prateekdevisingh/kakveda

Open-source failure intelligence platform for LLM & agent systems. Adds failure memory, pre-flight warnings, pattern detection, and system health scoring.

41
/ 100
Emerging

This project helps engineering and MLOps teams prevent recurring failures in their AI and LLM systems by giving these systems a 'memory' of past problems. It takes in failure events from your LLM applications and infrastructure, and provides pre-flight warnings and a unified dashboard showing system health and reliability trends. This is designed for engineers and MLOps practitioners who build and maintain AI applications.

Use this if you are building and deploying LLM or AI agent systems and need a better way to track, prevent, and analyze recurring failures across your applications and underlying infrastructure.

Not ideal if you are only looking for basic LLM tracing or general application logging without needing advanced failure pattern detection and preventative warnings.

LLM-operations AI-reliability MLOps system-monitoring failure-analysis
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 11 / 25
Community 15 / 25

How are scores calculated?

Stars

9

Forks

5

Language

Python

License

Apache-2.0

Last pushed

Mar 01, 2026

Commits (30d)

0

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