Hey Product Hunt 👋 HoundSight started from a frustration we kept running into: teams shipping AI agents into production with essentially no visibility into what those agents were actually doing. Not just "did the API call succeed" — but why did the agent make that decision? What did it consider and reject? When it took an action with real-world consequences, what was the reasoning chain that led there? Every observability tool we tried gave us the same answer: adapt your agents to fit our service-trace model. That never felt right. Agents don't work like services. They reason, they plan, they branch — and they act. Bolting on logging designed for REST APIs doesn't capture any of that. So we built HoundSight from the ground up for the way agents actually work. Three things that make it different: 1. Native agent instrumentation — traces that understand multi-step reasoning chains, tool orchestration, and branching decisions, not just request/response pairs. 2. Governance is first-class — declarative policies that define what your agents can and can't do, enforced in real time. Observe and govern in one platform, not two tools duct-taped together. 3. In production in under an hour — SDK-first, docs-first, no 90-day procurement cycle, no sales call to get started. We built this for the developers actually shipping autonomous AI — the ones who know that production agents are a risk surface where most incidents are invisible until they're expensive. Would love to hear from anyone building with agents. What's your biggest blind spot right now? 🐾

Houndsight.ai

Other tools watch agents run. We give you the leash.

Other tools watch agents run. We give you the leash.