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// PRODUCTION GRADE

Unified Runtime for Agentic Engineering

Coding agents write the code. Harper runs it. Database, cache, API, and messaging are built into a single runtime, so agents build and deploy production-grade applications without ever touching your infrastructure credentials or data.
View Source
Stylized illustration of an agent layer generating code above Harper platform stack featuring GraphQL API REST WebSocket MQTT cache in-memory database NoSQL vector and blob components in layered architecture diagram
// WHY HARPER

Don’t just prototype. Build production software.

What they build locally is what you deploy. Agents generate code in seconds, but getting it to production usually means wiring up databases, caching layers, API gateways, and CI/CD pipelines — and handing agents the credentials to access all of them. Harper eliminates that gap. The entire stack is in the code, contained in a single runtime. No credentials to hand over, no services to wire up, no infrastructure to provision.
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Ship Fast Apps Fast

One command scaffolds a full stack: database, cache, API, and messaging, all running locally. What your agent builds on your laptop is the same runtime that runs in production. No glue code, no service orchestration, no database wiring. Harper collapses the entire infrastructure layer into the codebase itself.
Go to Repo
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Scale Without Overhead

Deploying AI-generated applications across regions shouldn't require a platform team. Harper Fabric deploys your application across distributed geographies in minutes, increasing capacity, throughput, and resilience while driving down global latency as new regions come online.
Sign Up for Fabric
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Enterprise Proven

Most enterprises can’t hand agents the keys to their cloud provider, database, or caching layer. With Harper, they don’t have to. The entire stack runs locally in a single runtime, agents never touch production infrastructure directly. Trusted by some of the world’s largest enterprises.
// TRY WITH YOUR AGENT

Agentic Engineering with Harper

Claude Code logo in white.OpenAI Codex logo in white.Google Antigravity logo in white.
copy the below prompt
Scaffold this project with npm create harper@latest

Build everything with Harper. Check out the /skills files to learn more.

As the project progresses, write updates and key decisions to a context file so it stays current.

When done coding please deploy to Harper Fabric.

Copy & Paste | Start with a Prompt

Pick your coding agent. Copy the prompt. Describe what you want to build. One command gives your agent a full stack, database, API, cache, real-time messaging, and more, defined entirely in code. Your agent handles the rest.
View Repo on GitHub
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Built Different

For most stacks, infrastructure lives outside the code. Agents can't reach it without credentials, and enterprises can't hand those over safely. On Harper, the entire application surface is declarative and in-repo. Agents modify schema files to create tables, GraphQL definitions to extend APIs, and resource files to add business logic, then deploy to Fabric. No infrastructure access required.
Harper LogoStylized illustration of an agent layer generating code above Harper platform stack featuring GraphQL API REST WebSocket MQTT cache in-memory database NoSQL vector and blob components in layered architecture diagram
TYPICAL
ARCHITECTURE
Configuration Model
config.yamlDeclarative, editable by AI
Distributed configs (Terraform, cloud consoles, service dashboards)
API Definition
schema.graphqlAuto-generated API layer
Custom server setup + framework wiring
Business Logic
resource.jsExecuted within unified runtime
Separate service, separate runtime, separate deploy
Database Provisioning
Built-in (NoSQL, Blob, Vector, Cache)
Manual provisioning (MongoDB, Postgres, Redis, etc.)
Deployment Model
Harper Fabric deploys directly from Harper configuration
CI/CD pipelines + cloud infra coordination
Multi-Region Deployment
Native, built into Harper Fabric
Complex setup across providers
AI Agent Control Surface
Entire stack accessible through files AI can modify
Infra lives outside code; AI cannot provision safely
Credential Exposure
None, agents work with in-repo files only
Cloud provider, database, cache, and CI/CD credentials required
Human-in-the-Loop Required
No
Yes (DevOps + cloud permissions required)
Operational Complexity
Minimal, single runtime
High, service coordination and integration overhead
P95 Server Latency
1–10 ms
50–200 ms typical
Production Readiness
Includes all core services
Requires stitching multiple services together
Open Source
Yes
Varies

What Makes This Possible?
Declarative files give agents full control of what the application does without any access to where it runs.

Also Try Harper Agent

OPEN ALPHA
Where skills teach external agents about Harper, Harper Agent is built to think in it. It scaffolds and codes entire projects contextually, generating structurally sound applications grounded in Harper's architecture from the first command.

Bring your own model API key to use this CLI-based tool. Harper Agent supports OpenAI, Anthropic, Google Gemini, and local models via Ollama.
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Generates Harper schemas, resources, and config grounded in runtime conventions
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Detects existing Harper projects and works within established structure
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Supports session persistence for long-running development workflows
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Non-interactive mode for piping prompts from specs or task files
Install Harper Agent
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Terminal
# Install globally
$ npm install -g @harperfast/agent

# Start in your project directory
$ harper-agent

Working directory: ~/Code/my-app
Harper app detected: Yes

Harper: What do you want to do together today?

> Create a support knowledge base that stores documents as blobs, indexes them with vector embeddings for semantic search, and pushes new article alerts via pub/sub.

# Or pipe a spec non-interactively
$ cat spec.md | harper-agent
// DEPLOY TODAY 

Prompt. Ship. Scale.

Start free on Harper Fabric. No credit card required. Your first deployment is minutes away.
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