Introduction to Hermes Agent

Hermes Agent, an open-source AI agent developed by Nous Research, is engineered to execute complex tasks, retain learned knowledge, and evolve over time. Beyond simple response generation, it leverages a suite of tools—including a terminal, browser, file system, web search, and code execution capabilities—to autonomously complete workloads.

Understanding AI Agents

Unlike traditional AI models that primarily generate text, an AI agent operates by pursuing a specific goal. It independently determines the necessary actions, utilizes available tools, observes outcomes, and iteratively refines its approach to achieve the desired result.

While many AI agents are capable of tool usage and multi-step task completion, their behavior post-task varies. Some treat every interaction as an isolated problem. In contrast, Hermes is architected to preserve valuable knowledge and established procedures, ensuring that its utility deepens with continued use. For insights into applying this to agent operations on DaDesktop, refer to Agentic AI.

Distinguishing Features of Hermes

Hermes incorporates an integrated learning loop that enables it to derive skills from practical experience, refine those skills during operation, retain critical information, and retrieve context from prior sessions when necessary.

Reasons to Choose Hermes Agent

Hermes excels in scenarios involving multi-step processes, diverse tools, or multiple applications. Rather than manually toggling between AI chats, terminals, browsers, and file explorers, you can assign the overarching objective to Hermes and allow it to orchestrate the workflow.

• Execute Complete Workflows: Provide high-level objectives instead of granular, step-by-step instructions.
• Maintain Long-Term Context: Preserve relevant information across distinct sessions.
• Create Reusable Workflows: Store successful methodologies as skills to avoid redundant problem-solving.
• Automate Routine Tasks: Schedule tasks to execute autonomously in the background.
• Delegate Subtasks: Utilize dedicated subagents for specific components of larger projects.
• Select Your Model: Integrate Hermes with local models or preferred cloud model providers.

Capabilities of Hermes

• Software Development: Analyze code, debug issues, implement changes, execute tests, and manage repositories.
• Research: Conduct web searches, examine sources, aggregate data, and organize findings.
• Automation: Execute scripts and schedule regular activities such as reporting, monitoring, and other routine operations.
• System Administration: Utilize the terminal, install software, configure systems, and resolve technical issues.
• Browser Interactions: Navigate websites, interact with dynamic content, and extract information.
• File Management: Read, create, edit, search, and organize digital files.
• Tool Integrations: Connect external services and tools via MCP.

Continuous Improvement Through Usage

Consider a complex task requiring multiple steps. As Hermes resolves it, it may identify an effective workflow. Rather than discarding this insight upon completion, it saves the workflow as a skill, preserving the knowledge for future reference.

When a similar task arises, Hermes can leverage this stored skill as a foundation. If the workflow requires refinement, the skill can be updated accordingly. Its memory also retains key facts and lessons learned from previous engagements.

Memory and skills serve distinct but complementary functions: memory archives valuable context and information, while skills encapsulate procedural knowledge. Combined, they enable Hermes to accumulate deep understanding of both its knowledge base and the execution of recurring tasks.

Background Automation

Hermes features a built-in scheduler for recurring tasks. You can define schedules using natural language, allowing Hermes to perform work autonomously without requiring an active session start.

This functionality is ideal for reports, monitoring, backups, research, and other routines. Scheduled tasks can also maintain continuity between executions, allowing them to build upon previous results.

Flexibility with Local and Cloud Models

Hermes is not restricted to a single LLM. You can connect it to local models or supported cloud providers and switch models without altering the agent's tools, memory, or established workflows.

Utilizing a local model offers greater control over the model, hardware, and data processing location. It also enables Hermes to operate on your files and local resources without transmitting them to external model providers.

Installing Hermes

Hermes is compatible with Linux, macOS, Windows, and WSL2. You may install the desktop application or utilize the command-line interface independently.

To install on Linux, macOS, or WSL2, open a terminal and execute:

curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash

For Windows, run the installer via PowerShell:

irm https://hermes-agent.nousresearch.com/install.ps1 | iex

Post-installation, run the setup wizard to configure your model provider and other preferences:

hermes setup

Refer to the Hermes documentation for detailed installation options and configuration guidelines.

Running Hermes on DaDesktop

Hermes requires an environment capable of executing its tools and storing its data. DaDesktop offers a cloud desktop equipped with the necessary CPU, RAM, storage, and GPU resources to run Hermes alongside a local LLM.

This setup is particularly beneficial when the selected model requires more VRAM than your local hardware provides. Select a GPU with sufficient VRAM, launch a DaDesktop instance, install Hermes, and run the model locally in conjunction with the agent.

Additionally, you can keep the desktop active for scheduled tasks and long-running workflows, eliminating the need to keep your personal computer powered on.

Discover more about running local LLMs on DaDesktop.