CodeGuardian AI Documentation
Revolutionary Multi-Agent Security Platform
Welcome to the Future of Automated Security
CodeGuardian AI represents a paradigm shift in automated security auditing. Our revolutionary multi-agent architecture processes unlimited files of any type with enterprise-grade accuracy and compliance standards.
Unlimited Processing
Any file type, any size, with adaptive intelligence
AI-Powered Agents
6 specialized agents working in harmony
Enterprise Ready
SARIF, CycloneDX, GitHub integration
Platform Architecture
Multi-Agent Orchestration
CodeGuardian AI employs a revolutionary multi-agent architecture inspired by LangGraph orchestration patterns. Each agent specializes in specific security domains while collaborating through intelligent coordination.
Core Agents
Processing Engines
Quick Examples
Basic File Upload
// Upload and analyze a file
const result = await codeGuardian.uploadFile(file, {
engines: ['security', 'dependency', 'secrets'],
format: 'sarif',
webhook: 'https://api.example.com/results'
});Unlimited Processing
// Process unlimited files
const processor = new UniversalProcessor({
maxConcurrency: 8,
chunkSize: '64MB',
enableResume: true
});
await processor.processFiles(fileList);Key Features & Capabilities
Multi-Agent System
Revolutionary AI-powered agent architecture that mimics human security teams. Each agent has specialized knowledge and tools, working collaboratively to deliver comprehensive security analysis.
Agent Collaboration
- • Cross-agent context sharing and memory
- • Dynamic task delegation based on workload
- • Verification loops for accuracy improvement
- • Adaptive optimization based on results
Research-Backed Accuracy
- • 78% precision rate (RepoAudit study)
- • 75% reduction in false positives
- • $2.54 average cost per project audit
- • 0.44 hours average processing time
Unlimited File Processing
Process files of any size and any type with our revolutionary Universal Processor. No more preprocessing, size limits, or format restrictions.
Universal Support
Archives, binaries, documents, media, databases, containers
Streaming Upload
Chunked upload with resume capability for massive files
Adaptive Memory
Dynamic resource allocation and memory management
Integration Examples
GitHub Actions Integration
name: CodeGuardian Security Scan
on: [push, pull_request]
jobs:
security-scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: CodeGuardian Scan
uses: lovelogicai/codeguardian-action@v1
with:
api-key: ${{ secrets.CODEGUARDIAN_API_KEY }}
upload-sarif: true
webhook-url: ${{ secrets.WEBHOOK_URL }}REST API Usage
curl -X POST https://api.codeguardian.lovelogicai.com/v1/scan \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: multipart/form-data" \
-F "file=@./codebase.tar.gz" \
-F "engines=security,dependency,secrets" \
-F "format=sarif" \
-F "webhook=https://your-webhook-url.com/results"