Unverified50% confidenceFactExact time
AutoHeal AI adopts a three-layer architecture: React frontend dashboard → FastAPI backend → three core engines (monitoring engine, AI engine, recovery engine).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedAutoHeal AI is a self-healing operations system that continuously monitors infrastructure metrics, uses machine learning to identify anomalous patterns, has a locally running large model explain the causes, automatically executes recovery actions within the range allowed by policy, and generates incident reports, forming a closed loop.73% similarUnverifiedThe team defined three properties of an AI-native engine on top of Phaser: no dependency on a graphical interface, runtime accessibility, and visible source code.72% similarUnverifiedAutoHeal AI's tech stack includes: Gemma 3 4B as the language model, Ollama as the local runtime, Python + FastAPI for the backend, React for the frontend, psutil for monitoring collection, Scikit-learn for anomaly detection, SQLite for data storage, Docker for the containerized test environment, Recharts for visualization, and GitHub for open-source hosting.72% similarUnverifiedThe core referenceable idea of this case is orchestrating the three traditionally siloed stages of monitoring, diagnosis, and remediation into a coherent automated pipeline through AI Agent.68% similar
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