The video presents an updated guide to Hermes AI Desktop’s bot mode, showcasing new features like managing multiple bot backends across devices, a remote “bot screen” for interactive control, and multi-bot group chats for coordinated workflows. These enhancements improve flexibility, real-time collaboration, and project management, despite some current performance limitations that are actively being addressed.
The video provides an updated guide to the bot mode feature in the Hermes AI Desktop app, highlighting new improvements and practical uses based on the creator’s extensive experience. The presenter introduces the concept of managing multiple backends within bot mode, demonstrating how different devices such as a PC, a Linux laptop, and a powerful DGX Spark machine can be connected and managed through SSH. This setup allows for efficient handling of multiple bot profiles across devices, enhancing performance and flexibility. The user interface has also been improved, with customizable text sizes and UI scaling to accommodate different user needs, such as better readability.
A significant new feature showcased is the “bot screen,” which allows users to remotely view and control the screen of a bot running on a remote device like the DGX Spark. This feature enables direct interaction with the bot’s environment, such as opening files or web browsers, and visually monitoring tasks in real-time. The presenter demonstrates this with a project involving an infinite canvas workflow builder, where nodes and to-do lists can be manipulated visually. This integration of visual tools with bot interactions streamlines complex workflow management, making it easier to track and adjust tasks collaboratively with the AI agents.
The workflow project discussed uses React Flow to create a dynamic canvas where nodes represent different stages or tasks, each with checklists and statuses like “proposed,” “configured,” or “not configured.” The bot can modify this canvas based on prompts, adding new nodes or updating task lists, which helps in organizing and visualizing complex processes such as managing a print-on-demand business. This approach exemplifies how bot mode can be leveraged for practical, real-world applications that require both automation and human oversight, enhancing productivity and clarity in project management.
The video also explores the use of multi-bot group chats, where multiple agents with distinct roles collaborate within a shared chat environment. The presenter uses an example group with two bots: one managing marketing campaigns and the other handling project management operations. This setup allows the bots to share context and coordinate tasks, such as generating weekly reports and monitoring site health, without the user needing to duplicate information across separate sessions. While switching between bots can sometimes be slow, increasing the number of “warm bot backends” helps improve responsiveness, and the team is actively working on further performance enhancements.
In conclusion, the video highlights the evolving capabilities of Hermes AI’s bot mode, emphasizing the value of the bot screen for interactive control and the practicality of group chats for coordinated multi-agent workflows. The presenter acknowledges current limitations like occasional lag but remains optimistic about ongoing improvements. Viewers are encouraged to share their experiences and suggestions for further development. Overall, the guide offers a comprehensive look at how to maximize bot mode’s potential for both individual and collaborative AI agent use cases.