Click Below to Get the Code

Browse, clone, and build from real-world templates powered by Harper.
Blog
GitHub Logo

Run Your Harper AI Agent on Google Cloud Vertex AI — 3 Files Changed

This blog shows how to migrate a Harper-based AI agent from a local setup to Google Cloud Vertex AI with minimal changes—just three files—enabling scalable, production-ready deployment while preserving features like semantic caching, vector memory, and integrated tooling.
Blog

Run Your Harper AI Agent on Google Cloud Vertex AI — 3 Files Changed

Stephen Goldberg
CEO & Co-Founder
at Harper
April 14, 2026
Stephen Goldberg
CEO & Co-Founder
at Harper
April 14, 2026
Stephen Goldberg
CEO & Co-Founder
at Harper
April 14, 2026
April 14, 2026
This blog shows how to migrate a Harper-based AI agent from a local setup to Google Cloud Vertex AI with minimal changes—just three files—enabling scalable, production-ready deployment while preserving features like semantic caching, vector memory, and integrated tooling.
Stephen Goldberg
CEO & Co-Founder
This blog shows how to migrate a Harper-based AI agent from a local setup to Google Cloud Vertex AI with minimal changes—just three files—enabling scalable, production-ready deployment while preserving features like semantic caching, vector memory, and integrated tooling.

Download

White arrow pointing right
This blog shows how to migrate a Harper-based AI agent from a local setup to Google Cloud Vertex AI with minimal changes—just three files—enabling scalable, production-ready deployment while preserving features like semantic caching, vector memory, and integrated tooling.

Download

White arrow pointing right
This blog shows how to migrate a Harper-based AI agent from a local setup to Google Cloud Vertex AI with minimal changes—just three files—enabling scalable, production-ready deployment while preserving features like semantic caching, vector memory, and integrated tooling.

Download

White arrow pointing right

Explore Recent Resources

News
GitHub Logo

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Announcement
News
Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
News

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Aleks Haugom
Aug 2026
News

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Aleks Haugom
News

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Aleks Haugom
News
GitHub Logo

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.
Product Update
News
Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
News

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.
Aleks Haugom
Aug 2026
News

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.
Aleks Haugom
News

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.
Aleks Haugom
Blog
GitHub Logo

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
Blog
Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
Blog

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
Aleks Haugom
Jul 2026
Blog

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
Aleks Haugom
Blog

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
Aleks Haugom