AI coding agents are stateless between sessions. Every time you start a new session, the agent knows nothing about what you built yesterday, why you made certain decisions, or what you explicitly decided to stop doing. You write a CLAUDE.md by hand, it goes stale after a few sessions, and you spend the first few minutes of every session re-explaining context the agent should already know.
In a 3-session demo on a real project, prism-mem compressed 411,463 bytes of raw Claude Code transcripts into 11,707 characters of structured, queryable knowledge -- a 35x reduction -- with zero manual updates. The agent that started session 4 had accurate context from everything that happened in sessions 1, 2, and 3, including a database migration it never witnessed.
prism-mem does this by reading what actually happened instead of asking you to write it down.
Here is what typically happens on a real project:
Session 1: You write a clean CLAUDE.md. Tech stack, decisions, conventions. It is accurate.
