productivity · free
Hermes Agent
About
Nous Research's self-improving local AI agent — persistent memory, 40+ skills, writes new skills from real work.
Hermes Agent is a local AI agent from Nous Research. It is hosted and developed on GitHub. The repository describes it as a self-improving agent with persistent memory and over 40 built-in skills. It can write new skills based on tasks it performs. The project is open-source and free to use.
What is Hermes Agent?
According to the GitHub repository, Hermes Agent is designed to run entirely on local hardware. It maintains a persistent memory that allows it to recall information across sessions. The agent comes with more than 40 pre-installed skills. These cover common actions like web browsing, file manipulation, and code execution. The distinguishing feature is its ability to generate new skills from the work it does. When it encounters a novel task, it can write and save a new skill, then reuse it later. This self-improvement loop is the core of the project, as described in the documentation. Hermes Agent is built by Nous Research, an organization known for open-source AI work. The repository currently shows 221400 stars, which indicates a high level of community interest.
Who is Hermes Agent for?
The documentation suggests Hermes Agent is aimed at developers and researchers who want an autonomous AI that can run on their own computers without cloud dependencies. Users who need a customizable agent that can learn new behaviors over time are the target audience. The open-source nature means anyone can fork the repository and modify the code. The 40+ skills provide a starting point for automation tasks, and the ability to create new skills makes it useful for repetitive workflows. It might also appeal to hobbyists experimenting with local AI agents. The project’s GitHub page does not mention enterprise support, so it is likely intended for individual or small team use.
How much does Hermes Agent cost?
Hermes Agent is free. The pricing model listed on the repository is free with a starting cost of $0 per month. There are no paid tiers mentioned in the documentation. Users download the code from GitHub, run it locally, and incur no licensing fees. The project appears to be fully open-source, though the specific license is not provided in the brief data. Users would need to check the repository for license details. Since it runs on local hardware, no paid cloud services are required, but users must supply their own computing resources (GPU recommended for performance).