Every developer working with LLMs on a large codebase eventually hits the same wall: context windows are finite, but codebases are not.
You start a new AI coding session, ask about the payment flow — and your agent starts re-reading dozens of files just to get oriented. Twenty thousand tokens evaporated before a single line of code is written. Multiply that by every session, every team member, every day.
Two open-source tools solve this in different but complementary ways:
Graphify — converts your folder into a queryable knowledge graph with community detection, Obsidian-compatible reports, and cross-file traversal
code-review-graph (CRG) — builds a SQLite-backed AST graph with blast-radius analysis, embedding-based semantic search, ~25 MCP tools (allow-listable to a working set of 8), and sub-second incremental updates
