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Agents on Harper: A Practical Guide

A practical guide to building AI agents on Harper. Learn how Harper’s unified runtime supports agentic workloads with local data, durable state, native protocols, deterministic logic, and full-stack hosting, plus how it compares to LangChain, vector databases, memory layers, and hosted agent platforms.
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Agents on Harper: A Practical Guide

Harper
at Harper
May 11, 2026
Harper
at Harper
May 11, 2026
Harper
at Harper
May 11, 2026
May 11, 2026
A practical guide to building AI agents on Harper. Learn how Harper’s unified runtime supports agentic workloads with local data, durable state, native protocols, deterministic logic, and full-stack hosting, plus how it compares to LangChain, vector databases, memory layers, and hosted agent platforms.
Harper
A practical guide to building AI agents on Harper. Learn how Harper’s unified runtime supports agentic workloads with local data, durable state, native protocols, deterministic logic, and full-stack hosting, plus how it compares to LangChain, vector databases, memory layers, and hosted agent platforms.

Download

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A practical guide to building AI agents on Harper. Learn how Harper’s unified runtime supports agentic workloads with local data, durable state, native protocols, deterministic logic, and full-stack hosting, plus how it compares to LangChain, vector databases, memory layers, and hosted agent platforms.

Download

White arrow pointing right
A practical guide to building AI agents on Harper. Learn how Harper’s unified runtime supports agentic workloads with local data, durable state, native protocols, deterministic logic, and full-stack hosting, plus how it compares to LangChain, vector databases, memory layers, and hosted agent platforms.

Download

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

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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.
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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.
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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
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Aleks Haugom
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Aleks Haugom
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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
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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.
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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
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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