Humainary hosts open-source interfaces designed to transform how we observe, understand, and interact with complex digital systems. Our goal is nothing short of revolutionizing observability by shifting from traditional metrics and logging toward meaningful signal interpretation and systemic understanding.

Substrates (Beta)

The Substrates API provides a flexible framework for building event-driven and observability systems by combining concepts of circuits, conduits, channels, pipes, subscribers, subscriptions, and subjects. The API is well-suited for:

  • Real-time data processing pipelines
  • Event-driven architectures with dynamic subscriptions
  • Observability frameworks and instrumentation
  • Digital Twin mirrored state and computational processing units

Code: https://github.com/humainary-io/substrates-api-java
Docs: https://humainary.io/blog/category/observability-x/

Serventis (Beta)

Serventis is a semiotic-inspired observability framework designed to provide structured sensing and sense-making for distributed systems. It defines a contract for monitoring system states and service interactions through a standardized language of signals and assessments, enabling adaptive intelligence without enforcing a specific implementation.

Serventis consists of:

  • Monitors API – Tracks the operational condition of services, assessing state transitions with confidence levels.
  • Services API – A semiotics lens on service-to-service interactions via signs, signals, and orientations

By separating observation from interpretation, Serventis enables the integration of agents, machine learning models, and scorecards, allowing for context-aware reasoning and autonomous situational awareness. It is a foundational layer for intelligent observability, supporting distributed coordination, adaptive control, and multi-perspective analysis.

Code: https://github.com/humainary-io/serventis-api-java

Semiosphere (Alpha)

Semiosphere is a living intelligence layer—an adaptive, self-organizing system that extracts meaning from signals instead of simply collecting data. Unlike rigid logs, traces, or dashboards, Semiosphere introduces a dynamic network of subjects and agents that observe, interpret, and respond to changes in real-time.

Inspired by semiotics, bioinformatics, and complexity science, Semiosphere detects emergent patterns, predicts failures before they occur, and evolves with the system it models. Imagine an observability system that comprehends causality, not just correlation. Imagine a business intelligence system that surfaces unknown inefficiencies rather than forcing you to sift through reports. Imagine a digital twin that doesn’t merely mirror a system but anticipates its next state. This is more than optimization—it represents a fundamental shift in our understanding of complex systems.

https://humainary.io/blog/semiosphere-a-foundation-for-perception-and-control/