Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.
Project description
Synaptiq
Graph-powered code intelligence engine — indexes your codebase into a knowledge graph and exposes it via MCP tools for AI agents and a CLI for developers.
synaptiq analyze .
Phase 1: Walking files... 142 files found
Phase 3: Parsing code... 142/142
Phase 5: Tracing calls... 847 calls resolved
Phase 7: Analyzing types... 234 type relationships
Phase 8: Detecting communities... 8 clusters found
Phase 9: Detecting execution flows... 34 processes found
Phase 10: Finding dead code... 12 unreachable symbols
Phase 11: Analyzing git history... 18 coupled file pairs
Done in 4.2s — 623 symbols, 1,847 edges, 8 clusters, 34 flows
Most code intelligence tools treat your codebase as flat text. Synaptiq builds a structural graph — every function, class, import, call, type reference, and execution flow becomes a node or edge in a queryable knowledge graph. AI agents using Synaptiq don't just search for keywords; they understand how your code is connected.
Why Synaptiq?
For AI agents (Claude Code, Cursor):
- "What breaks if I change this function?" → blast radius via call graph + type references + git coupling
- "What code is never called?" → dead code detection with framework-aware exemptions
- "Show me the login flow end-to-end" → execution flow tracing from entry points through the call graph
- "Which files always change together?" → git history change coupling analysis
For developers:
- Instant answers to architectural questions without grepping through files
- Find dead code, tightly coupled files, and execution flows automatically
- Raw Cypher queries against your codebase's knowledge graph
- Watch mode that re-indexes on every save
Zero cloud dependencies. Everything runs locally — parsing, graph storage, embeddings, search. No API keys, no data leaving your machine.
Features
11-Phase Analysis Pipeline
Synaptiq doesn't just parse your code — it builds a deep structural understanding through 11 sequential analysis phases:
| Phase | What It Does |
|---|---|
| File Walking | Walks repo respecting .gitignore, filters by supported languages |
| Structure | Creates File/Folder hierarchy with CONTAINS relationships |
| Parsing | tree-sitter AST extraction — functions, classes, methods, interfaces, enums, type aliases |
| Import Resolution | Resolves import statements to actual files (relative, absolute, bare specifiers) |
| Call Tracing | Maps function calls with confidence scores (1.0 = exact match, 0.5 = fuzzy) |
| Heritage | Tracks class inheritance (EXTENDS) and interface implementation (IMPLEMENTS) |
| Type Analysis | Extracts type references from parameters, return types, and variable annotations |
| Community Detection | Leiden algorithm clusters related symbols into functional communities |
| Process Detection | Framework-aware entry point detection + BFS flow tracing |
| Dead Code Detection | Multi-pass analysis with override, protocol, and decorator awareness |
| Change Coupling | Git history analysis — finds files that always change together |
Hybrid Search (BM25 + Vector + RRF)
Three search strategies fused with Reciprocal Rank Fusion:
- BM25 full-text search — fast exact name and keyword matching via KuzuDB FTS
- Semantic vector search — conceptual queries via 384-dim embeddings (BAAI/bge-small-en-v1.5)
- Fuzzy name search — Levenshtein fallback for typos and partial matches
Test files are automatically down-ranked (0.5x), source-level functions/classes boosted (1.2x).
Dead Code Detection
Finds unreachable symbols with intelligence — not just "zero callers" but a multi-pass analysis:
- Initial scan — flags functions/methods/classes with no incoming calls
- Exemptions — entry points, exports, constructors, test code, dunder methods,
__init__.pypublic symbols, decorated functions,@propertymethods - Override pass — un-flags methods that override non-dead base class methods (handles dynamic dispatch)
- Protocol conformance — un-flags methods on classes conforming to Protocol interfaces
- Protocol stubs — un-flags all methods on Protocol classes (interface contracts)
Impact Analysis (Blast Radius)
When you're about to change a symbol, Synaptiq traces upstream through:
- Call graph — every function that calls this one, recursively
- Type references — every function that takes, returns, or stores this type
- Git coupling — files that historically change alongside this one
Community Detection
Uses the Leiden algorithm (igraph + leidenalg) to automatically discover functional clusters in your codebase. Each community gets a cohesion score and auto-generated label based on member file paths.
Execution Flow Tracing
Detects entry points using framework-aware patterns:
- Python:
@app.route,@router.get,@click.command,test_*functions,__main__blocks - JavaScript/TypeScript: Express handlers, exported functions,
handler/middlewarepatterns
Then traces BFS execution flows from each entry point through the call graph, classifying flows as intra-community or cross-community.
Change Coupling (Git History)
Analyzes 6 months of git history to find hidden dependencies that static analysis misses:
coupling(A, B) = co_changes(A, B) / max(changes(A), changes(B))
Files with coupling strength ≥ 0.3 and 3+ co-changes get linked. Surfaces coupled files in impact analysis.
Watch Mode
Live re-indexing powered by a Rust-based file watcher (watchfiles):
$ synaptiq watch
Watching /Users/you/project for changes...
[10:32:15] src/auth/validate.py modified → re-indexed (0.3s)
[10:33:02] 2 files modified → re-indexed (0.5s)
- File-local phases (parse, imports, calls, types) run immediately on change
- Global phases (communities, processes, dead code) batch every 30 seconds
Multi-Instance Concurrency
Synaptiq supports multiple concurrent MCP sessions (e.g., swarm sub-agents) through a primary/proxy daemon architecture:
- Primary process: Owns the database, watcher, and socket server
- Proxy processes: Forward queries over Unix socket to primary
- Automatic role detection: Each instance self-detects its role at startup
Branch Comparison
Structural diff between branches using git worktrees (no stashing required):
$ synaptiq diff main..feature
Symbols added (4):
+ process_payment (Function) -- src/payments/stripe.py
+ PaymentIntent (Class) -- src/payments/models.py
Symbols modified (2):
~ checkout_handler (Function) -- src/routes/checkout.py
Symbols removed (1):
- old_charge (Function) -- src/payments/legacy.py
Supported Languages
| Language | Extensions | Parser |
|---|---|---|
| Python | .py |
tree-sitter-python |
| TypeScript | .ts, .tsx |
tree-sitter-typescript |
| JavaScript | .js, .jsx, .mjs, .cjs |
tree-sitter-javascript |
Installation
# With pip
pip install synaptiq
# With uv (recommended)
uv add synaptiq
# With Neo4j backend support
pip install synaptiq[neo4j]
Requires Python 3.11+.
From Source
git clone https://github.com/scanadi/synaptiq.git
cd synaptiq
uv sync --all-extras
uv run synaptiq --help
Quick Start
1. Index Your Codebase
cd your-project
synaptiq analyze .
2. Query It
# Search for symbols
synaptiq query "authentication handler"
# Get full context on a symbol
synaptiq context validate_user
# Check blast radius before changing something
synaptiq impact UserModel --depth 3
# Find dead code
synaptiq dead-code
# Run a raw Cypher query
synaptiq cypher "MATCH (n:Function) WHERE n.is_dead = true RETURN n.name, n.file_path"
3. Keep It Updated
# Watch mode — re-indexes on every save
synaptiq watch
# Or re-analyze manually
synaptiq analyze .
CLI Reference
synaptiq analyze [PATH] Index a repository (default: current directory)
--full Force full rebuild (skip incremental)
synaptiq status Show index status for current repo
synaptiq list List all indexed repositories
synaptiq clean Delete index for current repo
--force / -f Skip confirmation prompt
synaptiq query QUERY Hybrid search the knowledge graph
--limit / -n N Max results (default: 20)
synaptiq context SYMBOL 360-degree view of a symbol
synaptiq impact SYMBOL Blast radius analysis
--depth / -d N BFS traversal depth (default: 3)
synaptiq dead-code List all detected dead code
synaptiq cypher QUERY Execute a raw Cypher query (read-only)
synaptiq watch Watch mode — live re-indexing on file changes
synaptiq diff BASE..HEAD Structural branch comparison
synaptiq setup Print MCP configuration JSON
--claude For Claude Code
--cursor For Cursor
synaptiq mcp Start the MCP server (stdio transport)
synaptiq serve Start the MCP server (same as synaptiq mcp)
--watch, -w Enable live file watching with auto-reindex
synaptiq --version Print version
MCP Integration
Synaptiq exposes its full intelligence as an MCP server, giving AI agents like Claude Code and Cursor deep structural understanding of your codebase.
Setup for Claude Code
Add to your .claude/settings.json or project .mcp.json:
{
"mcpServers": {
"synaptiq": {
"command": "synaptiq",
"args": ["serve", "--watch"]
}
}
}
This starts the MCP server with live file watching — the knowledge graph updates automatically as you edit code. To run without watching, use "args": ["mcp"] instead.
Or run the setup helper:
synaptiq setup --claude
Setup for Cursor
Add to your Cursor MCP settings:
{
"synaptiq": {
"command": "synaptiq",
"args": ["serve", "--watch"]
}
}
Or run:
synaptiq setup --cursor
MCP Tools
Once connected, your AI agent gets access to these tools:
| Tool | Description |
|---|---|
synaptiq_list_repos |
List all indexed repositories with stats |
synaptiq_query |
Hybrid search (BM25 + vector + fuzzy) across all symbols |
synaptiq_context |
360-degree view — callers, callees, type refs, community, processes |
synaptiq_impact |
Blast radius — all symbols affected by changing the target |
synaptiq_dead_code |
List all unreachable symbols grouped by file |
synaptiq_detect_changes |
Map a git diff to affected symbols in the graph |
synaptiq_cypher |
Execute read-only Cypher queries against the knowledge graph |
Every tool response includes a next-step hint guiding the agent through a natural investigation workflow:
query → "Next: Use context() on a specific symbol for the full picture."
context → "Next: Use impact() if planning changes to this symbol."
impact → "Tip: Review each affected symbol before making changes."
MCP Resources
| Resource URI | Description |
|---|---|
synaptiq://overview |
Node and relationship counts by type |
synaptiq://dead-code |
Full dead code report |
synaptiq://schema |
Graph schema reference for writing Cypher queries |
Knowledge Graph Model
Nodes
| Label | Description |
|---|---|
File |
Source file |
Folder |
Directory |
Function |
Top-level function |
Class |
Class definition |
Method |
Method within a class |
Interface |
Interface / Protocol definition |
TypeAlias |
Type alias |
Enum |
Enumeration |
Community |
Auto-detected functional cluster |
Process |
Detected execution flow |
Relationships
| Type | Description | Key Properties |
|---|---|---|
CONTAINS |
Folder → File/Symbol hierarchy | — |
DEFINES |
File → Symbol it defines | — |
CALLS |
Symbol → Symbol it calls | confidence (0.0–1.0) |
IMPORTS |
File → File it imports from | symbols (names list) |
EXTENDS |
Class → Class it extends | — |
IMPLEMENTS |
Class → Interface it implements | — |
USES_TYPE |
Symbol → Type it references | role (param/return/variable) |
EXPORTS |
File → Symbol it exports | — |
MEMBER_OF |
Symbol → Community it belongs to | — |
STEP_IN_PROCESS |
Symbol → Process it participates in | step_number |
COUPLED_WITH |
File → File that co-changes with it | strength, co_changes |
Node ID Format
{label}:{relative_path}:{symbol_name}
Examples:
function:src/auth/validate.py:validate_user
class:src/models/user.py:User
method:src/models/user.py:User.save
Architecture
Source Code (.py, .ts, .js, .tsx, .jsx)
│
▼
┌──────────────────────────────────────────────┐
│ Ingestion Pipeline (11 phases) │
│ │
│ walk → structure → parse → imports → calls │
│ → heritage → types → communities → processes │
│ → dead_code → coupling │
└──────────────────────┬───────────────────────┘
│
▼
┌─────────────────┐
│ KnowledgeGraph │ (in-memory during build)
└────────┬────────┘
│
┌────────────┼────────────┐
▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│ KuzuDB │ │ FTS │ │ Vector │
│ (graph) │ │ (BM25) │ │ (HNSW) │
└────┬────┘ └────┬────┘ └────┬────┘
└────────────┼────────────┘
│
StorageBackend Protocol
│
┌────────┴────────┐
▼ ▼
┌──────────┐ ┌──────────┐
│ MCP │ │ CLI │
│ Server │ │ (Typer) │
│ (stdio) │ │ │
└────┬─────┘ └────┬─────┘
│ │
Claude Code Terminal
/ Cursor (developer)
Tech Stack
| Layer | Technology | Purpose |
|---|---|---|
| Parsing | tree-sitter | Language-agnostic AST extraction |
| Graph Storage | KuzuDB | Embedded graph database with Cypher, FTS, and vector support |
| Graph Algorithms | igraph + leidenalg | Leiden community detection |
| Embeddings | fastembed | ONNX-based 384-dim vectors (~100MB, no PyTorch) |
| MCP Protocol | mcp SDK (FastMCP) | AI agent communication via stdio |
| CLI | Typer + Rich | Terminal interface with progress bars |
| File Watching | watchfiles | Rust-based file system watcher |
| Gitignore | pathspec | Full .gitignore pattern matching |
Storage
Everything lives locally in your repo:
your-project/
└── .synaptiq/
├── kuzu/ # KuzuDB graph database (graph + FTS + vectors)
└── meta.json # Index metadata and stats
Add .synaptiq/ to your .gitignore.
The storage layer is abstracted behind a StorageBackend Protocol — KuzuDB is the default, with an optional Neo4j backend available via pip install synaptiq[neo4j].
Example Workflows
"I need to refactor the User class — what breaks?"
# See everything connected to User
synaptiq context User
# Check blast radius
synaptiq impact User --depth 3
# Find which files always change with user.py
synaptiq cypher "MATCH (a:File)-[r:CodeRelation]->(b:File) WHERE a.name = 'user.py' AND r.rel_type = 'coupled_with' RETURN b.name, r.strength ORDER BY r.strength DESC"
"Is there dead code we should clean up?"
synaptiq dead-code
"What are the main execution flows in our app?"
synaptiq cypher "MATCH (p:Process) RETURN p.name, p.properties ORDER BY p.name"
"Which parts of the codebase are most tightly coupled?"
synaptiq cypher "MATCH (a:File)-[r:CodeRelation]->(b:File) WHERE r.rel_type = 'coupled_with' RETURN a.name, b.name, r.strength ORDER BY r.strength DESC LIMIT 20"
How It Compares
| Capability | grep/ripgrep | LSP | Synaptiq |
|---|---|---|---|
| Text search | Yes | No | Yes (hybrid BM25 + vector) |
| Go to definition | No | Yes | Yes (graph traversal) |
| Find all callers | No | Partial | Yes (full call graph with confidence) |
| Type relationships | No | Yes | Yes (param/return/variable roles) |
| Dead code detection | No | No | Yes (multi-pass, framework-aware) |
| Execution flow tracing | No | No | Yes (entry point → flow) |
| Community detection | No | No | Yes (Leiden algorithm) |
| Change coupling (git) | No | No | Yes (6-month co-change analysis) |
| Impact analysis | No | No | Yes (calls + types + git coupling) |
| AI agent integration | No | Partial | Yes (full MCP server) |
| Structural branch diff | No | No | Yes (node/edge level) |
| Watch mode | No | Yes | Yes (Rust-based, 500ms debounce) |
| Works offline | Yes | Yes | Yes |
Development
git clone https://github.com/scanadi/synaptiq.git
cd synaptiq
uv sync --all-extras
# Run tests
uv run pytest
# Lint
uv run ruff check src/
# Run from source
uv run synaptiq --help
See CONTRIBUTING.md for detailed contribution guidelines.
Acknowledgments
Synaptiq was originally inspired by and built upon axon by @harshkedia177. This project has since evolved into an independent codebase with its own architecture, features, and direction.
License
MIT — see LICENSE.
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