Developers and founders building with AI agents: what does your current safety stack look like? I’m curious about three things: 1. Do you use an application or dashboard to see what your agents are doing continuously? 2. What do you use to prevent, review, or block risky actions such as tool calls, file changes, data access, or memory writes? 3. Do you already have a plan for regulatory and compliance requirements, or are you still figuring that out? Honest answers are welcome: a commercial tool, in-house scripts, system prompts, permissions, sandboxing, middleware, skills, plugins—or nothing yet. I’m especially interested in where your current approach works well and where it becomes difficult to maintain or trust. At HUQAN, we’re exploring a local-first observation and audit layer that helps make agent actions easier to inspect, review, and understand. The goal is to learn from real workflows before assuming that one governance layer fits everyone. What are you using today—and what do you wish you could see more clearly? #AIAgents #AISafety #OpenSource #AI #HUQAN