More Context Is Not Enough. AI Agents Need Memory They Can Trust.

AI coding agents frequently fail because they rely on temporary conversation contexts, causing them to forget project-specific lessons and repeat previously corrected mistakes. This structural issue persists regardless of prompt size or model quality. Pith addresses this problem by providing AI agents with durable project memory they can trust. This allows agents to retain corrections and decisions across different sessions, ensuring they do not revert to wrong assumptions or repeat inefficient workflows during development.