We’re building the execution layer AI agents are missing.

AgentTrace exists because AI agents are non-deterministic — and non-determinism breaks trust in production.

The Origin

The problem we kept running into

We were building autonomous agents. They ran long, touched real systems, and inevitably failed in ways we couldn't predict.

When an agent failed, we tried to debug it. We looked at logs. We looked at prompt traces. We tried to "chat" with the debugger.

But we couldn't reproduce the failure. The external world had changed. The LLM output was slightly different. The state was gone. Debugging became guesswork.

“We didn’t lack observability.
We lacked determinism.”

The Insight

Determinism is the missing layer

Traditional software assumes determinism. If you run the same code with the same input, you get the same output.

AI agents break that assumption. They are probabilistic by nature. This makes them powerful, but it also makes them impossible to trust without a new kind of infrastructure.

The solution isn’t better prompts or prettier dashboards.

It’s controlling execution itself. We need to capture not just the logs, but the entire probabilistic state, so we can rewind and replay it exactly.

System Architecture

AgentTrace is deterministic observability infrastructure for AI agents. We sit inside the execution runtime, intercept non-determinism (network calls, randomness, time), and make every run replayable, forkable, and auditable.

Our Principles
  • 01Execution must be reproducible.
  • 02Debugging should be non-linear (time-travel).
  • 03Safety is non-negotiable for autonomous systems.
  • 04Infrastructure should be boring and reliable.
  • 05Observability without control is incomplete.

Who we’re building for

  • • Teams running autonomous agents in production
  • • Agents that touch APIs, files, money, or infrastructure
  • • Engineers who value correctness over hype

Who we’re not for

  • • Pure prompt experimentation
  • • Simple conversational chatbots
  • • "Vibe checking" workflows
Team

Ajay — Founder

Building execution infrastructure for autonomous systems.

Why now

Agents are moving into production. They’re handling real workflows. Non-determinism is no longer acceptable.

Determinism is becoming a requirement, not a feature.