* feat(phase8): add field type data structures and extractor interface
* feat(phase8): implement TypeScript field extractor
* feat-phase9-add-call-result-binding
* test-phase8-add-field-extraction-unit-tests
* docs: update documentation for Phase 8 and Phase 9
* feat(swift): Phase 8/9 integration tests for field-type and call-result binding
Add Swift field-type resolution and call-result binding integration tests
with fixtures, plus merge-conflict fixes for the FieldExtractor code.
**Swift integration tests:**
- `swift-field-types/` fixture (Models.swift + App.swift) — tests
HAS_PROPERTY edges, field-chain CALLS resolution (user.address.save()
→ Address#save), and ACCESSES edges for field reads.
- `swift-call-result-binding/` fixture — tests call-result binding
(let user = getUser(); user.save() → User#save).
- 2 new describe blocks in swift.test.ts with skipIf(!swiftAvailable).
**Swift arity fix:**
- extractMethodSignature fallback counts direct `parameter` children
when no wrapper list node exists (Swift's tree-sitter grammar places
parameters as direct children of function_declaration). Without this,
all Swift functions had parameterCount: 0 and the arity filter rejected
valid call targets.
**FieldExtractor merge-conflict fixes:**
- field-extractor.ts: update import from removed ./utils.js to
./utils/ast-helpers.js; use typeEnv.fileScope() instead of .get('').
- field-extractors/typescript.ts: same import fix.
- field-types.ts: alias TypeEnvironment as TypeEnv (renamed on main).
- field-extraction.test.ts: mock TypeEnvironment interface properly.
* feat(field-extractors): generic table-driven field extractors for all 14 languages, wired into pipeline
Implements field extractors for all supported languages and integrates
them into the ingestion pipeline as the single source of truth for
Property node metadata.
**Generic field extractor factory** — `field-extractors/generic.ts`
defines a `createFieldExtractor(config)` factory that generates
FieldExtractor instances from a per-language `FieldExtractionConfig`.
Each config specifies AST node types, name/type/visibility extraction
functions, and static/readonly detection — typically 20-40 lines per
language vs 300+ for a hand-written extractor.
**Per-language configs** — `field-extractors/configs/` has 11 config
files covering 13 languages (TS/JS share, Java/Kotlin share).
TypeScript keeps its hand-written extractor for richer handling.
**LanguageProvider integration** — New optional `fieldExtractor` property
on LanguageProviderConfig, set via defineLanguage() in each language
file. Follows the same strategy pattern as typeConfig, exportChecker,
and labelOverride. Removed the separate FieldExtractorRegistry class
and field-extractors/index.ts — extractors are accessed via
getProvider(lang).fieldExtractor.
**Pipeline wiring** — Both parse-worker.ts (worker pool) and
parsing-processor.ts (sequential fallback) now call the FieldExtractor
during Property node creation. Results are cached per class node.
Property nodes are enriched with: declaredType, visibility, isStatic,
isReadonly.
**extractPropertyDeclaredType removed** — The 100-line multi-strategy
function in type-extractors/shared.ts is replaced by the FieldExtractor.
All 14 languages register an extractor, eliminating the need for a
generic fallback. The Python config's extractType was fixed to handle
annotation-without-value patterns (address: Address).
**Integration tests** — Each language's resolver test file gains
pipeline-based assertions verifying visibility/isStatic/isReadonly on
Property nodes via getNodesByLabelFull. Tests run through
runPipelineFromRepo with real fixtures — no direct extractor calls.
* fix(type-env): thread enclosingFunctionFinder through scope resolution, unskip Dart ACCESSES test
The type-env's findEnclosingScopeKey had the same Dart sibling problem
as findEnclosingFunction — it walked parents but never found
function_signature because the call lives inside function_body (a
sibling). Instead of hardcoding a function_body check, thread the
provider's enclosingFunctionFinder hook through BuildTypeEnvOptions →
lookupInEnv → findEnclosingScopeKey. All three buildTypeEnv call sites
(call-processor, parsing-processor, parse-worker) now pass the hook.
This enables the type-env to resolve scoped parameter bindings for Dart
(e.g., `user: User` in processUser), which lets the chain-resolution
tier (Step 1c) walk `user.address` and emit ACCESSES edges.
Dart integration test unskipped — 10/10 passing including ACCESSES.
Reverted CHANGELOG.md to origin/main.
* fix: resolve all PR #494 review findings (10 items)
CRITICAL:
- parse-worker.ts: classNode: any → SyntaxNode on getFieldInfo
and findEnclosingClassNode; removed redundant as number casts
- parsing-processor.ts: classNode: any → SyntaxNode on seqGetFieldInfo
HIGH:
- ruby.ts: attr_accessor now extracts ALL symbol arguments via
extractNames hook in generic factory (was firstNamedChild only)
- typescript.ts: added JSDoc explaining why hand-written extractor
coexists with config-based typescript-javascript.ts
MEDIUM:
- field-types.ts: FieldVisibility union type replaces string
('public'|'private'|'protected'|'internal'|'package'|'fileprivate'|'open')
Propagated through field-extractor.ts, generic.ts, all 7 config files
- typescript.ts: extractFullType collapsed from 12 branches to 3 lines
- generic.ts: added extractNames? optional hook + buildField refactor
LOW:
- ruby.ts: extractVisibility(node) → extractVisibility(_node)
- python.ts: fixed misleading isStatic comment
TypeScript compiles cleanly.
* test: add 24 field extraction tests for generic factory + 5 languages
Generic factory (4 tests):
- createFieldExtractor with TypeScript config validates factory itself
- Body discovery for interfaces, static/readonly modifiers
- Non-type node rejection
Python (4 tests):
- Annotated class field extraction
- Underscore-based visibility: _name=protected, __name=private
Go (5 tests):
- isTypeDeclaration on type_declaration nodes
- Config functions: uppercase=public, lowercase=package visibility
- extractType, isStatic, isReadonly
C++ (5 tests):
- public/private/protected access specifier backward-sibling walk
- Default visibility: class=private, struct=public
- static/const modifier detection
Ruby (6 tests):
- attr_accessor multi-symbol: :name, :email, :age → 3 fields
- attr_reader=readonly, attr_writer=non-readonly
- Multiple attr_* calls in one class
Total: 46 tests passing
* chore: remove plan doc from PR
---------
Co-authored-by: Gergo Magyar <gergomagyar@icloud.com>
10 KiB
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, Codex, Windsurf, Cline, OpenCode, and any MCP-compatible tool.
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 | — | MCP + Skills |
| 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:
- Structure — Walks the file tree and maps folder/file relationships
- Parsing — Extracts functions, classes, methods, and interfaces using Tree-sitter ASTs
- 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
- Field & Property Type Resolution — Tracks field types across classes and interfaces for deep chain resolution (e.g.,
- Clustering — Groups related symbols into functional communities
- Processes — Traces execution flows from entry points through call chains
- 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
repoparam 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 --force # Force full re-index
gitnexus analyze --embeddings # Enable embedding generation (slower, better search)
gitnexus analyze --verbose # Log skipped files when parsers are unavailable
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)
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)
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
Free for non-commercial use. Contact for commercial licensing.