KDD is a template repo + method to govern AI coding agents. Write a contract, seal its tests by SHA256, and let 12 deterministic gates (pure Python stdlib, no LLM, no network) verify — so the agent that implements never judges "done."
"Most tools give AI agents access to your data. nAIn gives you a remote control for your AI agents. It’s the missing security and supervision layer for the agentic era."
A2E (Agent-to-Execution) is a declarative protocol for executing AI-agent-generated workflows securely, without allowing arbitrary code execution.
The motivation behind A2E is simple: AI agents are getting very good at reasoning, but letting them execute dynamically generated code in real systems is a major security and compliance risk.
With A2E:
Agents describe what they want to do
The system controls how it is executed
Only predefined, whitelisted, and fully auditable operations are allowed (API calls, filters, loops, conditionals, etc.)
Every workflow is validated, logged, and traceable
