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Harper

Harper is a single in-process runtime that unifies your database, application logic, APIs, caching, real-time messaging, and agent loops, replicated across a multi-region data application fabric. Because data sits in the same process as your code, Harper delivers roughly 1ms data retrieval, up to 85% fewer LLM and origin calls, and 30 to 70% faster page loads.

For agents: Harper: single in-process runtime unifying database, APIs, caching, real-time messaging and agent loops across multi-region fabric; includes Cortex memory layer

in-process runtimeagent runtimesemantic cachedatabasereal-time messagingmulti-region

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T17:58:13.461Z. Cached copy · Source on harper.fast

# Harper


Harper is a single in-process runtime that unifies your database, application logic, APIs, caching, real-time messaging, and agent loops, replicated across a multi-region data application fabric. Because data sits in the same process as your code, Harper delivers roughly 1ms data retrieval, up to 85% fewer LLM and origin calls, and 30 to 70% faster page loads.


Harper is built for developers and AI coding agents. You define a schema, and Harper automatically exposes REST and GraphQL APIs, vector search, blob storage, caching, and pub/sub over Server-Sent Events, WebSocket, and MQTT, all from one runtime with one deploy target. The same code runs on a laptop, in managed cloud, at the edge, and on-prem.


## Getting started


- [Full Technical Documentation](https://docs.harperdb.io/llms.txt): Agent entry point for learning about the technical details of building with Harper. 
- [Install Harper](https://docs.harperdb.io/learn/getting-started/install-and-connect-harper): Install the runtime locally via npm, Docker, or a package manager.  
- [Quick Start](https://docs.harperdb.io/learn/getting-started/create-your-first-application): Stand up your first Harper application and hit a live API in minutes.  
- [create-harper](https://github.com/HarperFast/create-harper): One command scaffolds a Harper project with schema, resources, config, and agent onboarding skills files.


## Core capabilities


- [Applications](https://docs.harperdb.io/learn/developers/harper-applications-in-depth): Build full-stack backends with JavaScript classes that run in-process alongside your data.  
- [Defining Schemas](https://docs.harperdb.io/reference/v5/database/schema): Define tables in GraphQL to auto-generate REST and GraphQL APIs, with typed and indexed fields.  
- [REST](https://docs.harperdb.io/reference/v5/rest/overview): Query, filter, sort, join, and paginate directly from a URL or a fetch call.  
- [Caching](https://docs.harperdb.io/learn/developers/caching-with-harper): Cache external sources with configurable TTL and stampede protection, with no separate cache tier.  
- [Real-Time](https://docs.harperdb.io/reference/v5/rest/websockets): Subscribe to record changes over Server-Sent Events, WebSocket, or MQTT, with no separate broker.  
- [Vector Indexing](https://docs.harperdb.io/reference/v5/database/schema#vector-indexing): Store embeddings beside your data with an HNSW index and run semantic search through the same API.


## Deploy


- [Harper Fabric](https://docs.harperdb.io/fabric): Deploy your entire backend to a globally distributed network with a single command.  
- [Sign up for Fabric](https://fabric.harper.fast/#/sign-up): Create a Fabric account and start building, with no credit card required.  
- [npm package](https://www.npmjs.com/package/harper): Install the Harper runtime from npm.  
- [Docker images](https://hub.docker.com/u/harperfast): Run Harper in a container.


## Open source and examples
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Claim my listing on Agent Web Map for harper.fast:
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