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Hermes Agent is an open-source AI agent that runs on your own server or computer and remembers what it learns. Nous Research released it in February 2026 under the MIT license. It writes reusable skills from tasks it has already solved.
Where and how is MCP used in software development
Scheduled reports and briefings
You describe a job in plain language, such as a weekly build summary, and Hermes runs it on a schedule. Someone still needs to check that the numbers it reports are right.
A team assistant in chat
Connect it to Slack, Telegram, or email, and the team asks it questions where they already work. Decide up front which channels it may read, because it keeps what it learns in memory.
Research and documentation lookup
It searches the web and drives a browser, so it can read documentation and summarize options before a design decision. Treat its summaries as a starting point and check the sources.
Routine engineering chores
Inside a sandbox, it can run scripts and commands, such as dependency checks or build log reviews. Keep it away from production credentials.
Parallel work with subagents
Hermes can start isolated subagents, each with its own conversation and terminal, to handle separate tasks at the same time. More agents mean more model cost and more output for a person to review.
Backups and operational checks
Scheduled jobs can run backups and routine checks unattended. For anything your business depends on, we add monitoring that does not rely on the agent itself.
Reusable team procedures
When Hermes solves a task, it can save the steps as a skill and reuse them. Skills follow the open agentskills.io standard, so your developers can read, edit, and share them.
Private, local use
You can run Hermes on your own infrastructure, which keeps project data out of third-party tools. Prompts still go to the model provider you choose, unless you run an open-weight model yourself.
why work with us
Our team consists of skilled software engineers, designers, and project managers with diverse expertise in various technologies and industries. This enables us to handle projects across domains, addressing your specific requirements effectively.
With our flexible partnership, you can easily scale your workforce based on your needs. Whether you need to expand or reduce resources, we provide rapid elasticity for optimal resource allocation and cost-effectiveness.
Embracing Agile principles, we adapt quickly to evolving project requirements, ensuring flexibility, enhanced product quality, and improved customer satisfaction. Through regular iterations and feedback loops, we align software solutions with your evolving business needs.
Our dedicated quality assurance team rigorously tests every aspect of your software to ensure optimal performance, security, and reliability. We adhere to industry-standard QA processes, guaranteeing stable and scalable software solutions.
Our meticulous handover process ensures a smooth ramp-up, facilitating efficient knowledge transfer within your project team. With clear communication channels and collaborative workflows, we align our efforts with your project goals from the start.
Experience seamless and transparent communication channels with us. We provide daily customer support through email, phone, and instant messaging. Our online system for issue reporting, bug tracking, and feature requesting ensures prompt feedback and swift resolution.
As an ISO 9001 and ISO 27001 certified company, we adhere to internationally recognized quality and information security standards, ensuring the delivery of reliable products and solutions.
Count on the stability of our services, even during team members’ absences. Our processes ensure continuous development and support, keeping your projects on track and maintaining momentum.
Main advantages OF using Hermes
Open source under the MIT license
Your developers can read, audit, and fork the code. The software itself has no license fee, but model providers and optional hosted services charge separately.
Runs on your own infrastructure
You choose where it runs, and its saved conversations, memories, and skills stay with you. Anything you send to a model provider leaves your environment.
Memory and skills that build up
Hermes keeps what it learns between sessions, so it needs less explaining over time. That memory can also hold wrong conclusions, so we review it on a regular schedule.
Your choice of model provider
It works with providers including Nous Portal, OpenRouter, OpenAI, and Anthropic, as well as custom endpoints. That lets you compare providers on cost and quality for your own tasks.
Where Hermes is not the right fit
The project is still moving fast
Hermes was released in February 2026, and its behavior changes between versions. We pin versions and test each update before it reaches your setup.
Private data, untrusted content, and outside actions
An agent that can read private data, handle content from outside, and act on other systems carries a known security risk. We design setups so it never holds all three without a person approving the action.
Processes that never change
If your steps are the same every time, a workflow tool such as n8n is cheaper to run and easier to audit. We build with both and tell you which one fits.
Decisions with real consequences
If an error could harm a person or breach a regulation, the agent should suggest and a person should decide. Agent output varies from run to run, so it should not be the last check.
Complementary technologies for Hermes
Docker
Hermes can run its commands in a Docker container instead of directly on the host machine. That keeps a mistake inside the container.
Large language model providers
The model does the reasoning, so its choice drives quality and cost. We help you test hosted models and open-weight models on your own tasks.
Slack, Telegram, and email
Hermes reaches people through these channels, so access to them needs the same care as access to any employee account. We set up which channels it can read and where it can post.
The agentskills.io standard
Skills written in this open format can be reviewed, versioned, and shared like any other code. We keep them in your repository, not only in the agent's memory.
Best practices when it comes to Hermes
Start with one task you can check
Pick a job with a clear right answer, such as a weekly report. Compare the agent's output with a person's for a few weeks before you widen the scope.
Run it in a container
Hermes can run commands directly on the host or in a sandbox such as Docker. Use the sandbox, so a bad command cannot reach your machine.
Keep private data and untrusted content apart
Do not let one agent read your private code and also process emails or web pages from strangers. Split those jobs across separate agents.
Review the skills and memory it writes
Hermes saves skills on its own. Read new ones before the team relies on them, and clear out memories that are wrong.
Keep a person approving outside actions
Sending a message, changing a ticket, or touching production should need a human yes. Loosen this only after the agent has earned it.
Back up its data and watch model costs
Back up the Hermes data directory, which holds its conversations, memories, and skills. Model usage is billed by the provider, so set a budget and review it monthly.