This 100% self-improving AI Agent is insane… just watch

Summary

Hermes Agent is an open-source, self-improving AI agent designed for developers and enthusiasts, combining the strengths of OpenClaw and Cloth Code. The video guides viewers through deploying Hermes on a dedicated VPS, installing dependencies, and integrating it with messaging platforms like Telegram. Key features include a self-improving loop that evolves skills based on task performance, four distinct memory layers, and a wide range of tools and integrations. Compared to OpenClaw and Agent Zero, Hermes offers rapid adaptation, autonomous skill creation, and flexibility across models and platforms, making it a cutting-edge solution for AI-driven automation, learning, and productivity in 2026 and beyond.

Takeaways

• 🤖 Hermes Agent is a self-improving AI agent developed by Nose Research, combining features of OpenClaw and OpenCode, designed for developers but usable by anyone.
• 💻 Deployment options include VPS, GPU clusters, and serverless infrastructure, with Hostinger VPS recommended for dedicated setups.
• ⚡ Installation is streamlined via a one-line quick install script that automatically handles dependencies like Python, Node.js, and ffmpeg.
• 🧠 Hermes Agent features a four-layer memory system: Markdown-based memory, SQLite session archive, procedural memory, and optional user modeling.
• 🔄 The self-improving loop evaluates execution traces every ~15 tool calls to update prompts, skills, and code automatically.
• 🛠 Skill creation is strategic, generated when complex tasks are successfully completed or errors are resolved, enhancing future task performance.
• 📱 Hermes supports multiple integrations including Telegram, Discord, Slack, WhatsApp, Signal, CLI, and webhooks.
• 📊 Observability is built-in, displaying system prompt, token usage, elapsed time, and progress per message for monitoring.
• 📈 Comparison to other agents: Hermes is newer and developer-focused, OpenClaw is mass-market, Agent Zero is mature with some automated features.
• 🔒 Security and control are emphasized with API key management, user access restriction, and tool iteration limits to prevent misuse.
• ⚡ Users are encouraged to experiment hands-on, push agent iterations higher, and leverage SQL for memory optimization to fully utilize Hermes Agent's capabilities.

Q & A

What is Hermes agent and how does it differ from OpenClaw?

Hermes agent is a self-improving, open-source AI agent developed by Nose Research. Unlike OpenClaw, which is focused on specific use cases like developers, Hermes agent is a more general-purpose AI agent optimized for open-source models. It includes a unique self-improvement loop, where the agent evolves and improves over time based on its interactions and tool usage, without requiring manual tuning.

What is the self-improving loop in Hermes agent?

The self-improving loop in Hermes agent allows the AI to assess its previous actions, identify mistakes or inefficiencies, and update its skills accordingly. After approximately 15 tool calls, it pauses to evaluate its performance, learns from its errors, and applies changes to its prompts and skills. This process allows it to become more effective over time with minimal human intervention.

How does Hermes agent compare to Agent Zero?

Hermes agent is newer and less mature compared to Agent Zero, which has been around for nearly two years. While Hermes agent is more developer-focused and still has some rough edges, it benefits from its self-improving mechanism, which makes it easier to set up and use. Agent Zero, on the other hand, is more polished and better suited for advanced users with specific needs.

What are the key benefits of using a VPS to run Hermes agent?

Running Hermes agent on a VPS provides the agent with its own dedicated environment, improving performance and security. It allows the agent to operate independently of the user’s local system, preventing conflicts and ensuring it has the resources it needs. Additionally, using a VPS offers greater flexibility, as it can support multiple AI agents simultaneously.

How can you set up Hermes agent on a VPS?

To set up Hermes agent on a VPS, the process is straightforward. After deploying a VPS, users can create a new user specifically for Hermes and then run a single-line install script. The VPS should be set up with essential dependencies, and the agent can be configured for use through a terminal or integrated messaging platforms like Telegram.

What is the role of the 'generic evolution of prompt architectures' (GEPA) in Hermes agent?

GEPA is a research pipeline that helps Hermes agent evolve by analyzing execution traces (results of tool calls). It uses genetic algorithms to mutate and improve the agent's prompts, skills, and code based on failures or inefficiencies detected during tasks. This allows Hermes agent to adapt and enhance its performance over time without requiring manual adjustments.

What integrations are available with Hermes agent?

Hermes agent supports several integrations, including messaging platforms such as Telegram, Discord, WhatsApp, and Slack. It also has integrations for web search, browser automation, file operations, image generation, and more. This wide range of integrations makes Hermes versatile for various use cases, from personal use to professional tasks.

How does Hermes agent handle memory and storage compared to OpenClaw?

Unlike OpenClaw, which uses markdown files for memory, Hermes agent employs a more sophisticated approach with four distinct memory layers, including SQLite for persistent memory. This structure allows Hermes to manage large datasets more efficiently and optimally store knowledge, improving its memory and performance over time. It also supports intelligent forgetting, which ensures that the most important knowledge is preserved.

Can Hermes agent be used for non-developers?

Yes, while Hermes agent is primarily developer-focused, it can still be used by non-developers. Its self-improving nature and ease of setup make it accessible to anyone interested in leveraging AI for personal or business tasks. Even without deep technical knowledge, users can benefit from Hermes agent's built-in skills and integrations.

What are the potential risks of using an AI agent like Hermes?

The primary risk of using Hermes agent is the potential for unintentional consequences, such as the agent performing tasks incorrectly or mishandling sensitive data. It's important to monitor its actions and set up appropriate limits (e.g., API usage caps) to prevent unwanted outcomes. Additionally, since Hermes agent is still evolving, there may be occasional bugs or unpolished features.