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Distributed Query Delivery

Harper’s Distributed Query Delivery solution moves APIs and the data they rely on to the edge, creating a multi‑protocol query delivery layer near every user. Streaming changes from your origin sources to distributed Harper nodes resolves queries at the edge instead of fanning out across microservices. This dramatically cuts latency and cloud costs, providing measurable improvements in performance, reliability, and total cost of ownership.

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Distributed Query Delivery

at Harper

May 8, 2025

at Harper

May 8, 2025

at Harper

May 8, 2025

May 8, 2025

Harper’s Distributed Query Delivery solution moves APIs and the data they rely on to the edge, creating a multi‑protocol query delivery layer near every user. Streaming changes from your origin sources to distributed Harper nodes resolves queries at the edge instead of fanning out across microservices. This dramatically cuts latency and cloud costs, providing measurable improvements in performance, reliability, and total cost of ownership.

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Harper 5.0 Is Here: Open Source, RocksDB, and a Runtime Built for the Agentic Era

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Harper is Officially Open Source

Harper’s Stephen Goldberg Named Most Admired CEO by the Denver Business Journal

Harper’s Distributed Query Delivery solution moves APIs and the data they rely on to the edge, creating a multi‑protocol query delivery layer near every user. Streaming changes from your origin sources to distributed Harper nodes resolves queries at the edge instead of fanning out across microservices. This dramatically cuts latency and cloud costs, providing measurable improvements in performance, reliability, and total cost of ownership.

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Harper’s Distributed Query Delivery solution moves APIs and the data they rely on to the edge, creating a multi‑protocol query delivery layer near every user. Streaming changes from your origin sources to distributed Harper nodes resolves queries at the edge instead of fanning out across microservices. This dramatically cuts latency and cloud costs, providing measurable improvements in performance, reliability, and total cost of ownership.

Download

White arrow pointing right

Harper’s Distributed Query Delivery solution moves APIs and the data they rely on to the edge, creating a multi‑protocol query delivery layer near every user. Streaming changes from your origin sources to distributed Harper nodes resolves queries at the edge instead of fanning out across microservices. This dramatically cuts latency and cloud costs, providing measurable improvements in performance, reliability, and total cost of ownership.

Download

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Explore Recent Resources

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Harper is now open source, with its core platform released under Apache 2.0 and enterprise features source-available. This shift builds trust, enables community contributions, and positions Harper as a unified, transparent platform for developers and AI-driven applications.

Blog

Harper is now open source, with its core platform released under Apache 2.0 and enterprise features source-available. This shift builds trust, enables community contributions, and positions Harper as a unified, transparent platform for developers and AI-driven applications.

Ethan Arrowood

Senior Software Engineer

Open Sourcing Harper

Harper is now open source, with its core platform released under Apache 2.0 and enterprise features source-available. This shift builds trust, enables community contributions, and positions Harper as a unified, transparent platform for developers and AI-driven applications.

Open Sourcing Harper

Harper is now open source, with its core platform released under Apache 2.0 and enterprise features source-available. This shift builds trust, enables community contributions, and positions Harper as a unified, transparent platform for developers and AI-driven applications.

Open Sourcing Harper

Harper is now open source, with its core platform released under Apache 2.0 and enterprise features source-available. This shift builds trust, enables community contributions, and positions Harper as a unified, transparent platform for developers and AI-driven applications.

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Harper v5's Resource API maps JavaScript class methods directly to HTTP verbs, eliminating routing and translation layers. Tables extend the same Resource class, unifying HTTP handling and data access into one interface. Key v5 additions include pre-parsed RequestTarget objects, Response-aware source caching with stale-while-revalidate support, and async context tracking via getContext().

Blog

Harper v5's Resource API maps JavaScript class methods directly to HTTP verbs, eliminating routing and translation layers. Tables extend the same Resource class, unifying HTTP handling and data access into one interface. Key v5 additions include pre-parsed RequestTarget objects, Response-aware source caching with stale-while-revalidate support, and async context tracking via getContext().

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The Resource API in Harper v5: HTTP Done Right

Harper v5's Resource API maps JavaScript class methods directly to HTTP verbs, eliminating routing and translation layers. Tables extend the same Resource class, unifying HTTP handling and data access into one interface. Key v5 additions include pre-parsed RequestTarget objects, Response-aware source caching with stale-while-revalidate support, and async context tracking via getContext().

The Resource API in Harper v5: HTTP Done Right

Harper v5's Resource API maps JavaScript class methods directly to HTTP verbs, eliminating routing and translation layers. Tables extend the same Resource class, unifying HTTP handling and data access into one interface. Key v5 additions include pre-parsed RequestTarget objects, Response-aware source caching with stale-while-revalidate support, and async context tracking via getContext().

The Resource API in Harper v5: HTTP Done Right

Harper v5's Resource API maps JavaScript class methods directly to HTTP verbs, eliminating routing and translation layers. Tables extend the same Resource class, unifying HTTP handling and data access into one interface. Key v5 additions include pre-parsed RequestTarget objects, Response-aware source caching with stale-while-revalidate support, and async context tracking via getContext().

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News

Harper 5.0 launches with a fully open-source core under Apache 2.0, RocksDB as a native storage engine alongside LMDB, and source-available Harper Pro. This release delivers a unified runtime purpose-built for agentic engineering, from prototype to production.

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Harper 5.0 launches with a fully open-source core under Apache 2.0, RocksDB as a native storage engine alongside LMDB, and source-available Harper Pro. This release delivers a unified runtime purpose-built for agentic engineering, from prototype to production.

Harper 5.0 Is Here: Open Source, RocksDB, and a Runtime Built for the Agentic Era

Harper 5.0 launches with a fully open-source core under Apache 2.0, RocksDB as a native storage engine alongside LMDB, and source-available Harper Pro. This release delivers a unified runtime purpose-built for agentic engineering, from prototype to production.

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Podcast

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In this podcast episode, Daniel Roe, lead of the Nuxt framework, shares insights on Nuxt 3, 4, and the upcoming Nuxt 5 release. We discuss open-source development, upgrading Nuxt apps, Vue-powered full-stack web apps, version maintenance, and the future of modern web development.

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In this podcast episode, Daniel Roe, lead of the Nuxt framework, shares insights on Nuxt 3, 4, and the upcoming Nuxt 5 release. We discuss open-source development, upgrading Nuxt apps, Vue-powered full-stack web apps, version maintenance, and the future of modern web development.

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In this podcast episode, Daniel Roe, lead of the Nuxt framework, shares insights on Nuxt 3, 4, and the upcoming Nuxt 5 release. We discuss open-source development, upgrading Nuxt apps, Vue-powered full-stack web apps, version maintenance, and the future of modern web development.

Most LLM Calls Are Waste. Here's the Math.

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Blog

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Most LLM Calls Are Waste. Here's the Math.

Semantic caching for LLMs can reduce API costs by 20–70% by reusing similar responses. Combined with deterministic routing and improved retrieval, enterprises can significantly lower LLM usage, though effectiveness varies by workload and improves over time.

Most LLM Calls Are Waste. Here's the Math.

Semantic caching for LLMs can reduce API costs by 20–70% by reusing similar responses. Combined with deterministic routing and improved retrieval, enterprises can significantly lower LLM usage, though effectiveness varies by workload and improves over time.

Most LLM Calls Are Waste. Here's the Math.

Semantic caching for LLMs can reduce API costs by 20–70% by reusing similar responses. Combined with deterministic routing and improved retrieval, enterprises can significantly lower LLM usage, though effectiveness varies by workload and improves over time.

Build a Conversational AI Agent on Harper in 5 Minutes

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Build a Conversational AI Agent on Harper in 5 Minutes

Build a conversational AI agent in minutes using Harper’s unified platform. This guide shows how to create, deploy, and scale real-time AI agents with built-in database, vector search, and APIs—eliminating infrastructure complexity for faster development.

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