The callback/observer synthesizers loaded every function and method node into
memory at once (getNodesByKind('function'/'method')) before scanning them down
to a tiny matched subset. On a symbol-dense project that array is gigabytes, so
indexing spiked the JS heap and aborted with "JavaScript heap out of memory".
Add QueryBuilder.iterateNodesByKind (a lazy node:sqlite cursor) and stream the
synthesizer scans instead of materializing them. Parsing and reference
resolution were already bounded; only the synthesis enumeration wasn't.
Measured on 80 files x 14k functions (~1.1M nodes): peak RSS 3717 MB -> 1318 MB,
no OOM. Full suite green; synthesized edges unchanged.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -12,6 +12,7 @@ and adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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### Fixes
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- The background file watcher no longer exhausts your machine's file-descriptor budget. On macOS it previously kept **one open file handle per watched file**, so on a large project the running MCP server could pile up tens of thousands of handles and blow past the system-wide limit — at which point *unrelated* apps (your shell, editor, Docker, browser) started failing with "too many open files" until the codegraph process was killed. The watcher now uses a single recursive watch on macOS and Windows, and bounded per-directory watches on Linux, so its cost stays flat no matter how large the project is. (#644, #496, #555, #628, #579)
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- Indexing a project with very symbol-dense files (tens of thousands of functions or methods in a single file) no longer runs out of memory. The step that links dynamic call relationships used to load every function and method into memory at once, which could exhaust the heap and abort indexing with "JavaScript heap out of memory" on large or generated codebases; it now streams them, so memory stays flat no matter how many symbols the project has. (#610)
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## [0.9.9] - 2026-06-02
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