Welcome to the cozymori documentation. Learn how to use VectorWave and VectorSurfer in your projects.
What is VectorWave and how does Execution-Level Semantic Optimization work?
Install VectorWave and set up the Weaviate vector database.
The core decorator that powers function vectorization, tracing, and storage.
Reduce LLM costs and latency by caching semantically similar inputs.
Autonomous error diagnosis, code fix generation, and GitHub PR creation.
Curate verified executions for cache priority, drift detection, and regression testing.
Monitor when user inputs drift away from known-good patterns with Semantic Drift Radar.
Regression testing by replaying past successful executions.
Natural language Q&A over your stored code and execution logs.
Custom properties, dynamic tagging, webhooks, auto-injection, and data archiving.
Complete reference for @vectorize options, environment variables, and utility classes.