Datadog for AI agents - traces, RCA, and team memory
Agents fail silently. You fire one off, it runs, nothing comes back - no trace, no cost data, no idea which call broke. Tracea captures every tool call, LLM response, and cost spike. Automatic RCA tells you exactly why it failed. YAML detection rules catch loops, spikes, and silent errors before they hit production. Self-hosted. One Docker command. No data leaves your network. Company Brain turns every session into team memory - agents start smarter each run.
I built this because I kept running AI agent sessions that would fail silently - no trace of what broke, no cost visibility, no way to debug after the fact. I open-sourced an early version called @Observagent and 300 developers found it with zero marketing. That told me the problem was real.
🔍 Full event timeline: every tool call, LLM response, cost and latency spike in order
🧠 Automatic RCA: understand exactly why an agent failed
🚨 Detection + alerting: catch cost spikes, loops, and silent errors before they hurt
💡 Company Brain: sessions synthesized into team knowledge so agents start smarter each run
🔒 Self-hosted: one Docker command, nothing leaves your network
Works with every framework out of the box. No SDK lock-in, no integration work.
Would love to hear how you're currently handling visibility into your agent runs. Happy to answer anything!
About Tracea on Product Hunt
“Datadog for AI agents - traces, RCA, and team memory”
Tracea launched on Product Hunt on May 8th, 2026 and earned 55 upvotes and 1 comments, placing #49 on the daily leaderboard. Agents fail silently. You fire one off, it runs, nothing comes back - no trace, no cost data, no idea which call broke. Tracea captures every tool call, LLM response, and cost spike. Automatic RCA tells you exactly why it failed. YAML detection rules catch loops, spikes, and silent errors before they hit production. Self-hosted. One Docker command. No data leaves your network. Company Brain turns every session into team memory - agents start smarter each run.
On the analytics side, Tracea competes within Open Source, Developer Tools and YC Application — topics that collectively have 580.4k followers on Product Hunt. The dashboard above tracks how Tracea performed against the three products that launched closest to it on the same day.
Who hunted Tracea?
Tracea was hunted by Darshan Nere. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Tracea including community comment highlights and product details, visit the product overview.
Darshan Nere
Hey Product Hunt! 👋 Launching today as part of the @gustaf x @Y Combinator builder challenge.
I'm Darshan, the maker of @Tracea.
I built this because I kept running AI agent sessions that would fail silently - no trace of what broke, no cost visibility, no way to debug after the fact. I open-sourced an early version called @Observagent and 300 developers found it with zero marketing. That told me the problem was real.
@Tracea is the production-grade version:
🔍 Full event timeline: every tool call, LLM response, cost and latency spike in order
🧠 Automatic RCA: understand exactly why an agent failed
🚨 Detection + alerting: catch cost spikes, loops, and silent errors before they hurt
💡 Company Brain: sessions synthesized into team knowledge so agents start smarter each run
🔒 Self-hosted: one Docker command, nothing leaves your network
Works with every framework out of the box. No SDK lock-in, no integration work.
Would love to hear how you're currently handling visibility into your agent runs. Happy to answer anything!