bgauryy

Security Audit Report: claude-agent-server

Repository: https://github.com/dzhng/claude-agent-server
Audit Date: November 20, 2025
Auditor: Security Review via Octocode
Severity Scale: Critical > High > Medium > Low

Executive Summary

Comprehensive Agentic AI Learning Path & Research

React Advanced Concepts: Deep Dive Research

This document provides an in-depth analysis of advanced React concepts based on research from the official React repository (facebook/react).

Claude Code Internal Tools - Technical Reference

Complete technical documentation of Claude Code's internal tools

This document provides comprehensive technical details about Claude Code's internal tools, including parameter schemas, implementation behaviors, and usage patterns.

Claude Sonnet 4.5

Technical Details:

Next.js Server Components Architecture

Deep Dive Analysis: Complete flow from routing to rendering

Source: Next.js repository (vercel/next.js)
Analysis Date: October 15, 2025

Deep Agents Planning Document

Building Next-Generation Multi-Agent AI Systems

🎯 Executive Summary

This document outlines the comprehensive planning approach for building Deep Agents - sophisticated multi-agent AI systems that combine planning, specialized sub-agents, persistent memory, and coordinated intelligence to solve complex, real-world problems.

Key Innovation: Moving from simple tool-using chatbots to autonomous, collaborative agent ecosystems that can handle enterprise-level tasks with human-like planning and execution capabilities.

Deep Agents Context Document

Technical Architecture and Implementation Guide

🔍 Concrete Example: Company Research Agent

Based on the research conducted using Octocode MCP, here's a real-world example of Deep Agents in action:

	import { encode as toonEncoder } from '@byjohann/toon'
	import { createByEncoderName } from '@microsoft/tiktokenizer'
	import { stringify } from 'csv-stringify/sync'
	import { writeFileSync, mkdirSync } from 'fs'
	import { join } from 'path'

	// Helper function to convert data to CSV format
	function dataToCSV(data) {
	// Handle arrays of objects (most common CSV case)
	if (Array.isArray(data)) {

	# AI Agent Chat Application - Implementation Plan

	## Research Summary

	### Repositories Analyzed
	- langchain-ai/langgraphjs-gen-ui-examples (347⭐) - LangGraph.js agent examples
	- assistant-ui/assistant-ui (6,896⭐) - TypeScript/React AI chat UI library
	- FlowiseAI/Flowise (46,168⭐) - Visual AI agent builder with LangChain
	- CopilotKit/CopilotKit (24,685⭐) - React UI + infrastructure for AI agents

	import { encode as toonEncoder } from '@byjohann/toon'
	import { createByEncoderName } from '@microsoft/tiktokenizer'
	import { writeFileSync, mkdirSync } from 'fs'
	import { join } from 'path'

	async function main() {
	const data = {};

	// Generate large dataset programmatically
	const emails = ['john.doe', 'jane.smith', 'bob.wilson', 'alice.johnson', 'charlie.brown', 'david.miller', 'emma.davis', 'frank.garcia', 'grace.martinez', 'henry.rodriguez'];

bgauryy

Security Audit Report: claude-agent-server

Executive Summary

Comprehensive Agentic AI Learning Path & Research

Table of Contents

React Advanced Concepts: Deep Dive Research

Table of Contents

Claude Code Internal Tools - Technical Reference

Claude Sonnet 4.5

Next.js Server Components Architecture

Table of Contents

Deep Agents Planning Document

Building Next-Generation Multi-Agent AI Systems

🎯 Executive Summary

Deep Agents Context Document

Technical Architecture and Implementation Guide

🔍 Concrete Example: Company Research Agent

Guy Hartstein's Company Research Agent