#drift-detection
GitHub repositories that have self-applied the topic "drift-detection" — a creator-tagged metadata that surfaces how AI projects describe themselves.
REPOS Repos for #drift-detection (top 6 by stars)
Claude Code memory system — auto context injection, drift detection, compounding, FTS5/vector search, Obsidian vault export. Zero core deps.
dubbl-a/house-rulesPersistent repository conventions for Claude Code: rule files vendored into your repo, a drift and tamper checker, a branch guard hook, and skills to bootstrap, sync, and revise them.
jawwad-ali/self-healing-ragSelf-healing RAG on n8n with LLM-as-judge eval, drift detection, investigator agent, and canary A/B deploys.
hoomanesteki/agentic-rag-knowledge-ai-platformSkein is an agentic AI platform that answers questions by weaving together structured and unstructured data, grounding every response in a knowledge graph, hybrid vector search, and a governed semantic layer. It escalates to humans when unsure, and runs free locally or scales to the cloud.
RudrenduPaul/evolveguardDetects capability drift in Claude Agent Skills and MEMORY.md files before an edit ships. npm + PyPI CLI.
luacarol/credit-scoring-observabilityCredit scoring model with full MLOps observability layer: Pandera data contracts, Evidently AI drift detection, and MLflow monitoring. Simulates real-world economic drift and detects model degradation in production.
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996Aggregated by case-insensitive match against topics_json of each repo's latest content snapshot. methodology