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    Hermes Agent - Build, Deploy & Scale Autonomous AI

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    Deployed on AWS
    Hermes Agent enables organizations & individuals to create autonomous AI agents that execute tasks, manage workflows, and integrate with modern tools. Create and scale AI agents using Hermes extensible open-source platform that learn ,adapt and improve from the interactions

    Overview

    Important: For step by step guide on how to setup this vm , please refer to our Getting Started guide 

    Hermes Agent is an open-source, production-ready framework for building, deploying, and scaling autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention.

    It extends the capabilities of large language models beyond traditional conversational AI by enabling intelligent agents to use external tools, execute code, browse the web, interact with APIs, manage files, and orchestrate multi-step workflows within a unified and extensible platform.

    This offer delivers a fully provisioned Hermes Agent environment with all required components pre-installed and configured for immediate use.

    Key Features:

    Autonomous AI Agents

    • Build AI agents capable of planning, reasoning, and executing complex tasks with minimal human intervention

    Persistent Memory

    • Maintain long-term context across interactions, enabling agents to retain knowledge and deliver more consistent, personalized responses.

    Workflow Automation

    • Automate repetitive and multi-step processes to improve operational efficiency and reduce manual effort.

    Multi-Model Support

    • Connect to leading AI models and providers, allowing flexibility in selecting the best model for your requirements.

    Why Choose Techlatest vm?

    Upon deployment, users gain access to a ready-to-run Hermes Agent instance, eliminating the need for manual setup and significantly reducing deployment time.

    The virtual machine includes:

    • Hermes CLI for advanced agent administration, workflow management, and configuration,

    • A browser-based dashboard that provides a user-friendly interface for monitoring agent activity, managing workflows, and interacting with deployed agents.

    Disclaimer: Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and/or names or their products and are the property of their respective owners. We disclaim proprietary interest in the marks and names of others.

    Highlights

    • Create, deploy, and scale AI agents that automate, learn and adapt.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
    New

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    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Hermes Agent - Build, Deploy & Scale Autonomous AI

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (928)

     Info
    • ...
    Dimension
    Cost/hour
    t2.xlarge
    Recommended
    $0.13
    u7i-8tb.112xlarge
    $0.13
    r8in.48xlarge
    $0.13
    r8in.metal-48xl
    $0.13
    trn2.48xlarge
    $0.13
    x8i.48xlarge
    $0.13
    x8i.metal-48xl
    $0.13
    u-3tb1.56xlarge
    $0.13
    u-6tb1.56xlarge
    $0.13
    x8i.64xlarge
    $0.13

    Vendor refund policy

    Will be charged for usage, can be canceled anytime and usage fee is non refundable.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    first release

    Additional details

    Usage instructions

    1. On the EC2 Console page, instance is up and running. To connect to this instance through putty, copy the IPv4 Public IP Address (refer Putty Guide available at https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/connect-linux-inst-from-windows.html  for details on how to connect using putty/ssh)

    2. Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to SSH->Auth, click on Open

    3. login as ubuntu.

    4. run below command to set the ubuntu user password.

      sudo passwd ubuntu

    5. Now the password for ubuntu user is set, you can connect to the VM's desktop environment from any local Windows Machine using RDP protocol or Linux Machine using Remmina.

      From your local windows machine, goto "start" menu, in the search box type and select "Remote desktop connection". In the "Remote Desktop connection" wizard, copy the public IP address and click connect

    6. This will connect you to the VM's desktop environment. Provide the username "ubuntu" and the password set in the above "Reset password" step to authenticate. Click OK

    7. Now you are connected to the VM's desktop environment via Windows Machine.

    8. The vm will generate a random password to login to Open Notebook Web Interface. To get the password run below command from ssh terminal

      cat /home/ubuntu/open-notebook-local/open_notebook_credentials.txt

    9. Now copy paste the public Ip of the VM in your local browser as https://public_ip_of_vm. Please make sure to use HTTPS and not HTTP. Provide the password you received in above step and login to the web interface.

      For more details please visit - https://www.techlatest.net/support/open_notebook_support/aws_gettingstartedguide/index.html 

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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