How to Create Immutable Audit Trails for AI Agents

<!-- SC_OFF --><div class="md"><p>I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback.</p> <p>Agent demos

<p>When you use a cryptocurrency exchange, the flow is simple: you send coins to an address, and the service sends different coins back.</p> <p>But there's a gap. Between sending

<p>In late April 2026, Microsoft shipped VS Code 1.117. Buried in the release was a change: the <code>github.copilot.chat.generateCommitMessage.addCoAuthoring</code> setting was

<p>langchain has an open github issue (35357) requesting structured compliance audit logging for eu ai act article 12. the issue is still open. frameworks don't ship this yet.</p>

<h1> How I Built a Time-Travel Debugger for AI Agents </h1> <p>What if debugging an AI agent worked more like debugging normal code?</p> <p>Pause execution.</p> <p>Inspect what

<h1> rulsynor-core v1.0: An AI Agent You Can Audit </h1> <p>How do you trust an AI Agent in production? Not "trust" as in <em>I think it'll do the right thing</em>. Trust as in

<p>An auditor sits across from you with a single page of questions. They are not interested in your model architecture, your prompt engineering, or your evaluation harness. They

<p>You've built the demo. It works. The LLM responds, the tools fire, the output looks great.</p> <p>Then you push it to production — and everything breaks.</p> <p>API calls fail