John D. · Agentic AI
AGENTIC AI · AWS · SECURE TOOL USE

Hermes Agent Cloud Deployment

Secure cloud-deployment architecture for an agentic AI service with controlled tool execution, model flexibility, persistent memory, and AWS security boundaries.

HermesAWSAgentic AIPersistent MemoryTool ControlIAMDocker
AGENT FLOW

Goal to controlled action

USEROperator

Provides a goal or task request.

AGENTHermes Agent

Plans and orchestrates work.

MODELModel Provider

Reasoning and generation layer.

TOOLSApproved Tools

Scoped integrations and actions.

MEMORYPersistent State

Retained context and task knowledge.

AWS ARCHITECTURE DIAGRAM

Hermes Agent AWS Reference Architecture

Reference deployment pattern for running the Hermes agent as a containerized service with controlled tools, persistent state, Bedrock integration, secrets management, observability, and least-privilege AWS access.

AWS reference architecture for Hermes Agent Cloud Deployment showing Route 53, Application Load Balancer, Amazon VPC, ECS on Fargate, Amazon Bedrock, DynamoDB, Amazon S3, Secrets Manager, CloudWatch, IAM, ECR, and GitHub Actions
The repository implements the agent MVP and documents this AWS deployment path. ECS/Fargate, DynamoDB, Secrets Manager, ECR, and CI/CD are shown as production-oriented reference components and are not presented as a currently running production stack.

Security architecture

✓ Tool access scoped to approved capabilities✓ Cloud permissions separated from model logic✓ Persistent memory isolated from runtime instructions✓ Secrets and service credentials kept outside prompts

Project links

The standalone repository demonstrates the deployment pattern, runtime configuration, Docker packaging, and security-oriented design.

MICROSOFT AZURE REFERENCE ARCHITECTURE
Microsoft Azure reference architecture diagram for hermes agent cloud deployment

Azure reference equivalent for portfolio comparison. The original project implementation remains as documented elsewhere on this page.