackers, and technical business teams.

It is worth trying when: you want an AI agent that can search, browse, execute code, work with files, remember previous work, create reusable skills, automate recurring tasks, and connect to different services.

It may not be the right choice when: you want a simple chatbot, a zero-configuration writing assistant, or a dedicated professional design application.

The simplest way to understand Hermes is this: it is not primarily an AI that gives you answers; it is an AI system designed to perform work. That distinction is what makes Nous Research worth following, especially for developers and advanced users interested in the next generation of open AI agents.