Hermes Agent Guide: Install, Import OpenClaw, Run with Kimi

Hermes Agent is an open-source, self-improving AI agent developed by Nous Research that can be used as a personal assistant. It learns from user interactions, continuously builds its own skills, and maintains a memory of past projects, enabling it to handle increasingly complex tasks over time. It can run locally, supports multiple AI models and messaging platforms, and is designed to automate workflows while reducing manual effort across different use cases.

As AI agents continue to grow in capability, comparing tools like Hermes Agent and OpenClaw becomes important for choosing the right solution. Each system follows a different approach to handling automation, flexibility, and user control. Here's a closer look at both options to help you understand which one fits your needs:

Getting started with Hermes AI Agent becomes much easier once the setup steps are clear and structured. The process mainly involves installing the tool, connecting it with a model provider, and running your first task. Here's a simple step-by-step approach to help you avoid errors and get the agent working smoothly:

Step 1: Open a terminal on your computer

Start by opening a terminal where you can execute commands.

macOS / Linux: use the built-in Terminal app

Windows: use WSL2 or a compatible terminal environment

This is required because Hermes runs through command-line operations. Make sure your system has internet access.

Step 2: Install Hermes Agent using the installer script

Use the official one-line installer to automatically download and set up Hermes Agent. This script installs core files and dependencies and prepares the environment for setup.

Run the following command in your terminal:

curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

Step 3: Complete post-installation setup

After installation, the next step depends on your installer output.

If you see the OpenClaw import prompt

Hermes detected an existing OpenClaw installation. Type Y and press Enter to import your current workspace, skills, and agent settings. Once the import is complete, you can continue directly to the setup wizard.

Press y to import from OpenClaw, or N to skip.

If you do not see the OpenClaw import prompt

After installation, refresh your shell so the new commands become active. Skipping this step may cause "command not found" errors when running Hermes.

Use one of the following commands depending on your shell:

If you are using Bash:

If you are using Zsh:

Step 4: Run the Hermes setup wizard

Launch the interactive setup process:

This wizard will guide you through model configuration, API keys, and basic preferences.

Step 5: Choose a model provider (Kimi/Moonshot)

During setup, select your model provider. You can use Kimi/Moonshot as your model.

Select the default model. kimi-k2.6 is Kimi's most advanced model so far.

For Kimi integration:

Provider: kimi-coding

API key: KIMI_API_KEY

Stored in: ~/.hermes/.env

Example configuration:

KIMI_API_KEY="your_api_key_here"

This allows Hermes to connect to the Kimi API for model inference.

Step 6: Activate your Kimi API

Before using the Kimi API with the Hermes Agent, activate your Kimi API Key in the Kimi Platform. We recommend $20+ to unlock Tier 2 access, which reduces latency and supports more stable performance for complex, multi-step tasks.

Step 7: Create your Kimi API Key

Once your account is activated and funded:

Go to the API Keys section in Kimi Platform

Click Create API Key

Copy your API key and store it securely

Note: The key is only shown once at creation. Make sure to copy and store it somewhere safe before closing the page.

You will use this API key in the Hermes setup to connect to Kimi:

KIMI_API_KEY="your_api_key_here"

Step 8: Enter your API key

Depending on your provider, you may be prompted to enter your Kimi API key during setup.

You can also set it manually:

export KIMI_API_KEY="your_api_key_here"

Step 9: Set up a messaging platform

Pick a messaging channel to link to your Hermes Agent, or just skip it if you're not sure.

Step 10: Launch Hermes and start your first chat

Once setup is complete, you will see a prompt asking whether to launch Hermes now. Type Y and press Enter to start chatting immediately.

Hermes will open in interactive mode, where you can start sending messages right away. For a better interface, you can run:

To launch Hermes from the terminal in the future, run:

Step 11: Run your first task

Once started, you can test the agent with a natural language instruction:

Example:

What's my disk usage? Show the top 5 largest folders.

Hermes will interpret the request and execute actions (including terminal commands if needed), returning real results rather than plain text responses.

A deeper look at the capabilities of Hermes Agent shows why it stands out from basic AI tools. The system is designed to act independently, learn over time, and handle real tasks across platforms. Each feature adds to its ability to work like a long-term digital assistant rather than a simple chatbot.

Persistent memory

Past interactions and solutions are stored, so work does not reset after each session. This helps in building long-term understanding of tasks, workflows, and user preferences. Over time, the Hermes AI Agent becomes smarter by learning from previous outcomes and improving future responses.

Built-in Tools

Ready-to-use tools such as web search, file handling, and terminal execution make tasks more practical. Instead of only generating responses, it can perform real actions in your system. This turns Hermes Agent into a hands-on assistant that can manage and process information efficiently.

Skills system

New capabilities can be added through extensions that expand functionality over time. These extensions help handle specialized tasks without rewriting instructions again and again. With Hermes Agent skills, the system continues to grow and adapt based on user needs.

Scheduled automation

Routine tasks can be automated using simple instructions written in natural language. Daily summaries, reports, or system checks can run without manual input. This makes the Hermes AI Agent useful for maintaining consistent workflows and saving time on repetitive work.

Browser automation

Online tasks become easier as the system can browse, search, and interact with websites directly. It can collect information, navigate pages, and process web-based content. Using Hermes Agent, research and data gathering become faster and more structured.

Code execution

Scripts and commands can be executed within a controlled environment, making it useful for technical tasks. It can assist in development by running code, testing outputs, and automating programming workflows. The Hermes AI Agent goes beyond guidance by actively performing these operations.

Multi-platform integration

Access across platforms such as messaging apps and terminals keeps workflows flexible. Switching between devices or apps does not interrupt progress or tasks. With Hermes Agent, users can stay connected and manage tasks from multiple environments with ease.

Hermes Agent adapts to different tasks, making it useful for developers, businesses, and everyday users. From coding to automation, it helps handle time-consuming work more efficiently. Below are some use cases of this AI agent:

AI coding assistant (CLI development support)

Working directly in the terminal becomes easier with Hermes Agent, as it can read errors, analyze code, and suggest fixes in real time. Developers can ask it to debug issues, run scripts, or even modify files without switching tools. This reduces manual effort and speeds up development workflows. It also helps in understanding complex errors by breaking them into simpler explanations.

Workflow automation

Repetitive tasks like file organization, data processing, or system checks can be handled smoothly. Hermes Agent can execute multi-step operations without needing constant input from the user. Instead of running commands one by one, users can describe the task once and let it complete the process. This makes daily operations faster and more consistent.

Research & information gathering

Collecting and analyzing information from different sources becomes more structured. With Hermes Agent, users can perform web searches, summarise content, and extract key insights quickly. It reduces the time spent switching between tabs or reading long documents. This is especially useful for students, analysts, or anyone working on detailed research tasks.

Messaging AI assistant

Communication across platforms like Telegram or Slack can be managed in one place. Hermes Agent can respond to messages, send updates, and even handle task-related queries through chat interfaces. This keeps workflows connected without needing to open multiple apps. It also helps teams stay updated with automated responses and shared information.

Scheduled automation

Tasks that need to run at specific times can be set once and left to operate automatically. Hermes Agent can schedule reports, reminders, or updates using simple instructions. This removes the need to manually repeat the same actions every day. It is useful for maintaining regular workflows like daily summaries or system monitoring, with minimal user intervention required.

Using Hermes Agent effectively depends on how clearly you communicate and structure your tasks. Small changes in how you give instructions can lead to much better results. The following tips help you get faster, more accurate, and more useful outputs:

Be specific about what you want

Clear instructions lead to better outcomes, while vague requests often require multiple corrections. Instead of asking for a general fix, mention exact details like file names, errors, or expected results. This reduces back-and-forth and helps the agent act with precision. A well-defined request saves time and improves accuracy.

Provide context up front

Adding all relevant details at the start makes the process smoother. Include error messages, background information, or what you are trying to achieve in one message. This helps avoid repeated clarification and speeds up the response. A single detailed prompt is often more effective than several short ones.

Use Context files

Saving repeated instructions in dedicated files keeps things consistent across sessions. These files can include coding rules, project structure, or preferred tools. Once set, the agent automatically follows these guidelines without needing reminders. This is useful for maintaining standards in long-term projects.

Let the Agent use its tools

Trying to guide every step manually can limit what the agent can do. It already has access to tools like file search, terminal commands, and execution capabilities. Giving a high-level instruction allows it to explore and solve the problem efficiently. This approach often produces better and faster results.

Create Skills for repeated tasks

Tasks that involve multiple steps and are used often can be turned into reusable skills. Once created, these can be triggered with a simple command instead of rewriting instructions. This saves effort and ensures consistency in how tasks are handled. Over time, it builds a personalized system tailored to your workflow.

Conclusion

Hermes Agent stands out as a practical tool that fits into real workflows, helping users move from simple tasks to more advanced automation over time. Its ability to adapt, learn, and handle tasks across platforms makes it useful for both individuals and teams. Choosing the right setup and using it wisely can improve productivity without adding complexity.