GitNexus/gitnexus/README.md
Gergő Magyar 95f87fc12a
perf(ingestion): Linux-kernel-scale analysis — worker-pool parse + finalize O(n²) + scope-resolution memory wall (#1983) (#2038)
* fix(ingestion): reduce parse-phase memory for huge repos (#1983)

Stop retaining full parse-cache chunks in RAM alongside the merged graph,
slim on-disk shards, defer worker ParsedFile emission for scope-resolver
languages, and add GITNEXUS_DEBUG_HEAP probes for OOM diagnosis.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(ingestion): address #2038 tri-review findings (parse-phase memory)

Resolves the confirmed review findings on PR #2038:

- P1: thread exportedTypeMap through the sequential parse path
  (processParsingSequential) so a no-worker run over a partially-warm
  cache no longer silently drops the sequential-miss files' exported
  types. Cache hits made exportedTypeMap.size > 0, suppressing the
  end-of-loop buildExportedTypeMapFromGraph rebuild, but the sequential
  path never populated the map. Regression test added (fails on the
  pre-fix tree, passes after) plus a fully-sequential differential oracle.
- P2: saveParseCache builds its on-disk index from hashes actually
  written/copied (writtenKeys), never a usedKeys hash whose shard write
  or copy was skipped — no more phantom index entries.
- P2: add a unit test asserting SCOPE_RESOLUTION_LANGUAGES stays in sync
  with SCOPE_RESOLVERS (asymmetric drift would lose a language's ParsedFile).
- Backfill cache coverage: loadParseCacheChunk missing/corrupt -> undefined,
  pruneCache onDiskKeys branch, slim preserves nodes, saveParseCache
  copy-evicted-shard round-trip.
- Cleanups: single-source heap-probe gating via isDebugHeapEnabled();
  hoist the per-chunk mkdir in persistParseCacheChunk behind a
  process-scoped Set; gate COBOL's unused worker-side ParsedFile
  extraction (graph nodes still come from cobolPhase) while keeping
  fileCount/progress unconditional.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(ingestion): remove dead worker-side ParsedFile extraction

After #2038 gated worker `ParsedFile` emission behind `!isScopeResolutionLanguage(language)`, and with all 16 SupportedLanguages registered in SCOPE_RESOLVERS, that gate was structurally always true — the worker already produced no ParsedFiles and scope-resolution re-extracts each file from source on the main thread (run.ts). Remove the now-dead machinery:

- Drop both worker `extractParsedFile` call-sites (tree-sitter processFileGroup + the standalone-provider branch) and the `result.parsedFiles.push`. The standalone branch keeps fileCount/onFileProcessed per file. `result.parsedFiles` stays declared but empty (field removal deferred).
- Remove the now-orphaned `scopeSourceKind` var + `ScopeCaptureSourceKind`/`extractParsedFile`/`isScopeResolutionLanguage` imports.
- Delete the consumerless `migrated-languages.ts` (isScopeResolutionLanguage + SCOPE_RESOLUTION_LANGUAGES) and its drift-guard test — parse-worker was their only importer. Also improves AGENTS.md "shared ingestion code must not name languages" compliance.

`extractParsedFile` and the scope-extractor-bridge stay (scope-resolution/run.ts + Vue resolver use them). Behavior-preserving: worker-sequential-parity passes before and after; tsc/eslint clean; no baseline/golden drift.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(ingestion): worker-pool-only parsing; remove sequential parser (#1983)

Completes the #1983 huge-repo parse-OOM effort by making the worker pool
GitNexus's sole parse path.

Parallel serialization (the perf core): workers serialize their ParsedFiles to
a disk store in parallel and stream them back to scope-resolution, so the main
thread no longer re-parses every file (the tree-sitter native-memory leak that
caused the OOM). Adds chunk merge-pipelining + work-proportional chunk sizing so
the pool stays saturated.

Remove the sequential parser: `--workers 0`, `GITNEXUS_WORKER_POOL_SIZE=0`, and
`skipWorkers` now hard-error (no silent degrade — #1741); the small-repo
threshold no longer selects an in-process path; pool creation stays lazy /
cache-miss-gated so warm all-hit runs never spawn workers.

Worker-path parity fixes — removing sequential surfaced two pre-existing gaps
that tiny-fixture tests had masked by running below the worker threshold, both
fixed by carrying per-file metadata as DATA across the worker boundary (never
re-parsing on the main thread, preserving the OOM fix):
  - C++: templateConstraints wired into worker node identity (SFINAE overload
    disambiguation) + ADL / inline-namespace capture side-channel serialized
    onto the ParsedFile.
  - Kotlin: companion-scope side-channel serialized the same way (companion /
    static dispatch).

Validation: tsc + build clean; full suite green (10,190 pass — the only
deterministic failures were the now-fixed C++/Kotlin worker-path gaps; the 2
remaining full-run failures are pre-existing load flakiness, green in
isolation); cpp-pipeline benchmark stays linear on a 1-worker pool.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(ingestion): wire C static-linkage side-channel + ADL O(1) collect + tri-review cleanups (#1983)

Follow-up to the worker-pool-only refactor, from a tri-review of the parse path.

- C static-linkage side-channel (P1): cProvider had no collect/applyCaptureSideChannel,
  so on the now-sole worker path C `static` file-local marks were lost across the worker
  boundary -> false cross-file CALLS edges + over-broad #include wildcard visibility on
  every C analysis (the Linux kernel is C). Mirror the C++/Kotlin wiring: serialize
  `staticNames` per file onto ParsedFile.captureSideChannel and restore it on the main
  thread (no re-parse). + a worker-path regression test (the existing c-static-isolation
  fixture passed vacuously — its collision resolves via #include before the global
  free-call fallback ever consults static-linkage).

- captureSideChannel `kind` discriminant: add `kind:'cpp'`/`kind:'c'` tags + guards
  (Kotlin already had one) now that C/C++/Kotlin share the single generic field.

- Perf: collectCppAdlSideChannel scanned the whole argInfoBySite/noAdlSites maps per file
  (O(F^2) per sub-batch, ~100M parseSiteKey calls at kernel scale). Add per-filePath
  lockstep indexes -> O(1) collect; serialized snapshot byte-identical.

- Cleanups: inline the one-line processParsingWithWorkers wrapper into processParsing;
  drop the always-empty WorkerExtractedData.calls/assignments/constructorBindings fields;
  remove the voided astCache param from processParsing; refresh stale "sequential
  fallback" JSDoc.

Validation: tsc + build clean; cpp 297/297, c 8/8 (incl. the new worker-path
static-linkage guard), typescript + parsedfile-store green; cpp ADL benchmark stays linear.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* perf(scope-resolution): index C/C++ #include resolution in finalize (O(n²)→O(n))

Kernel-scale C/C++ analysis ground in finalizeScopeModel because three
per-#include operations each did a full O(F) scan with no index — the
finalize O(n²) that surfaced once the #1983 parse-phase OOM was fixed:

- expand{C,Cpp}WildcardNames: parsedFiles.find() per wildcard edge → O(R·F)
- resolveImportTarget: new Set(allFilePaths) rebuilt per #include
- resolveCImportTarget: suffix-match scanned all workspace paths

Each is replaced with a WeakMap-per-pass index keyed on the stable
parsedFiles/allFilePaths references that scope-resolution run.ts passes
once per pass:

- Map<ScopeId,ParsedFile> for wildcard expansion (c/static-linkage.ts +
  cpp/file-local-linkage.ts)
- memoized augmented header set (c/scope-resolver.ts + cpp/scope-resolver.ts)
- basename-bucketed suffix index in resolveCImportTarget (c/import-target.ts),
  shared by C and C++ since resolveCppImportTarget delegates to it

Collapses the C/C++ finalize from O(R·F) to O(R+F). Pure-perf, byte-identical
edge output: 962 targeted tests green (490 C + 472 C/C++ scope-resolution);
the basename index preserves the exact endsWith('/'+target) match and the
fewest-path-components-then-lexicographic tie-break.

The kernel's ~25-30k .h headers are classified C++, so both providers must
be fixed. Proven on the Linux kernel: the C finalize completed
(sr-post-finalize lang=c → sr-end lang=c), which the pre-fix run never
reached in 16+ min of grinding.

Build-independent follow-ups (separate from this finalize fix), documented
for later: emitFreeCallFallback same-name buckets (emit phase),
buildGraphNodeLookup + precount global setup, the ParsedFile store-load,
the dart/go/ruby expand-wildcards .find siblings, and the ~26GB
scope-resolution memory floor (full kernel completion needs >~40GB RAM).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(bench): regenerate C scope-capture baseline for the #1983 c-static-linkage-worker fixture

bench/scope-capture/measure.mjs fingerprints emitCScopeCaptures over the
lang-resolution/c-* fixture corpus. The #1983 PR added the
c-static-linkage-worker fixture (caller.c/lib.c/lib.h/local.c — the
worker-path static-linkage side-channel test) but did not regenerate the C
baseline, so `--check` has been red on this branch (main, lacking the
fixture, still matches 0de009b).

Pure fixture-corpus drift — no c/captures.ts or query change branch-vs-main,
existing fixtures' captures byte-identical (c-captures.test.ts 45/45),
scaling stays linear (~0.97). Regenerated: 0de009b -> 39f3a83. Bench now
PASS (14 languages). Unrelated to the finalize O(n²) fix.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* perf(scope-resolution): lower kernel-scale resident memory floor + setup cost

Reduce the scope-resolution resident-memory floor and setup throughput on
huge repos (Linux kernel), the wall that remains after #1983 (parse OOM) and
the finalize O(n^2) fix (b71c77b8). Five units; all preserve byte-identical
edge output (C fixture 177n/255e + c/cpp/cross-file/php/static-linkage suites
green, 619 tests).

U1 (src/cli/analyze.ts): RAM-aware auto heap-cap. Replace the hardcoded
16384MB cap with computeHeapCapMb = max(16384, floor(0.75*effectiveRAM)),
where effectiveRAM = min(os.totalmem(), process.constrainedMemory()) with the
unconstrained-sentinel guard. Add --max-semi-space-size=128 on the respawn.
A user-supplied NODE_OPTIONS heap still wins (no re-exec). Verified: 23973MB
on a 31964MB box, 16384 floor on small machines, cgroup-aware, sentinel safe.

U2 (src/storage/parsedfile-store.ts, .../pipeline/phase.ts): export forceGc()
and call it at the per-language eviction boundary, so a finished language's
ParsedFiles are reclaimed before the next language's store-load instead of
collected lazily under the next pass's allocation pressure (which at cap>=RAM
degrades into swap-thrash). Measured on a real drivers/net/ethernet run:
C 2113->894MB and C++ 1754->1057MB reclaimed at the boundary (no fragmentation
defeat). Answers the plan's Open Question 1.

U3 (src/storage/parsedfile-store.ts): intern def objects by nodeId in the load
reviver so a SymbolDefinition's three serialized copies (localDefs /
scope.ownedDefs / scope.bindings[].def) collapse to one shared object on load.
Per-shard def pool (a def's copies are shard-local). Measured ~42% off the
def-object retained heap (3->1; 1.8M->600k distinct objects on 600k defs).

U4 (.../passes/free-call-fallback.ts): memoize pickUniqueGlobalCallable's
post-filter candidate list per (name, callerFilePath), only when no per-caller
visibility filter applies (the list is then a pure function of name+file), so
repeated free calls of one name from a file reuse the same-name-bucket scan
instead of re-walking a potentially huge bucket per site. The cached array is
read-only-consumed by the .filter()-based arity/overload narrowers. Exported
pickUniqueGlobalCallable + buildGlobalCallableIndex and added an equivalence
test (memoized == un-memoized reference for every (name, file, arity),
including warm-cache repeats and cross-file file-local exclusion).

U5 (.../pipeline/phase.ts): replace the O(L*F) per-language precount + repeated
scannedFiles.filter() with a single O(F) partition-by-language pass; bracket
buildGraphNodeLookup with scope-setup-nodeLookup heap probes so the long setup
is no longer silent.

Plan: docs/plans/2026-06-06-001-perf-kernel-scope-resolution-memory-plan.md
(U6 out-of-core global index deferred). Note: the kernel's full C++ pass floor
(~20k headers + the 8.8GB graph) likely still exceeds 24GB by itself, which is
why U6 remains the only unit that clears the wall.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(test): match OOM-guidance e2e assertions to the U1 reworded hint

The analyze-heap-oom-e2e real-child-OOM test still asserted the pre-U1
wording ('...out of memory.' + a hardcoded 24576 cap). U1 reworded the hint
to mention the auto heap-cap and use a <MB> placeholder, so the three
toContain substrings no longer matched (the assertion at line 62 failed on
all platforms). Update them to the current message. The unit twin
(analyze-heap-respawn) was already updated in 85bfc216; this integration
test was missed by the targeted local run.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* perf(lbug): U6a — deterministic id-sorted graph output behind GITNEXUS_SORT_GRAPH_OUTPUT

First increment of U6 (out-of-core scope-resolution). Adds an optional
deterministic ordering of node + relationship CSV rows by their unique graph
id, behind GITNEXUS_SORT_GRAPH_OUTPUT (default OFF = today's graph-insertion
order, byte-identical — the iterator is returned untouched). With the flag ON
the CSV becomes a pure function of the node/edge SET rather than of emit order.

This is the structural enabler for the windowed/out-of-core resolve (U6b-U6d):
csv-generator.ts:518 currently iterates graph.iterRelationships() in insertion
order with NO terminal sort, so any deviation from parsedFiles-order emit would
change bytes. With U6a on, a windowed emit need only reproduce the same edge
SET, not the global insertion order — removing the single largest byte-identical
hazard from every later windowing step.

Verified: default off keeps the existing csv-pipeline suite byte-identical; on,
node rows are id-sorted and output is independent of graph insertion order
(set-build) with the same node/edge set.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* perf(storage): U6d foundation — disk-backed scope store + lazy ScopeTree

Adds scope-index-store.ts: persistScopeShards (per-file scope shards via the
proven mapReplacer + def-interning reviver) + DiskBackedScopeTree, a lazy
ScopeTree that serves getScope from a bounded LRU of decoded shards plus a small
resident skeleton (scopeId -> {shard, childIds, parent}). Exports
makeInterningReviver from parsedfile-store for reuse.

This is the contained, highest-risk mechanism of U6d (out-of-core scope
resolution): the emit passes reach the heavy per-Scope binding payload
(~17-20GB on the kernel) ONLY through scopeTree.getScope (a point lookup) and
getChildren — they never read parsed.scopes directly — so moving that payload to
disk behind getScope is transparent. Every consumer reads a Scope BY VALUE, so a
value-faithful disk round-trip is byte-identical to resolution.

Proven in isolation: DiskBackedScopeTree is value-identical to buildScopeTree
for getScope/getChildren/getParent/getAncestors/has/size across multiple files
and after LRU eviction, and preserves the def-identity collapse (ownedDefs[i]
=== binding.def). Nothing wires it yet (the resolution-pipeline integration is
the next increment) — zero production impact; default off.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* perf(scope-resolution): U6d integration — seal scopeTree to disk before emit (GITNEXUS_DISK_SCOPE_INDEX)

Wires the U6d out-of-core scope index into the live pipeline behind
GITNEXUS_DISK_SCOPE_INDEX (default OFF = byte-identical). When on:

- finalize-orchestrator builds a TransitionalScopeTree (validated, fully
  resident) instead of buildScopeTree, so finalize/propagate/resolve are
  unchanged.
- After resolve, before emit, run.ts seals it: persists the scopes to a
  file-sharded scope-index-store, swaps the model's scopeTree to disk-backed
  serving from the inside (the frozen bundle can't be reassigned, but the
  wrapper nulls its own resident backing), and drops the heavy Scope.bindings
  payload from all THREE holders — the model's tree (seal), the caller's
  preExtractedParsedFiles, and run.ts's own parsedFiles (scope-stripped copies
  for emit). Emit reads scopes only via scopeTree.getScope (a point lookup,
  now disk-backed + LRU) — verified it never reads parsed.scopes.

Purpose: lower the per-language resident PEAK (kernel C pass ~20→~12 GB by
moving the ~8-9 GB scope payload to disk) so the analysis fits on smaller-RAM
machines. At >=24 GB the full kernel already fits with U1-U5 (U2's 8.7 GB
inter-language forceGc reclaim keeps each pass under cap) — empirically
confirmed — so this is the sub-24 GB lever, not needed at 24 GB.

Byte-identical evidence: DiskBackedScopeTree/TransitionalScopeTree return
value-identical scopes vs buildScopeTree (getScope/getChildren/getParent/
getAncestors, across files + after LRU eviction + post-seal); emit reads only
getScope + referenceSites; flag-off (394 tests) and flag-on-resident (91 tests)
resolver suites stay green; an end-to-end A/B on a 212-file C+cpp+rust subset
produced identical 17,444 nodes / 31,343 edges with the seal firing per language
(c: 410→141 MB reclaimed). Kernel-scale peak-drop measurement pending the
in-flight verdict run freeing memory.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* perf(scope-resolution): U6d — id-back workspaceIndex so the disk seal can reclaim scopes

The kernel run revealed the contained scopeTree seal didn't lower the heap:
WorkspaceResolutionIndex held Scope OBJECTS (classScopeByDefId / moduleScopeByFile),
built from every ParsedFile and live through emit, so the ~28k module + class
scopes stayed pinned past the seal (sr-seal-pre 17,583 -> sr-seal-post 17,771 MB,
no drop). It was the sole residual Scope-object holder (SemanticModel holds none).

Fix: classScopeByDefId / moduleScopeByFile become id-backed ScopeByKeyView
instances — a ReadonlyMap<K, Scope> facade over a K->ScopeId map + the scopeTree,
whose .get fetches via scopeTree.getScope(id). The index now pins only ids, so
once the tree seals to disk the scopes become collectible. Byte-identical: the
view returns the same Scope the resident tree holds (or a value-identical revived
one in disk mode), and iteration keeps the old insertion order. buildWorkspace
ResolutionIndex takes an optional scopeTree (live pipeline passes it); without it
(unit tests) the legacy direct Scope-object maps are returned unchanged.

Verified byte-identical: 733 tests across workspace-index / imported-return-types
/ c / cpp / cross-file / go / java. Kernel peak-drop re-measurement to follow.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* perf(scope-resolution): U6d — precompute exportedCallableByName (fix disk-getScope thrash)

The workspaceIndex id-backing freed the kernel scopes but exposed a throughput
collapse: findExportedDefByName's workspace fallback (walkers.ts:1019) scanned
EVERY module scope's bindings per unresolved free call, and under the U6d
disk-backed scopeTree each module-scope access faulted a shard in from disk —
lib ON went ~1min -> ~7.5min.

Fix: precompute the fallback result once into
WorkspaceResolutionIndex.exportedCallableByName (simpleName -> first module-local
callable def, first-file-wins — the exact semantics the scan returned), built
from the resident module-scope bindings at index-build time. findExportedDefByName
now does an O(1) lookup with zero disk reads.

Result: lib ON ~7.5min -> 21s (cache-warm), byte-identical 17,444/31,343; 758
tests green across workspace-index + c/cpp/cross-file/go/python.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs: rename cryptic U-unit codes to descriptive names in comments

The plan-unit shorthand (U3/U4/U6a/U6d/...) was meaningless in the code.
Renamed in comments + test descriptions (no behavior change, byte-identical):
  out-of-core scope index   (was U6)
  deterministic output      (was U6a)
  disk-backed scope seal    (was U6d)
  def-object interning      (was U3)
  free-call candidate cache (was U4)
Also renamed throughout the PR title/summary. Pushed commit messages keep
their original U-codes as historical record.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(ingestion): durable ParsedFile shards for warm-cache coverage (#2038)

On a warm re-analyze where every chunk is a parse-cache HIT, no parse worker
runs, the run-scoped ParsedFile store is cleared at parse start, and the cached
ParseWorkerResult carries no ParsedFiles (the worker writes them to the store
and empties them from the message). Scope-resolution then found an empty store
and fell back to main-thread extractParsedFile — re-opening the #1983
tree-sitter native-leak OOM the disk store closes (abhigyanpatwari review on
parse-cache.ts).

Fix: workers ALSO write their ParsedFiles to a durable, content-addressed store
(parsedfile-cache/) keyed by chunk hash, mirroring the parse cache's lifecycle
(version-gated by PARSE_CACHE_VERSION, pruned in lockstep to the surviving
keys). On a warm hit the chunk's durable shards are byte-COPIED into the
run-scoped store (no re-parse, no re-serialize -> byte-identical), so
scope-resolution streams them exactly as on a cold run. A coherence gate
re-dispatches the worker whenever a cached chunk's durable shards are missing
(migration / pruned / version-stale) -- never the main-thread extract.

- worker-pool/parse-worker: thread chunkHash through dispatch->job->flush
  (incl. split/requeue) so the worker tags its durable shard by content
- parsedfile-store: durable persist / restore / index / prune API (sibling
  dir, never cleared per run); content-addressing makes stale reuse impossible
- parse-impl: load durable index, gate the cache hit on durable coverage,
  restore on hit, dispatch chunkHash on miss
- run-analyze: prune+save the durable store to the parse cache's surviving keys
- saveParseCache returns its written keys (the durable keepKeys)

Verified on linux/lib: warm preExtractedHits = full coverage (520/207/1, zero
main-thread re-parse), byte-identical cold==warm (17,456n/31,353e), warm 8.5x
faster. New two-run + mixed-mode + coherence-gate regression test.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(ingestion): clear stale scope-index-store shards on each seal (#2038)

The disk-backed scope index writes sequential s<n>.json shards into a shared
<storagePath>/scope-index-store/ dir, with the index resetting per
persistScopeShards call. A seal that writes fewer shards than a previous one
(a later language with fewer files, or a re-run of a shrunken repo) left stale
tail shards on disk indefinitely -- never read by the disk-backed tree, but
multi-GB on kernel-scale repos.

Add clearScopeIndexStore() and clear at the start of persistScopeShards: the
previously sealed language has finished emit and been released before the next
seal runs, so its DiskBackedScopeTree never reads those shards again. Unit
tests: a stale prior-run shard is removed, a fewer-files re-seal leaves no tail
shards, and the helper is idempotent.

Addresses abhigyanpatwari review on run.ts (disk hygiene for the
GITNEXUS_DISK_SCOPE_INDEX path).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-06 22:46:34 +01:00

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GitNexus

Graph-powered code intelligence for AI agents. Index any codebase into a knowledge graph, then query it via MCP or CLI.

Works with Cursor, Claude Code, Antigravity (Google), Codex, Windsurf, Cline, OpenCode, and any MCP-compatible tool.

npm version License: PolyForm Noncommercial


Why?

AI coding tools don't understand your codebase structure. They edit a function without knowing 47 other functions depend on it. GitNexus fixes this by precomputing every dependency, call chain, and relationship into a queryable graph.

Three commands to give your AI agent full codebase awareness.

Quick Start

# Index your repo (run from repo root)
npx gitnexus analyze

That's it. This indexes the codebase, installs agent skills, registers Claude Code hooks, and creates AGENTS.md / CLAUDE.md context files — all in one command.

On npm 11.x? npx can crash during install (Cannot destructure property 'package' of 'node.target'). Use the pnpm form instead:

pnpm --allow-build=@ladybugdb/core --allow-build=gitnexus --allow-build=tree-sitter dlx gitnexus@latest analyze

See Troubleshooting → npx gitnexus crashes with node.target is null (npm 11) for the full matrix (global install, npm downgrade).

To configure MCP for your editor, run npx gitnexus setup once — or set it up manually below.

gitnexus setup auto-detects your editors and writes the correct global MCP config. You only need to run it once.

Editor Support

Editor MCP Skills Hooks (auto-augment) Support
Claude Code Yes Yes Yes (PreToolUse) Full
Cursor Yes Yes Yes (postToolUse, manual install) Full
Antigravity (Google) Yes Yes Yes (AfterTool, Gemini CLI hooks schema) Full
Codex Yes Yes — MCP + Skills
Windsurf Yes — — MCP
OpenCode Yes Yes — MCP + Skills

Claude Code gets the deepest integration: MCP tools + agent skills + PreToolUse hooks that automatically enrich grep/glob/bash calls with knowledge graph context.

Community Integrations

Agent Install Source
pi pi install npm:pi-gitnexus pi-gitnexus

MCP Setup (manual)

If you prefer to configure manually instead of using gitnexus setup:

Claude Code (full support — MCP + skills + hooks)

# macOS / Linux
claude mcp add gitnexus -- npx -y gitnexus@latest mcp

# Windows
claude mcp add gitnexus -- cmd /c npx -y gitnexus@latest mcp

Codex (full support — MCP + skills)

codex mcp add gitnexus -- npx -y gitnexus@latest mcp

Cursor / Windsurf

Add to ~/.cursor/mcp.json (global — works for all projects):

{
  "mcpServers": {
    "gitnexus": {
      "command": "npx",
      "args": ["-y", "gitnexus@latest", "mcp"]
    }
  }
}

OpenCode

Add to ~/.config/opencode/config.json:

{
  "mcp": {
    "gitnexus": {
      "command": "npx",
      "args": ["-y", "gitnexus@latest", "mcp"]
    }
  }
}

How It Works

GitNexus builds a complete knowledge graph of your codebase through a multi-phase indexing pipeline:

  1. Structure — Walks the file tree and maps folder/file relationships
  2. Parsing — Extracts functions, classes, methods, and interfaces using Tree-sitter ASTs
  3. Resolution — Resolves imports and function calls across files with language-aware logic
    • Field & Property Type Resolution — Tracks field types across classes and interfaces for deep chain resolution (e.g., user.address.city.getName())
    • Return-Type-Aware Variable Binding — Infers variable types from function return types, enabling accurate call-result binding
  4. Clustering — Groups related symbols into functional communities
  5. Processes — Traces execution flows from entry points through call chains
  6. Search — Builds hybrid search indexes for fast retrieval

The result is a LadybugDB graph database stored locally in .gitnexus/ with full-text search and semantic embeddings.

MCP Tools

Your AI agent gets these tools automatically:

Tool What It Does repo Param
list_repos Discover all indexed repositories —
query Process-grouped hybrid search (BM25 + semantic + RRF) Optional
context 360-degree symbol view — categorized refs, process participation Optional
impact Blast radius analysis with depth grouping and confidence Optional
detect_changes Git-diff impact — maps changed lines to affected processes Optional
rename Multi-file coordinated rename with graph + text search Optional
cypher Raw Cypher graph queries Optional

With one indexed repo, the repo param is optional. With multiple, specify which: query({query: "auth", repo: "my-app"}).

MCP Resources

Resource Purpose
gitnexus://repos List all indexed repositories (read first)
gitnexus://repo/{name}/context Codebase stats, staleness check, and available tools
gitnexus://repo/{name}/clusters All functional clusters with cohesion scores
gitnexus://repo/{name}/cluster/{name} Cluster members and details
gitnexus://repo/{name}/processes All execution flows
gitnexus://repo/{name}/process/{name} Full process trace with steps
gitnexus://repo/{name}/schema Graph schema for Cypher queries

MCP Prompts

Prompt What It Does
detect_impact Pre-commit change analysis — scope, affected processes, risk level
generate_map Architecture documentation from the knowledge graph with mermaid diagrams

CLI Commands

gitnexus setup                   # Configure MCP for your editors (one-time)
gitnexus analyze [path]          # Index a repository (or update stale index)
gitnexus analyze --repair-fts    # Fast path: rebuild/verify only FTS indexes on existing index data
gitnexus analyze --force         # Full rebuild: re-parse + graph rebuild + FTS rebuild
gitnexus analyze --embeddings    # Enable embedding generation (slower, better search)
gitnexus analyze --skip-agents-md  # Preserve custom AGENTS.md/CLAUDE.md gitnexus section edits
gitnexus analyze --verbose       # Log skipped files when parsers are unavailable
gitnexus analyze --max-file-size 1024  # Skip files larger than N KB (default: 512, cap: 32768)
gitnexus analyze --worker-timeout 60  # Increase worker idle timeout for slow parses
gitnexus analyze --wal-checkpoint-threshold 67108864  # 64 MiB. Control LadybugDB WAL auto-checkpoint threshold (default: 67108864 = 64 MiB; -1 keeps Ladybug stock ~16 MiB)
gitnexus mcp                     # Start MCP server (stdio) — serves all indexed repos
gitnexus serve                   # Start local HTTP server (multi-repo) for web UI
gitnexus index                   # Register an existing .gitnexus/ folder into the global registry
gitnexus list                    # List all indexed repositories
gitnexus status                  # Show index status for current repo
gitnexus clean                   # Delete index for current repo
gitnexus clean --all --force     # Delete all indexes
gitnexus wiki [path]             # Generate LLM-powered docs from knowledge graph
gitnexus wiki --model <model>    # Wiki with custom LLM model (default: gpt-4o-mini)

# Direct graph queries — the same tools the MCP server exposes, no MCP daemon needed
gitnexus query "<concept>"                                    # Process-grouped hybrid search
gitnexus context <symbol> [--uid <uid> | --file <path>]       # 360° symbol view; flags disambiguate a shared name
gitnexus impact <symbol> [--uid <uid> | --file <path> | --kind <kind>]  # Blast radius; flags disambiguate a shared name
gitnexus detect-changes          # Map the working-tree diff to affected symbols and execution flows
gitnexus cypher "<query>"        # Run a raw Cypher query against the knowledge graph

# Repository groups (multi-repo / monorepo service tracking)
gitnexus group create <name>                                   # Create a repository group
gitnexus group add <group> <groupPath> <registryName>          # Add a repo to a group. <groupPath> is a hierarchy path (e.g. hr/hiring/backend); <registryName> is the repo's name from the registry (see `gitnexus list`)
gitnexus group remove <group> <groupPath>                      # Remove a repo from a group by its hierarchy path
gitnexus group list [name]                                     # List groups, or show one group's config
gitnexus group sync <name>                                     # Extract contracts and match across repos/services
gitnexus group contracts <name>  # Inspect extracted contracts and cross-links
gitnexus group query <name> <q>  # Search execution flows across all repos in a group
gitnexus group status <name>     # Check staleness of repos in a group

Remote Embeddings

Set these env vars to use a remote OpenAI-compatible /v1/embeddings endpoint instead of the local model:

export GITNEXUS_EMBEDDING_URL=http://your-server:8080/v1
export GITNEXUS_EMBEDDING_MODEL=BAAI/bge-large-en-v1.5
export GITNEXUS_EMBEDDING_DIMS=1024          # optional, default 384
export GITNEXUS_EMBEDDING_API_KEY=your-key   # optional, default: "unused"
gitnexus analyze . --embeddings

Works with Infinity, vLLM, TEI, llama.cpp, Ollama, LM Studio, or OpenAI. When unset, local embeddings are used unchanged.

Multi-Repo Support

GitNexus supports indexing multiple repositories. Each gitnexus analyze registers the repo in a global registry (~/.gitnexus/registry.json). The MCP server serves all indexed repos automatically.

Supported Languages

TypeScript, JavaScript, Python, Java, C, C++, C#, Go, Rust, PHP, Kotlin, Swift, Ruby

Language Feature Matrix

Language Imports Named Bindings Exports Heritage Type Annotations Constructor Inference Config Frameworks Entry Points
TypeScript ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
JavaScript ✓ ✓ ✓ ✓ — ✓ ✓ ✓ ✓
Python ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Java ✓ ✓ ✓ ✓ ✓ ✓ — ✓ ✓
Kotlin ✓ ✓ ✓ ✓ ✓ ✓ — ✓ ✓
C# ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Go ✓ — ✓ ✓ ✓ ✓ ✓ ✓ ✓
Rust ✓ ✓ ✓ ✓ ✓ ✓ — ✓ ✓
PHP ✓ ✓ ✓ — ✓ ✓ ✓ ✓ ✓
Ruby ✓ — ✓ ✓ — ✓ — ✓ ✓
Swift — — ✓ ✓ ✓ ✓ ✓ ✓ ✓
C — — ✓ — ✓ ✓ — ✓ ✓
C++ — — ✓ ✓ ✓ ✓ — ✓ ✓

Imports — cross-file import resolution · Named Bindings — import { X as Y } / re-export tracking · Exports — public/exported symbol detection · Heritage — class inheritance, interfaces, mixins · Type Annotations — explicit type extraction for receiver resolution · Constructor Inference — infer receiver type from constructor calls (self/this resolution included for all languages) · Config — language toolchain config parsing (tsconfig, go.mod, etc.) · Frameworks — AST-based framework pattern detection · Entry Points — entry point scoring heuristics

Agent Skills

GitNexus ships with skill files that teach AI agents how to use the tools effectively:

  • Exploring — Navigate unfamiliar code using the knowledge graph
  • Debugging — Trace bugs through call chains
  • Impact Analysis — Analyze blast radius before changes
  • Refactoring — Plan safe refactors using dependency mapping

Installed automatically by both gitnexus analyze (per-repo) and gitnexus setup (global).

Requirements

  • Node.js >= 18
  • Git repository (uses git for commit tracking)

Release candidates

Stable releases publish to the default latest dist-tag. When a pull request with non-documentation changes merges into main, an automated workflow also publishes a prerelease build under the rc dist-tag, so early adopters can try in-flight fixes without waiting for the next stable cut. (Docs-only merges are skipped.)

# Try the latest release candidate (pre-stable — may change at any time)
npm install -g gitnexus@rc
# — or —
npx gitnexus@rc analyze

Release-candidate versions follow the standard semver prerelease format X.Y.Z-rc.N, where X.Y.Z is the next stable target (bumped from the current latest by patch by default; minor or major when kicking off a bigger cycle) and N increments per published rc. Example sequence: 1.6.2-rc.1, 1.6.2-rc.2, …, then once 1.6.2 ships stable, 1.6.3-rc.1. See the Releases page for the full list; stable latest is unaffected.

Troubleshooting

Cannot destructure property 'package' of 'node.target' as it is null

This error comes from npm 11.x's arborist while installing gitnexus (often via npx), before gitnexus code runs. It is triggered by platform-filtered optionalDependencies in native packages such as onnxruntime-node / @huggingface/transformers (used when indexing with --embeddings). GitNexus cannot catch it at runtime — use one of these workarounds:

pnpm --allow-build=@ladybugdb/core --allow-build=gitnexus --allow-build=tree-sitter dlx gitnexus@latest analyze       # auto-selected when pnpm + npm 11+
npm install -g gitnexus@latest         # global install avoids per-run npx reify
gitnexus analyze                       # if already installed globally

On pnpm 10+, lifecycle scripts are blocked unless explicitly allowed — the resolver adds --allow-build for @ladybugdb/core, gitnexus, and tree-sitter automatically when it picks pnpm dlx.

If you must stay on npm 11.x without pnpm, downgrade npm toolchain-wide (last resort):

npm install -g npm@10.9.0

See #1939 and the original #819 thread. An older variant of this crash (tree-sitter-dart tarball URL) was fixed in gitnexus v1.6.2+ (#820); if you still see install failures after upgrading, clear cache:

npm cache clean --force
npx gitnexus@latest analyze

ERR_DLOPEN_FAILED / lbugjs.node missing (pnpm dlx, pnpx)

GitNexus depends on @ladybugdb/core, whose native database addon (lbugjs.node) is placed by a postinstall script. pnpm dlx, pnpx, and any install run with --ignore-scripts skip lifecycle scripts, so the addon is never put in place and the runtime crashes with ERR_DLOPEN_FAILED:

Error: dlopen(.../@ladybugdb/core/lbugjs.node, ...): tried: '...' (no such file)
  code: 'ERR_DLOPEN_FAILED'

Options that run install scripts:

# pnpm dlx with explicit build permission (one-off, no global install required)
pnpm --allow-build=@ladybugdb/core --allow-build=gitnexus --allow-build=tree-sitter \
  dlx gitnexus@latest serve

# npm: global install (recommended on npm 11+; bare npx may crash — see section above)
npm install -g gitnexus@latest
gitnexus serve

# npx (npm < 11, or after upgrading npm)
npx gitnexus@latest serve

# pnpm: global install with build scripts allowed (pnpm 10.2+; no approve-builds -g on pnpm 11+)
pnpm add -g --allow-build=@ladybugdb/core --allow-build=gitnexus --allow-build=tree-sitter gitnexus
gitnexus serve

Installation fails with native module errors

Some optional language grammars (Dart, Kotlin, Swift) require native compilation. If they fail, GitNexus still works — those languages will be skipped.

If npm install -g gitnexus fails on native modules:

# Ensure build tools are available (Linux/macOS)
# Ubuntu/Debian: sudo apt install python3 make g++
# macOS: xcode-select --install

# Retry installation
npm install -g gitnexus

Analyze warns about unavailable FTS or VECTOR extensions

GitNexus uses optional DuckDB extensions for BM25 and vector search. The gitnexus serve and MCP read paths only ever try to LOAD the extensions — they never block on a network install. The analyze command, by default, attempts one bounded out-of-process INSTALL if LOAD fails and proceeds even when that install times out, so the index is always written to disk; BM25/vector search degrade gracefully until the extensions become available.

Configure the behavior with two environment variables:

Variable Values Default Effect
GITNEXUS_LBUG_EXTENSION_INSTALL auto, load-only, never auto auto runs one bounded INSTALL if LOAD fails. load-only only uses already-installed extensions (recommended for offline / firewalled environments). never skips optional extensions entirely.
GITNEXUS_LBUG_EXTENSION_INSTALL_TIMEOUT_MS positive integer 15000 Wall-clock budget for the out-of-process INSTALL child before it is killed.
GITNEXUS_WAL_CHECKPOINT_THRESHOLD integer >= -1 67108864 (64 MiB) LadybugDB WAL auto-checkpoint threshold during analyze (bytes). Auto-checkpoint remains enabled; -1 keeps Ladybug's stock ~16 MiB. Larger thresholds reduce checkpoint frequency but increase the WAL size at rotation time — choose a smaller value on disk-constrained environments.
# Offline/airgapped: never reach the network for extensions
GITNEXUS_LBUG_EXTENSION_INSTALL=load-only npx gitnexus analyze

# Slow network: give extension downloads more time
GITNEXUS_LBUG_EXTENSION_INSTALL_TIMEOUT_MS=30000 npx gitnexus analyze

Analysis runs out of memory

For very large repositories:

# Increase Node.js heap size
NODE_OPTIONS="--max-old-space-size=16384" npx gitnexus analyze

# Exclude large directories
echo "vendor/" >> .gitnexusignore
echo "dist/" >> .gitnexusignore

Large files are being skipped

By default the walker skips files larger than 512 KB (see log line Skipped N large files (>512KB)). Raise the threshold via either the CLI flag or the environment variable — both accept a value in KB:

# CLI flag (takes precedence over the env var)
npx gitnexus analyze --max-file-size 2048     # skip only files > 2 MB

# Environment variable (persists across commands)
export GITNEXUS_MAX_FILE_SIZE=2048
npx gitnexus analyze

Values above 32768 KB (32 MB) are clamped to the tree-sitter parser ceiling; invalid values fall back to the 512 KB default with a one-time warning. When an override is active, analyze prints the effective threshold in its startup banner (e.g. GITNEXUS_MAX_FILE_SIZE: effective threshold 2048KB (default 512KB)).

Analyze reports a worker timeout

Worker parse timeouts are recoverable. GitNexus retries stalled worker jobs with backoff, splits large jobs to isolate slow files, and quarantines a file that repeatedly crashes its worker (respawning the slot so the pool keeps going). If a large repository needs more time per worker job, use either:

# CLI flag, in seconds
npx gitnexus analyze --worker-timeout 60

# Environment variable, in milliseconds
export GITNEXUS_WORKER_SUB_BATCH_TIMEOUT_MS=60000
npx gitnexus analyze

For repositories with very large source files, GITNEXUS_WORKER_SUB_BATCH_MAX_BYTES controls the worker job byte budget. The default is 8388608 bytes (8 MB).

Worker pool resilience tuning

Three env vars expose the pool's resilience layers (respawn budget, cumulative-timeout cap, circuit breaker). Defaults are tuned for typical repos; bump them when an analyze legitimately needs more retries, or lower them to fail-fast on a known-bad shape.

Variable Default Effect
GITNEXUS_WORKER_MAX_RESPAWNS_PER_SLOT 3 Max replacement spawns per slot before the slot is dropped from the active rotation.
GITNEXUS_WORKER_MAX_CUMULATIVE_TIMEOUT_MS 5 × subBatchTimeoutMs Total retry wall-time budget per job before quarantining. Bounds exponentially-growing retry waits.
GITNEXUS_WORKER_CONSECUTIVE_FAILURE_THRESHOLD max(3, poolSize) Per-slot consecutive deaths before the pool's circuit breaker trips. After tripping, dispatches require a fresh pool.

Privacy

  • All processing happens locally on your machine
  • No code is sent to any server
  • Index stored in .gitnexus/ inside your repo (gitignored)
  • Global registry at ~/.gitnexus/ stores only paths and metadata

Web UI

GitNexus also has a browser-based UI at gitnexus.vercel.app — 100% client-side, your code never leaves the browser.

Local Backend Mode: Run gitnexus serve and open the web UI locally — it auto-detects the server and shows all your indexed repos, with full AI chat support. No need to re-upload or re-index. The agent's tools (Cypher queries, search, code navigation) route through the backend HTTP API automatically.

License

PolyForm Noncommercial 1.0.0

Free for non-commercial use. Contact for commercial licensing.