In the AI agent field in 2026, a new product called "Hermes" is attracting widespread attention. Developed by the Nous Research team, the Hermes Agent has received an impressive 90,000+ stars on GitHub, showing its strong market appeal. Compared to the former open-source agent leader OpenClaw (Lobster), Hermes Agent not only demonstrates strong capabilities but also directly challenges "Lobster".
OpenClaw is known for its strong connectivity, allowing integration with various office software such as Feishu, DingTalk, and Slack, becoming the "gateway" of the AI operating system. However, Hermes Agent focuses on enhancing "execution power" and "self-evolution". Unlike OpenClaw's "diplomat" image, Hermes is more like a "solitary wolf" constantly self-reinforcing, focusing on meeting developers' needs for efficient AI assistants.
The highlight of Hermes Agent lies in its unique "self-evolution" mechanism. After completing complex tasks, it automatically generates structured Skill documents and stores them in Markdown format, following open standards. Hermes can automatically iterate and update these skills in subsequent uses, truly realizing AI writing rules itself.
Specifically, Hermes Agent has the following four advantages:
1. Self-generated and evolved skills, improving reusability efficiency.
2. Multi-level persistent memory, maintaining a deep understanding of long-term projects.
3. Support for over 400 mainstream models, switching seamlessly.
4. Extremely low operating costs, ensuring economic efficiency.
Since its open source release at the beginning of this year, the growth of Hermes Agent has been remarkable, gaining nearly 40,000 stars within 42 days. It not only performs well on GitHub but also sparks heated discussions on technical communities such as Hacker News, Reddit, and Twitter, becoming a popular topic among developers.
In practical applications, Hermes Agent has demonstrated powerful capabilities, able to achieve daily operations automation, industry research and decision support, execution of technical tasks, and programming assistance, among other functions. Additionally, the installation process is very simple, requiring only one command to complete, compatible with Linux, macOS, Windows, and Android devices.
Although Hermes Agent does not directly replace OpenClaw, it represents two different paths in the development of AI agents. In terms of self-evolution and economic efficiency, Hermes Agent clearly leads the way. As competition in open-source AI agents continues to intensify, the rise of Hermes Agent marks the beginning of a new stage.
https://github.com/nousresearch/hermes-agent
Key points:
🌟 Hermes Agent has received 46,600 GitHub stars in just two months, demonstrating strong appeal.
🤖 Its "self-evolution" mechanism can automatically generate and update skill documents, improving AI execution efficiency.
💡 Hermes Agent has already shown strong automation and decision support capabilities in multiple practical scenarios.
