Agent loops burn ~50x what chat does. Uber blew its annual AI coding budget by April. Cursor and Claude Code both face an explosion of costs. FinOps teams tracking AI spend went from 31% to 98% in a year. Here's the part nobody prices in: a huge share of that burn is your agent re-reading things it already knew. Every new session, the same repo context, the same conventions, re-fed through the window, costing you money again. Therefore Sibyl Labs built the memory plugin around one idea: pay to learn something once, then retrieve it cheaply as much as you want. File-based persistent memory, local-first, no vector DB. Knowledge gets written as a one-time cost; recall is targeted search, not context flooding. Works with Claude Code, Codex, Cursor, and any MCP runtime. No "cut your bill 70%". Anyone quoting you a percentage right now is guessing. The claim: stop paying to re-read what your agent already figured out. #2# on LongMemEval Oracle (95.6%). Try it: