GitNexus/gitnexus
Sparsh 23bf594a70
fix(standalone): wire standalone providers into scope-extractor for registry-primary (COBOL Ring 3 flip) (#1842)
* feat(cobol): migrate COBOL to scope-based resolution (regex provider)

Migrate COBOL to scope-based registry resolution, validating the
parse-source-agnostic contract — COBOL uses regex, not tree-sitter,
but implements the same LanguageProvider interface via emitScopeCaptures.

Phase 1-5 complete per #941 DoD.

New files:
  languages/cobol/captures.ts       — emitScopeCaptures wrapping regex tagger
  languages/cobol/interpret.ts      — import/type-binding/receiver hooks
  languages/cobol/index.ts          — barrel export
  languages/cobol/scope-resolver.ts — ScopeResolver wiring (9 fields, 3 toggles)

Modified files:
  languages/cobol.ts                — wire 4 scope-resolution hooks
  registry.ts                       — register cobolScopeResolver
  registry-primary-flag.ts          — document REGISTRY_PRIMARY_COBOL

Fixtures:
  17 fixture files, 30 test cases across 11 required classes
  test/integration/resolvers/cobol-scope.test.ts

Tests: 24/24 pass (default + REGISTRY_PRIMARY_COBOL=0)
tsc: zero cobol-specific errors
Shadow mode (GITNEXUS_SHADOW_MODE=1): zero crashes
Regex perf: 10K-line file in 408ms (threshold: 2000ms)

NOT added to MIGRATED_LANGUAGES — REGISTRY_PRIMARY_COBOL env var only.

* chore(cobol): add COBOL to MIGRATED_LANGUAGES

* fix(cobol): revert MIGRATED_LANGUAGES flip, fix JSDoc dup, fix arityCompatibility

* fix(standalone): wire standalone providers into scope-extractor for registry-primary (COBOL Ring 3 flip)

- Gate cobolPhase with isRegistryPrimary() guard to prevent double emission
- Wire standalone providers (parseStrategy !== 'tree-sitter') with
  emitScopeCaptures into parse-worker via extractParsedFile bridge
- Add COBOL to MIGRATED_LANGUAGES in registry-primary-flag.ts
- Fix Module scope range in captures.ts to use full program bounds
  (was just PROGRAM-ID line, causing scope containment failures)
- Update cobol.test.ts grand totals to be mode-aware
- Wrap legacy exact-count assertions in if (!isPrimary)
- Fix cobol-scope.test.ts fixture path to use __dirname (was process.cwd())

Tests:
  REGISTRY_PRIMARY_COBOL=0: 83/83 pass (59 legacy + 24 capture)
  REGISTRY_PRIMARY_COBOL=1: 28/28 pass (4 mode-aware + 24 capture)

* test(cobol): restore original test assertions, add mode-aware describe blocks alongside

- Remove if (!isPrimary) wrapper from legacy assertions
- Keep ALL 59 original tests intact and running unconditionally
- Add new 'scope-resolution mode' describe block alongside legacy tests
- New block uses isPrimary to check for scope-resolution capture output
- Legacy tests run against cobolPhase output (skipGraphPhases=true)
- Mode-aware tests validate standalone provider wiring in registry-primary mode

* fix(test): use result.graph instead of result.parsedFiles in scope-mode test

- PipelineResult has no parsedFiles field; use graph.nodes instead
- Use toBe strict equality (not.toBeNull()) per review feedback
- Object.keys for node count as suggested by reviewer

* test(cobol): add COBOL pipeline benchmark following PHP benchmark structure

- Generate synthetic COBOL codebases at 100/250/500 file scales
- Each file has 1 PROGRAM-ID, N paragraphs, cross-file CALLs, COPY books
- Measures wall-clock time, peak heap, node/edge counts
- SkipIf(!GITNEXUS_BENCH) — run with GITNEXUS_BENCH=1
- Prints table with scaling ratios and linearity assertions

* fix(bench): remove COPY from paragraphs, add REGISTRY_PRIMARY_COBOL note

- COPY statements belong only in DATA DIVISION (already present there)
- Revert copyLine inside paragraph blocks to idiomatic COBOL
- Add header note about =1 mode producing ~0 node/edge counts

* fix(bench): restore COPY in paragraphs for preprocessing stress

- COPY in paragraph blocks exercises the preprocessor expansion path
  more heavily than DATA DIVISION only placement.

* fix(bench): constant 3 paragraphs per program, add 1000-files scale, relax threshold to 4x

- Fixed paragraphsPerProgram to constant 3 for consistent scaling
- Added 1000-file scale to benchmark
- Raised assertion threshold to 4x to accommodate 100-250 step

* fix: skip standalone providers in scope-resolution phase when registry-primary

scopeResolutionPhase was reading all COBOL files from disk and running
scope-resolution for standalone providers that don't emit graph edges
yet. Added a guard: if provider.languageProvider.parseStrategy ===
'standalone', skip it entirely. Saves 68s at 1000 files in =1 mode.

* fix: remove COBOL isRegistryPrimary gate, suppress standalone IMPORTS double-emission

- Remove the isRegistryPrimary gate in cobolPhase so it runs in both modes,
  keeping cobolPhase as the sole COBOL graph-edge producer.
- Add a guard in runScopeResolution to skip emitImportEdges for standalone
  providers (parseStrategy === 'standalone'), preventing scope-resolution
  from duplicating IMPORTS edges already produced by cobolPhase.
- Scope-resolution still runs for standalone providers (capture extraction,
  model finalization, reference resolution) — only edge emission is skipped.
- Both modes: 60/60 cobol.test.ts, 24/24 cobol-scope.test.ts.

* fix: 4 review fixes — dead code removal, memory cleanup, benchmark comment, standalone-bridge test

1. Remove dead standalone guard in run.ts (phase.ts:164 is canonical).
2. Filter standalone preExtractedByPath entries in phase.ts (memory leak).
3. Update benchmark comment: cobolPhase runs in both modes.
4. Add unit test proving extractParsedFile works for COBOL standalone provider.
   Revert PipelineResult.parsedFiles — not needed with unit test approach.

* perf(cobol): memoize copybook preprocessing; make benchmark measure file-count scaling

The COBOL pipeline benchmark reported superlinear (quadratic) scaling, but the
pipeline itself is O(n) in file count. The superlinearity was a fixture artifact:
every program COPYed all floor(fileCount/5) copybooks in WORKING-STORAGE, so
emitted data-item nodes — and total work — grew O(n^2). Verified empirically:
node count grew ~2x per file-doubling; with constant per-program fan-out it grows
exactly 1x (linear), and 0/3 adversarial audits could refute the O(n) conclusion.

- benchmark: each program now COPYs a constant 3 shared copybooks so the
  benchmark measures true file-count scaling. Add a deterministic node-ratio
  assertion that fails if the O(n^2) copy-all fan-out is reintroduced.
- processor: memoize preprocessed copybook content per processCobol call so each
  copybook is preprocessed once, not once per COPY site
  (O(programs x copybooks) -> O(copybooks)). Safe: REPLACING is applied later by
  the expander on the cached pre-REPLACING content.

Verified: 246 COBOL tests pass; benchmark scales linearly (node ratio 1.0); tsc clean.

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

---------

Co-authored-by: Gergő Magyar <gergomagyar@icloud.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 14:25:19 +01:00
..
.claude feat(cpp): sfinae filter (#1623) 2026-05-16 20:23:13 +01:00
bench fix(workers): resilient + zero-copy ingestion worker pool — prevent analyze hangs on TS-root-scale loads (#1693) 2026-05-20 20:39:35 +01:00
hooks feat(setup): implement antigravity integration setup and hook adapter… (#1730) 2026-05-25 14:46:17 +01:00
scripts fix(lbug): resolve non-ASCII paths for KuzuDB on Windows (#1811) (#1817) 2026-05-25 21:28:12 +01:00
shadow-parity-dashboard feat(ingestion): shadow-mode parity harness + static dashboard (#923, RFC #909 Ring 2 PKG) (#972) 2026-04-18 21:30:43 +01:00
skills docs: clarify PostToolUse hook is notification-only, not auto-reindex (#1070) 2026-04-26 06:06:15 +01:00
src fix(standalone): wire standalone providers into scope-extractor for registry-primary (COBOL Ring 3 flip) (#1842) 2026-05-29 14:25:19 +01:00
test fix(standalone): wire standalone providers into scope-extractor for registry-primary (COBOL Ring 3 flip) (#1842) 2026-05-29 14:25:19 +01:00
vendor fix(install): materialize vendored grammars to fix Windows EPERM (#1728) (#1729) 2026-05-21 16:47:22 +01:00
.env.example feat: add .env.example, empty batch guard, dimension mismatch warning 2026-03-20 20:15:59 -04:00
.npmignore fix: add preinstall cleanup to prevent ENOTEMPTY on global upgrade (#843) 2026-04-15 14:10:49 +01:00
CHANGELOG.md chore: release v1.6.5 (#1645) 2026-05-16 17:11:25 +01:00
Dockerfile.test fix(security): Pin Docker Node base images, remove runtime package-manager CVE surface, verify Trivy on PRs, and harden Dependabot policy (#1455) 2026-05-09 16:55:31 +01:00
package-lock.json chore(deps)(deps): bump lru-cache from 11.4.0 to 11.5.0 in /gitnexus (#1844) 2026-05-27 06:45:18 +01:00
package.json chore(ci): consolidate parity shards and narrow cross-platform matrix (#1798) 2026-05-24 12:10:10 +01:00
README.md feat(setup): implement antigravity integration setup and hook adapter… (#1730) 2026-05-25 14:46:17 +01:00
tsconfig.json feat: configure prettier with pre-commit hook (#563) 2026-03-28 14:58:04 +00:00
tsconfig.test.json test: add test suite with vitest (unit + integration + fixtures) 2026-03-01 20:07:02 +05:30
vitest.config.ts fix(lbug): resolve non-ASCII paths for KuzuDB on Windows (#1811) (#1817) 2026-05-25 21:28:12 +01:00

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.

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)

# 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 Bindingsimport { 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 crash was caused by a dependency URL format that is incompatible with certain npm/arborist versions (npm/cli#8126). It is fixed in gitnexus v1.6.2+. Upgrade to the latest version:

npx gitnexus@latest analyze          # always uses the newest release
# — or —
npm install -g gitnexus@latest       # upgrade a global install

If you still hit npm install issues after upgrading, these generic workarounds may help:

npm install -g npm@latest            # update npm itself
npm cache clean --force              # clear a possibly corrupt cache

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 falls back to the sequential parser when needed. 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.