AI-powered dependency vulnerability analysis and supply chain security platform. Analyzes your project's entire dependency graph (SBOM) to flag vulnerabilities, supply-chain risks, and generate minimal patch plans.

Won 1st Place Overall + 2nd Place Modal Prize at the AI Agent & Infra Hackathon (by Lux Capital, Modal, Cognition, AWS, and Ramp)

Demo video link: https://youtu.be/eLHv1lriGms
Devpost link: https://devpost.com/software/code-canary

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend      │    │   Backend       │    │   Modal/Mock    │
│  (Next.js)      │───▶│  API Routes     │───▶│   Services      │
│                 │    │                 │    │                 │
│ • Upload Form   │    │ • /api/scan     │    │ • SBOM Extract  │
│ • Results View  │    │ • /api/enrich   │    │ • Vuln Enrich   │
│ • Dep Graph     │    │ • /api/ask      │    │ • Multi-lang    │
│ • Q&A Panel     │    │ • /api/report   │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
                                │
                                ▼
                       ┌─────────────────┐
                       │   AI Agent      │
                       │                 │
                       │ • RAG Pipeline  │
                       │ • Vector Store  │
                       │ • LLM Reasoning │
                       │ • Patch Plans   │
                       └─────────────────┘

dependency-canary/
├── apps/
│   ├── web/                 # Next.js frontend (port 3000)
│   └── api/                 # API backend (port 3001)
├── packages/
│   ├── shared/              # TypeScript types & API clients
│   └── agent/               # RAG agent & vector processing
└── README.md

• Node.js 18+
• pnpm 8+
• Optional: OpenAI API key for production embeddings

# Clone the repository
git clone <your-repo-url>
cd dependency-canary

# Install all dependencies
pnpm install

# Build shared packages
pnpm -r build

# Seed the system with mock data
pnpm seed:mock

# Start both frontend and API in development mode
pnpm dev

# Or start individually:
pnpm --filter @dependency-canary/web dev     # Frontend: http://localhost:3000
pnpm --filter @dependency-canary/api dev     # API: http://localhost:3001

Create .env.local files in both apps/web and apps/api:

# Optional: Real Modal endpoints
MODAL_BASE_URL=https://your-modal-deployment.com

# Optional: OpenAI for embeddings (defaults to mock)
OPENAI_API_KEY=sk-...

# Optional: Vector store configuration
VECTOR_STORE_TYPE=memory|sqlite|pinecone
SQLITE_DB_PATH=./vector-store.db
PINECONE_API_KEY=...
PINECONE_INDEX=...

Default Behavior (No Env Vars):

• Uses mock Modal client with realistic test data
• Uses mock embedder with deterministic vectors
• Uses in-memory vector store

Navigate to http://localhost:3000 and either:

• Enter a GitHub repository URL
• Upload a ZIP file URL
• Specify a container image

The system will:

• Generate SBOM (Software Bill of Materials)
• Enrich with CVE data from NVD, OSV, GHSA
• Analyze supply chain risks
• Index into vector database

• KPI Dashboard: View vulnerability counts, risk scores
• Dependency Graph: Interactive visualization with severity color-coding
• AI Q&A: Ask natural language questions about vulnerabilities
• Remediation Plans: Get prioritized upgrade recommendations

Download comprehensive PDF or Markdown reports with:

• Executive summary
• Detailed vulnerability analysis
• Remediation roadmap
• Package inventory

Try asking these questions in the Q&A panel:

• "What single upgrade removes the most critical CVEs?"
• "Which packages pose the highest supply chain risk?"
• "What are the most dangerous vulnerabilities in my direct dependencies?"
• "How can I reduce my attack surface with minimal changes?"
• "What abandoned packages should I replace first?"
• "Which vulnerabilities have public exploits available?"

# Run all tests
pnpm test

# Run smoke tests specifically
pnpm --filter @dependency-canary/agent test

# Test with verbose output
pnpm test -- --reporter=verbose

• ✅ Mock SBOM generation with realistic vulnerabilities
• ✅ Vector store operations and filtering
• ✅ Agent Q&A functionality with remediation plans
• ✅ End-to-end workflow validation
• ✅ Embedding consistency and document processing

The mock service provides a realistic test dataset with:

• 8 packages across npm, PyPI ecosystems
• 5 vulnerabilities (1 Critical, 2 High, 2 Medium)
• 3 services (web, api, worker)
• Supply chain risks (prototype pollution, SSRF, ReDoS)

Key test packages:

• [email protected] - Critical SSRF vulnerability (CVE-2021-3749)
• [email protected] - Prototype pollution (CVE-2020-8203)
• [email protected] - ReDoS vulnerability (CVE-2021-33503)

// packages/agent/src/vector-stores/custom-store.ts
import { VectorStore, VectorDocument, VectorSearchResult } from '@dependency-canary/shared';

export class CustomVectorStore implements VectorStore {
  async addDocuments(documents: VectorDocument[]): Promise<void> {
    // Implementation
  }
  
  async search(query: VectorStoreQuery): Promise<VectorSearchResult[]> {
    // Implementation
  }
  
  async clear(): Promise<void> {
    // Implementation
  }
}

// packages/agent/src/embedders/custom-embedder.ts
import { Embedder } from '@dependency-canary/shared';

export class CustomEmbedder implements Embedder {
  async embed(text: string): Promise<number[]> {
    // Implementation
  }
  
  async embedBatch(texts: string[]): Promise<number[][]> {
    // Implementation
  }
}

// Scan endpoint
POST /api/scan
Body: { projectRef: string, refType: "git"|"zip"|"image", ref: string }
Response: { jobId: string }

// Enrich endpoint  
GET /api/enrich?jobId=<jobId>
Response: EnrichedSBOM (see types/sbom.ts)

// Ask the AI agent
POST /api/ask
Body: { projectId: string, question: string }
Response: AgentAnswer (see types/api.ts)

// Generate reports
GET /api/report?projectId=<id>&format=pdf|markdown
Response: PDF blob or Markdown text

• Vector Store: In-memory store for dev, SQLite/Pinecone for production
• Embeddings: ~1500 dimensions, cached per document
• Agent Reasoning: Context-aware RAG with metadata filtering
• Report Generation: Server-side PDF rendering with Puppeteer

• Never logs or commits API keys
• Sanitizes user inputs in search queries
• Validates SBOM schemas before processing
• Uses read-only vector operations in agent reasoning

# Production build
pnpm build

# Set production environment variables
export MODAL_BASE_URL=https://your-modal-deployment.com
export OPENAI_API_KEY=sk-...
export VECTOR_STORE_TYPE=sqlite
export SQLITE_DB_PATH=/data/vector-store.db

# Start production servers
pnpm --filter @dependency-canary/web start
pnpm --filter @dependency-canary/api start

FROM node:18-alpine
WORKDIR /app
COPY . .
RUN corepack enable pnpm && pnpm install --frozen-lockfile
RUN pnpm build
CMD ["pnpm", "dev"]

When your teammate's Modal services are ready:

1. Set MODAL_BASE_URL environment variable
2. The system automatically switches from mock to real client
3. No code changes needed - interface is identical

The Modal services should implement:

• POST /scan → { jobId }
• GET /enrich?jobId=... → EnrichedSBOM

• WebSocket support for real-time scan progress
• GitHub Actions integration for CI/CD scanning
• SARIF output format support
• Multi-project comparison views
• Slack/Teams notifications for critical findings
• Custom risk scoring models
• Integration with dependency management tools

"No SBOM available" error:

• Ensure you've run pnpm seed:mock
• Check that both web and API servers are running

Vector store errors:

• Clear data: rm -rf *.db and re-run seed script
• Check filesystem permissions for SQLite

PDF generation fails:

• Install system dependencies: apt-get install -y chromium-browser
• For Docker: use puppeteer/puppeteer:latest base image

Empty dependency graph:

• Verify service filter selection
• Check browser console for JavaScript errors

1. Start: pnpm dev (both apps running)
2. Seed: pnpm seed:mock (populate with test data)
3. Upload: Visit localhost:3000, paste https://github.com/mock/repo
4. Scan: Click "Start Security Scan" (uses mock data)
5. Explore: View KPIs, interact with dependency graph
6. Ask: "What single upgrade removes the most critical CVEs?"
7. Report: Download PDF with full analysis
8. Test: Run pnpm test to validate all components

Built with ❤️ for supply chain security. Questions? Check the code or run the smoke tests!