swytchcodehq/swytchcode-examples

Swytchcode demo projects with different agents

What it solves

This repository provides production-ready templates and reference architectures for connecting autonomous AI agents to real-world APIs, databases, and tooling. It addresses the gap between simple AI demos and production-grade agentic workflows by providing built-in idempotency, audit trails, and policy enforcement.

How it works

Developers use the Swytchcode CLI to scaffold projects based on a variety of use cases (such as customer onboarding or bug escalation) and frameworks. The project supports integration with popular agent frameworks like LangGraph, OpenAI Agents SDK, CrewAI, and the Vercel AI SDK, allowing agents to orchestrate multi-API workflows across tools like Stripe, HubSpot, GitHub, and Jira.

Who it’s for

Software engineers and AI developers building autonomous agents that need to interact with external business tools and APIs while maintaining compliance and reliability.

Highlights

  • CLI-driven scaffolding: Rapidly deploy starter templates via the swytchcode examples command.
  • Multi-framework support: Compatible with LangGraph, OpenAI Agents SDK, CrewAI, and Vercel AI SDK.
  • Diverse reference architectures: Includes examples for B2B onboarding, fintech compliance, payment processing, and GitHub issue triage.
  • Enterprise-grade features: Focuses on production readiness with a focus on idempotency and audit trails.

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