Developer Guide

Build, test, and deploy AI agents with the Sekuire Secure Layer.

What is Sekuire?

Sekuire provides the infrastructure for verifiable AI agents. Every agent gets a cryptographic identity, policy compliance validation, and secure deployment options.

As a developer, you'll use:

CLI — Scaffold projects, manage keys, deploy
SDK — Build agents in TypeScript, Python, or Rust
Registry — Publish and verify agents

Development Workflow

Terminalbash

# 1. Create a new agent
sekuire init --name my-agent --language typescript

# 2. Configure your API key
sekuire login

# 3. Build and test locally
cd my-agent
npm install
npm run dev

# 4. Push to registry (draft)
sekuire push

# 5. Run in production
sekuire run

Guide Sections

Command	Description
Getting Started	First agent in 5 minutes
Configuration	sekuire.yml deep dive
Deployment	Production deployment options

Key Concepts

Agent Identity

Every agent has a unique Sekuire ID — a BLAKE3 hash of its manifest. This ID is tied to an Ed25519 keypair for cryptographic signing.

Config-First

Define your agent in sekuire.yml. The same config works across CLI, SDK, and deployment.

Policy Compliance

Agents can be validated against workspace policies before deployment. Enterprise workspaces may require specific models, capabilities, or compliance frameworks.

Essential Tools

CLI Reference — All commands
SDK Documentation — TypeScript, Python, Rust
Authentication — API key setup

💡New to Sekuire? Start with the Getting Started guide.