Self-healing observability for AI agents. Discover, monitor, and auto-recover multi-agent systems — without a cloud dependency.
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Updated
Jul 27, 2026 - Python
Self-healing observability for AI agents. Discover, monitor, and auto-recover multi-agent systems — without a cloud dependency.
Behavioral drift detection for LLM agents — catch vocabulary loss, tool changes, loops, and stagnation before they break production.
🩺 The first character health check system for AI agents. Core: Three Represents. Check values, character, emotion, behavior consistency. Not format — soul.
AI Agent health assessment engine powered by TITMAS.
AI agent health monitoring with real response testing, latency tracking, 60s RTO detection, and PDF reporting via WhatsApp or email
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