Sold by: SoftBank Corp.
Deployed on AWS
AGENTIC STAR deploys a complete AI agent platform on AWS using CloudFormation. Provisions an EKS cluster with System and User node groups, RDS PostgreSQL 16.6 with Multi-AZ HA, private and public S3 buckets, VPC with NAT Gateway, and 23 Kubernetes microservices via Helm. Includes Qdrant (vector DB), Chat UI, Prometheus/Grafana monitoring, Keycloak authentication, and NGINX Ingress. Routes LLM inference through LiteLLM, a multiLLM gateway, with AWS Bedrock as the native provider (external dependencies disclosed in description). One-click deployment for production-ready AI agent infrastructure.
Overview
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LoginUI
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Chat UI
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Admin Cosole
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Product video
OVERVIEW
AGENTIC STAR is a comprehensive AI Agent platform delivered as an AWS CloudFormation stack. Deploy a full-stack environment to build, manage, and run AI agents with monitoring, logging, and enterprise security built in. No manual infrastructure setup required.
KEY FEATURES
- One-Click Deployment: Provisions EKS, RDS PostgreSQL, S3 Storage, VPC, and 23 Kubernetes microservices automatically via nested CloudFormation templates
- AI-Ready Data Stack: Qdrant (vector DB), PostgreSQL with pgvector for embeddings
- Chat UI: Web interface for chat, agent configuration, and team management
- Full Observability: Prometheus, Grafana, Loki, Alloy, Container Insights
- Enterprise Security: IAM roles with least privilege, VPC-integrated networking, Keycloak authentication, NGINX Ingress with cert-manager
- LLM Flexibility: Routes LLM inference through LiteLLM, a multiLLM gateway - AWS Bedrock as the native provider plus any LiteLLM-supported model.
- Datadog Integration (Optional): Built-in Datadog support for APM and monitoring
WHAT GETS DEPLOYED
AWS Infrastructure:
- Amazon EKS cluster with System + User node groups (Auto Scaling)
- RDS PostgreSQL 16.6 with pgvector extension (Multi-AZ High Availability)
- Private S3 bucket (application data) and Public S3 bucket (CDN/static content)
- VPC with 3 subnets (1 public + 2 private), NAT Gateway, Elastic IP
- IAM roles and policies with least privilege access
- Bootstrap EC2 instance for automated Helm installation
Kubernetes Applications (23 services):
- Agent Executor, AgenticAI Admin, AgenticAI ExtAPI
- Agent Sandbox Controller
- Chat, Chat Auth (Keycloak), Keycloak Extensions
- Qdrant
- kube-prometheus-stack (Prometheus + Grafana), prometheus-adapter
- Loki, Alloy (logs + metrics), K8s Monitoring, AgenticAI Observability
- NGINX Ingress, cert-manager, ExtAuth Service, Gate Services
- DB Migration, Init Platform, PVC Lifecycle Manager, AgenticAI Datadog
- Upgrade Controller
PREREQUISITES
- AWS account with IAM permissions to create EKS, RDS, VPC, S3, EC2, IAM, Lambda, Bedrock, and CloudFormation resources
- Minimum vCPU quota for EKS node groups (Standard instances)
- LLM endpoint: AWS Bedrock (recommended), connected via the LiteLLM multiLLM gateway
EXTERNAL DEPENDENCIES
This product downloads the following external dependencies at deployment time:
- kubectl binary from kubernetes.io
- Helm binary from helm.sh
- yq binary from github.com/mikefarah/yq (GitHub)
- Helm charts and installer package from seller-managed object storage
- Container images from a seller-managed container registry
SoftBank Corp. is responsible for the availability, security, and integrity of all external dependencies hosted on seller-managed infrastructure.
SUPPORT
Contact SoftBank Corp. for deployment support, documentation, and updates.
Highlights
- One-click deployment of complete AI agent platform: EKS, PostgreSQL, 23 Kubernetes microservices via nested CloudFormation templates with automated Helm installation
- AI-ready data stack with Qdrant (vector DB), pgvector embeddings, and native AWS Bedrock integration for LLM inference
- Enterprise-grade security with IAM least privilege, VPC isolation, Keycloak authentication, and full observability (Prometheus, Grafana, Loki)
Details
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Delivery method
Delivery option
AGENTIC STAR AMI with CloudFormation (EKS Full Stack)
Latest version
Operating system
AmazonLinux Amazon Linux 2023
Deployed on AWS
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Pricing
Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. 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.
- Monthly subscription
- $1,500.00/month
Dimension | Cost/hour |
|---|---|
t3.large | $0.00 |
t3.medium | $0.00 |
m5.large | $0.00 |
m7i.large | $0.00 |
m6i.large | $0.00 |
Vendor refund policy
No refund policy
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
AGENTIC STAR AMI with CloudFormation (EKS Full Stack)
This delivery option uses nested AWS CloudFormation templates to provision the full AGENTIC STAR platform. The entry-point template (main-template.yaml) orchestrates all nested stacks: VPC with NAT Gateway, Amazon EKS cluster with managed node groups, RDS PostgreSQL 16.6 with Multi-AZ HA, S3 buckets, and an ephemeral Setup Helper EC2 instance that installs 23 Kubernetes microservices via Helm.
A placeholder Marketplace EC2 instance (t3.medium) is provisioned in the public subnet to satisfy AWS Marketplace AMI-based product requirements. This instance does not run any application workload.
External dependencies downloaded at deployment time include Helm binaries and charts from seller-managed object storage, and container images from a seller-managed container registry.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
Initial release of AGENTIC STAR on AWS Marketplace.
This version deploys a complete AI agent platform using nested AWS CloudFormation templates. Provisions an Amazon EKS cluster with System and User managed node groups, RDS PostgreSQL 16.6 with Multi-AZ HA, VPC networking with NAT Gateway, private and public S3 buckets, and 23 Kubernetes microservices via Helm.
Components included:
- EKS cluster with System and User node groups (Auto Scaling)
- RDS PostgreSQL 16.6 with pgvector extension (Multi-AZ enabled)
- Qdrant vector database
- Chat UI with Keycloak authentication
- Prometheus, Grafana, Loki, Alloy observability stack
- NGINX Ingress with cert-manager
- AWS Bedrock integration for LLM inference
- Optional Datadog APM integration
Additional details
Usage instructions
LAUNCH INSTRUCTIONS
- Subscribe to AGENTIC STAR on AWS Marketplace and click "Continue to Configuration".
- Select "CloudFormation" as the delivery method, choose your AWS Region, and click "Continue to Launch".
- Click "Launch CloudFormation" the AWS CloudFormation console opens with main-template.yaml pre-loaded.
- Fill in the required parameters: Stack name: choose a unique name (e.g., agentic-star-prod) ImageId: pre-filled by AWS Marketplace - do not change EKS node instance types and scaling limits (default: m5.2xlarge, min 2 nodes each group) RDS instance class and credentials (default identifier: marketplace-db) Admin email and password for the platform Primary language (default: ja)
- Acknowledge that CloudFormation will create IAM resources.
- Click "Create stack". Deployment takes approximately 20~30 minutes.
POST-DEPLOYMENT SETUP
After the stack reaches CREATE_COMPLETE:
- Retrieve the EKS cluster name from the CloudFormation Outputs tab.
- Run the kubectl config command shown in Outputs to authenticate with the cluster.
- Verify all 23 microservices are running: kubectl get pods -A
- Access the Chat UI at the URL shown in Outputs.
- Configure your LLM provider through the LiteLLM multiLLM gateway (e.g., AWS Bedrock region) via the platform admin panel.
- Configure Keycloak with your identity provider if required.
For full documentation, refer to the product User Guide.
Resources
Vendor resources
Support
Vendor support
SoftBank Corp. provides support for AGENTIC STAR on AWS through the official inquiry form.
Support includes:
- Assistance with AWS Marketplace deployment and CloudFormation launch issues
- Guidance for initial configuration and post-deployment setup
- Documentation for platform administration and operation
- Support for product updates and security-related notices
For support inquiries, please contact SoftBank Corp. using the following form: https://www.softbank.jp/biz/contact-us/demand/ai/agentic-star-inquiry/
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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