kvguard

Search past decisions, failures, and experiment logs for relevant context before starting a task. Use this before any significant implementation or experiment to avoid repeating mistakes.

Analyze sweep results after completion. Computes accuracy, CFR, signal statistics, and generates comparison tables. Use after a sweep completes to understand the data.

Compare results across models (Qwen vs Llama) at matching compression configurations. Generates side-by-side tables and identifies cross-model patterns.

After completing a significant task or experiment, extract lessons learned and update the project knowledge base. Captures what worked, what failed, and what to remember for next time.

Prepare and run a KV-cache compression sweep. Loads sweep configuration, validates prerequisites, and provides the exact commands needed. Use before starting any GPU experiment.