Memo Index · szilikaroly bundle Cuts context-token spend on large or repeatedly-read material by generating compressed, line-anchored memos with a LOCAL model (zero API tokens), keeping only a tiny queryable index in context, and validating each claim separately — deterministically where possible, with one isolated subagent per remaining claim. Handles code, prose, tables (extracted row-by-row in code), and images/figures/charts/scanned pages (read by a local vision model). Use this whenever a task means ingesting more material than comfortably fits in context: reading a large codebase or many source files to answer a question, digesting a pile of papers/PDFs/web sources, extracting facts from tables or figures, working through a long document set, or any "read all of X and tell me Y". Also use when the user mentions token usage, context budget, context running out, "too expensive", memoizing/caching file summaries, or wants claims fact-checked against their sources. Do NOT use for a single small file read once — plain Read is cheaper.
