Harper is an open‑source Node.js platform that consolidates agent, object, and vector databases, caching, application logic, and messaging into a single in‑memory runtime. By defining a schema in GraphQL, it automatically generates a full REST API and supports URL, fetch, or native GraphQL queries, eliminating the need for controllers, routes, or ORM layers. This unified architecture delivers memory‑speed data access, higher cache hit ratios, and up to 85% fewer LLM calls for high‑performance web and AI‑agent applications.
Funding
$46.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FF+1Founders
Product
Problem
Developers must integrate separate databases, caches, messaging systems, and application logic, which creates complex architectures, high latency, and increased operational costs, especially when building AI‑agent‑driven applications.
Solution
Harper provides an open‑source Node.js platform that unifies agent, object, and vector databases, caching, application logic, and messaging into a single in‑memory runtime. Developers define their data model with GraphQL, and Harper automatically generates a full REST API, eliminating the need for controllers, routes, or ORM layers. Because all components reside in the same process, data access occurs at memory speed, reducing network hops and serialization overhead. The platform supports querying via URL parameters, fetch calls, or native GraphQL, offering flexible access patterns without additional adapters. Integrated real‑time capabilities allow change‑data‑capture streams to update caches, search indexes, and AI agent context instantly, improving cache hit ratios and cutting LLM calls by up to 85%.
Target Audience
Primary customers are development teams building high‑performance web applications, AI‑agent platforms, or data‑intensive services that require low latency and simplified infrastructure.
Features
- Single in‑memory runtime that combines agent, object, vector databases, cache, application logic, and messaging
- GraphQL‑defined schema that instantly generates a complete REST API (CRUD endpoints) with no controllers or ORM
- Flexible query interfaces: URL query strings, fetch calls, and native GraphQL against the same data source
- Real‑time CDC pipelines that refresh cached pages, update search indexes, and keep AI agent context current
- High cache hit ratios and up to 85% reduction in LLM calls, delivering lower latency and higher throughput
- Block‑based pricing model that unifies data, compute, and messaging usage for predictable costs
- Deployable via npm, Docker, Fabric, or Red Hat OpenShift for on‑premise or cloud environments