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Edge AI Ops

This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.
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JavaScript

Edge AI Ops

Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
January 19, 2026
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
January 19, 2026
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
January 19, 2026
January 19, 2026
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
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SIMILAR RESOURCES
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Recent News
News
Aug 2026

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
Aleks Haugom
Aleks Haugom
Aleks Haugom
News
Aug 2026

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
Aleks Haugom
Aleks Haugom
Aleks Haugom
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.

Download

White arrow pointing right
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.

Download

White arrow pointing right
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.

Download

White arrow pointing right

Explore Recent Resources

Comparison
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Faster Vector Search in Harper 5.3 with Native HNSW

Explore vector index in Harper 5.3’s with benchmarks against pgvector and Harper 5.2, and the open-source Node.js package @harperfast/hnsw.
Comparison
Explore vector index in Harper 5.3’s with benchmarks against pgvector and Harper 5.2, and the open-source Node.js package @harperfast/hnsw.
Person with very short blonde hair wearing a light gray button‑up shirt, standing with arms crossed and smiling outdoors with foliage behind.
Kris Zyp
SVP of Engineering
Comparison

Faster Vector Search in Harper 5.3 with Native HNSW

Explore vector index in Harper 5.3’s with benchmarks against pgvector and Harper 5.2, and the open-source Node.js package @harperfast/hnsw.
Kris Zyp
Oct 2026
Comparison

Faster Vector Search in Harper 5.3 with Native HNSW

Explore vector index in Harper 5.3’s with benchmarks against pgvector and Harper 5.2, and the open-source Node.js package @harperfast/hnsw.
Kris Zyp
Comparison

Faster Vector Search in Harper 5.3 with Native HNSW

Explore vector index in Harper 5.3’s with benchmarks against pgvector and Harper 5.2, and the open-source Node.js package @harperfast/hnsw.
Kris Zyp
Blog
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What If Your AI App Didn’t Need All Those Services?

Explore how Harper brings search, embeddings, model access, and controlled AI decisions into one runtime, reducing the services around your AI application.
A.I.
Blog
Explore how Harper brings search, embeddings, model access, and controlled AI decisions into one runtime, reducing the services around your AI application.
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

What If Your AI App Didn’t Need All Those Services?

Explore how Harper brings search, embeddings, model access, and controlled AI decisions into one runtime, reducing the services around your AI application.
Aleks Haugom
Oct 2026
Blog

What If Your AI App Didn’t Need All Those Services?

Explore how Harper brings search, embeddings, model access, and controlled AI decisions into one runtime, reducing the services around your AI application.
Aleks Haugom
Blog

What If Your AI App Didn’t Need All Those Services?

Explore how Harper brings search, embeddings, model access, and controlled AI decisions into one runtime, reducing the services around your AI application.
Aleks Haugom
Blog
GitHub Logo

How to Build a MOP and Change Management Application Without Stitching Together a Stack

Build a MOP and change management application on Harper. Connect procedures, search, approvals, and execution without assembling a separate infrastructure stack.
Blog
Build a MOP and change management application on Harper. Connect procedures, search, approvals, and execution without assembling a separate infrastructure stack.
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

How to Build a MOP and Change Management Application Without Stitching Together a Stack

Build a MOP and change management application on Harper. Connect procedures, search, approvals, and execution without assembling a separate infrastructure stack.
Aleks Haugom
Sep 2026
Blog

How to Build a MOP and Change Management Application Without Stitching Together a Stack

Build a MOP and change management application on Harper. Connect procedures, search, approvals, and execution without assembling a separate infrastructure stack.
Aleks Haugom
Blog

How to Build a MOP and Change Management Application Without Stitching Together a Stack

Build a MOP and change management application on Harper. Connect procedures, search, approvals, and execution without assembling a separate infrastructure stack.
Aleks Haugom
Blog
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The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

Most real-time apps need a broker, a bridge, and a cache to keep state in sync. This is a live MQTT scoring demo on Harper, where the topic and the database record are the same write.
Blog
Most real-time apps need a broker, a bridge, and a cache to keep state in sync. This is a live MQTT scoring demo on Harper, where the topic and the database record are the same write.
Person with short hair wearing a light blue patterned shirt, smiling widely outdoors with blurred greenery and trees in the background.
Austin Akers
Head of Developer Relations
Blog

The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

Most real-time apps need a broker, a bridge, and a cache to keep state in sync. This is a live MQTT scoring demo on Harper, where the topic and the database record are the same write.
Austin Akers
Aug 2026
Blog

The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

Most real-time apps need a broker, a bridge, and a cache to keep state in sync. This is a live MQTT scoring demo on Harper, where the topic and the database record are the same write.
Austin Akers
Blog

The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

Most real-time apps need a broker, a bridge, and a cache to keep state in sync. This is a live MQTT scoring demo on Harper, where the topic and the database record are the same write.
Austin Akers
Blog
GitHub Logo

The Distance Problem: Why Centralized Data Paths Cost You Latency, Uptime, and Money

Cross-region latency comes from distance, not slow queries. Why centralized data paths cost you latency, uptime, and money, with a benchmark you can run.
System Design
Blog
Cross-region latency comes from distance, not slow queries. Why centralized data paths cost you latency, uptime, and money, with a benchmark you can run.
Person with short hair wearing a light blue patterned shirt, smiling widely outdoors with blurred greenery and trees in the background.
Austin Akers
Head of Developer Relations
Blog

The Distance Problem: Why Centralized Data Paths Cost You Latency, Uptime, and Money

Cross-region latency comes from distance, not slow queries. Why centralized data paths cost you latency, uptime, and money, with a benchmark you can run.
Austin Akers
Aug 2026
Blog

The Distance Problem: Why Centralized Data Paths Cost You Latency, Uptime, and Money

Cross-region latency comes from distance, not slow queries. Why centralized data paths cost you latency, uptime, and money, with a benchmark you can run.
Austin Akers
Blog

The Distance Problem: Why Centralized Data Paths Cost You Latency, Uptime, and Money

Cross-region latency comes from distance, not slow queries. Why centralized data paths cost you latency, uptime, and money, with a benchmark you can run.
Austin Akers
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
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