# Kakunin Samples

Runnable end-to-end examples for the Kakunin AI agent identity and compliance API, showing X.509 certificate issuance and scope-enforced tool calls integrated with LangChain, CrewAI, AutoGen, LlamaIndex, Next.js, and the Vercel AI SDK.

Kakunin Samples is the examples repository for the open-source Kakunin project, which issues X.509 cryptographic identities to AI agents, monitors their behavior, and generates compliance reports referencing MiCA Article 72 and the EU AI Act. This repository holds runnable, end-to-end integration samples rather than the platform itself.

Samples cover the full agent lifecycle -- registration, certification, event reporting -- in TypeScript, Python, Go, and plain curl, plus framework-specific scope-enforcement guards for LangChain, LlamaIndex, CrewAI, AutoGen, Next.js API routes, the Vercel AI SDK, and Mastra.

The wider Kakunin project is split across a core platform, TypeScript and Python SDKs, framework integrations, and an MCP package, each under its own open-source license, with this samples repository under MIT.

Website: https://www.kakunin.ai/docs