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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:
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Hermes CLI for advanced agent administration, workflow management, and configuration,
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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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.
Pricing
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.
Dimension | Cost/hour |
|---|---|
t2.xlarge Recommended | $0.13 |
u7i-8tb.112xlarge | $0.13 |
r8in.48xlarge | $0.13 |
r8in.metal-48xl | $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 |
c8i.96xlarge | $0.13 |
Dimensions summary
You pay by the hour for the software running on an Amazon EC2 instance. Each dimension maps to a specific EC2 instance type, so your rate depends on the instance you pick. Smaller instances like large and xlarge sizes cost less per hour, while larger multi-xlarge and metal instances cost more. Memory-optimized, compute-optimized, storage, and GPU instance families are all available. This lets you match the hardware to your workload and scale up or down. The software runs the same across all instances; the hourly charge reflects the compute capacity you select.
Top-of-mind questions for buyers
Each unit is one running Amazon EC2 instance of the type you select, billed per hour. The software runs as a pre-configured virtual machine on that instance. You pay for each hour the instance runs, and the rate matches the instance type you choose.
The hourly software charge applies while the instance runs. A fully stopped instance stops accruing software charges. You may still pay underlying AWS storage fees for the stopped instance. The software license meters running time only.
The virtual machine defaults to a t2.xlarge instance with 4 vCPUs and 16 GB RAM. You can pick a GPU instance such as g4dn types for model workloads. Your hourly rate follows the instance you select, so GPU families cost more than standard ones.
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Vendor refund policy
Will be charged for usage, can be canceled anytime and usage fee is non refundable.
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.
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
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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)
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To connect to this instance through putty, copy the IPv4 Public IP Address from the VM's details page.
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Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to SSH->Auth->Credentials, click on Open. Enter ubuntu as userid
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The VM will generate a random password to login to Hermes Web Interface. To get the password, connect via SSH terminal as shown in above step and run below command.
cat /home/ubuntu/.hermes/.env | grep HERMES_DASHBOARD_BASIC_AUTH
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To access the Hermes Web Interface, copy the public IP address of the VM and paste it in your local browser as https://public_ip_of_vm. Make sure to use https and not http.
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It will open a login page. Provide the password we got at above step and click Sign In.
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Now you are connected to out of box Hermes Web Interface.
For more details please visit - https://www.techlatest.net/support/hermes_agent_support/aws_gettingstartedguide/index.html
Support
Vendor support
Email: info@techlatest.net
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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