Notrix builds open-source reliability infrastructure for AI systems that do not behave the same way twice.
Standard logging captures events but lacks the context of non-deterministic branching.
Distributed tracing maps the path, but not the reason for internal logic drift.
Deep inspection of hidden states, prompts, and model parameters to isolate variance.
Open-source AI debugging foundation for capturing, inspecting, and replaying non-deterministic workflows.
Automatically record every step, input, and hidden state of your AI agents in production.
Visual diffing engine for complex LLM reasoning chains and graph-based state changes.
Trace how hidden prompts or context drift influence downstream tool selection.
Isolate and re-run specific nodes with identical state to solve non-determinism.
Real-world AI workflow products powered by Notrix reliability infrastructure.
Applied AI workflow product for content generation and distribution.
Intelligent, deterministic inbox management and automation.
Capturing and synthesizing meeting reliability at scale.
Systematic, reliable lead generation workflows.
Foundations of inspecting non-deterministic systems.
Read Guide →Why modern AI requires a new reliability stack.
Read Guide →The distinction between monitoring and root-cause analysis.
Read Guide →Architecting autonomous agents that behave predictably.
Read Guide →Mastering the two core pillars of AI debugging.
Read Guide →Share feedback, propose ideas, and connect with other engineers building reliable AI.
Found a bug or have a specific feature request? Open an issue on our GitHub repository.
Help us define the future of AI debugging. We welcome contributions to core Notrix infrastructure.