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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​

# 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​

GuideDescription
Getting StartedFirst agent in 5 minutes
Configurationsekuire.yml deep dive
DeploymentProduction 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​

tip

New to Sekuire? Start with the Getting Started guide.