What is the Hermes Agent?
The Hermes Agent is an open-source AI framework developed by Nous Research, engineered to execute complex tasks, retain learned knowledge, and enhance its capabilities over time. It leverages utilities like terminals, browsers, file systems, web search, and code execution environments to accomplish objectives rather than simply generating text-based replies.
What defines an AI agent?
An AI agent transcends the ability to merely generate text. When assigned a specific goal, it autonomously determines the necessary actions, utilizes available tools, evaluates outcomes, and persists in working toward the objective.
While numerous AI agents can utilize tools to finish multi-stage assignments, the distinguishing factor lies in post-task behavior. Some agents approach every assignment as a completely new challenge. In contrast, Hermes is architected to preserve valuable insights and procedures, enabling it to become increasingly effective with time. For more information on how this applies to deploying agents on DaDesktop, refer to Agentic AI.
What distinguishes Hermes?
Hermes incorporates an integrated learning cycle. It generates skills based on past experiences, refines those skills during operation, retains pertinent information, and can query prior sessions when historical data is required to inform current work.
Persistent memory
Hermes retains critical details regarding your preferences, projects, and operational environment across multiple sessions.
Evolving skills
Hermes transforms effective workflows into reusable skills and continuously optimizes them as more efficient methods for task execution are discovered.
Session history
Hermes can retrieve data from previous conversations to uncover contextually relevant information for current operations.
Reasons to utilize the Hermes Agent
Hermes proves particularly valuable for tasks that encompass multiple steps, tools, or applications. Rather than constantly toggling between AI chat interfaces, terminals, browsers, and file directories, you can assign the overarching objective to Hermes and allow it to orchestrate the execution.
- Complete full tasks: Assign Hermes a primary objective rather than requesting isolated instructions.
- Maintain temporal context: Preserve useful information across distinct sessions.
- Develop reusable workflows: Store proven methods as skills to avoid re-solving identical problems from the ground up.
- Streamline repetitive tasks: Automate the scheduling of background processes.
- Offload specialized work: Employ dedicated sub-agents for distinct components of larger projects.
- Select your model: Integrate Hermes with local models or compatible cloud-based model providers.
Hermes Capabilities
- Software development: Analyze code, identify and resolve bugs, implement modifications, execute tests, and manage repositories.
- Research: Perform web searches, examine sources, aggregate data, and structure findings.
- Automation: Execute scripts and schedule recurring operations such as reporting, monitoring, and other standard procedures.
- System administration: Utilize terminal commands, install software, configure systems, and diagnose issues.
- Browser operations: Navigate websites, interact with web elements, and gather data.
- File management: Read, create, modify, search, and organize files.
- Tool integration: Connect external services and utilities via MCP.
How Hermes evolves through usage
Consider a scenario where you assign Hermes a complex, multi-step task. During the resolution process, Hermes may identify an efficient workflow. Instead of discarding this knowledge upon completion, it can store the workflow as a skill.
Should a similar task arise in the future, Hermes can leverage this stored skill as a foundational approach. If the workflow requires optimization, the skill can be updated accordingly. Furthermore, its memory function can preserve key facts and lessons learned from prior activities.
Memory and skills serve complementary roles. Memory retains contextual information and facts, whereas skills encapsulate procedural steps for executing tasks. Combined, these features enable Hermes to accumulate comprehensive knowledge regarding both its informational state and its execution capabilities for recurring work.
Background task automation
Hermes features a native scheduler for repetitive tasks. You can define schedules using natural language, allowing Hermes to execute work without requiring you to initiate a new session.
This functionality is ideal for generating reports, monitoring systems, performing backups, conducting research, and managing other routines. Scheduled tasks can maintain continuity between executions, enabling them to build upon previously completed work.
Executing local or cloud-based models
Hermes is not restricted to a single LLM. You can connect it to local models or supported cloud providers and swap models without altering the agent’s tools, memory structures, or workflows.
Running a local model provides greater control over the model, hardware, and data processing locations. It also allows Hermes to interact with your files and local resources without transmitting data to an external model provider.
Installation guide for Hermes
Hermes is compatible with Linux, macOS, Windows, and WSL2. You may choose to install the desktop application or utilize the command-line interface independently of the desktop version.
For Linux, macOS, or WSL2 environments, open a terminal and execute the following:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bashFor Windows users, run the installer via PowerShell:
irm https://hermes-agent.nousresearch.com/install.ps1 | iexOnce installed, launch the setup wizard to configure your model provider and other parameters:
hermes setupFor detailed installation options and configuration instructions, consult the Hermes documentation.
Running Hermes on DaDesktop
Hermes requires an environment capable of executing its tools and storing its data. DaDesktop offers a cloud-based desktop equipped with the necessary CPU, RAM, storage, and GPU resources to run Hermes in conjunction with a local LLM.
This setup is particularly beneficial when the desired model demands more VRAM than your local hardware can support. Select a GPU with sufficient VRAM, launch a DaDesktop environment, install Hermes, and execute the model locally alongside the agent.
You can also keep the desktop active for scheduled tasks and long-duration workflows, eliminating the need to keep your personal computer running continuously.
Discover more about running local LLMs on DaDesktop.
Try Hermes Agent
A ready-to-use desktop with Hermes Agent and a local model already installed and configured. Launch and start running, no setup required.