Harper Flattens the AI Stack: Building Complete Agents Without Infrastructure Overhead

Building AI agents typically requires integrating multiple services—databases, vector stores, caching systems, and deployment pipelines—introducing significant operational complexity and cost. Harper consolidates these components into a single runtime, allowing developers to build fully functional semantic-caching agents in minutes. With built-in HNSW vector indexing and intelligent caching, popular queries serve from the cache at zero LLM cost, dramatically reducing both development time and operational expenses.