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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.
Report

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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Explore Recent Resources

Media Coverage
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Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Media Coverage
InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio, Staff Editor at InfoQ
Renato Losio
InfoQ Staff Editor
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Aug 2026
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio