agentic AI
Learn to build a modular agentic AI system using a planner-tools-executor-summarizer architecture with FastAPI and OpenRouter. This technical guide walks through creating autonomous AI assistants with multi-step reasoning capabilities.
Voice AI
Learn how to architect voice AI assistants with autonomous reasoning capabilities, combining speech processing, LLM agents, and planning frameworks for intelligent multi-step responses.
AI Agents
Anthropic's Model Context Protocol (MCP) establishes a standardized infrastructure layer enabling AI agents to access external data and tools. This protocol architecture is transforming how AI systems interact with real-world applications and services.
agentic AI
LangGraph enables developers to orchestrate multiple AI agents as coordinated teams. This technical guide explores graph-based architectures, state management, and conditional routing for building sophisticated agentic systems in 2025.
agentic AI
Learn how to build ReAct (Reasoning and Acting) agents using LangGraph, exploring the architecture that enables AI systems to reason about tasks and execute actions autonomously through iterative cycles.
agentic AI
Comprehensive research paper examines security vulnerabilities in autonomous AI agents, detailing attack vectors, defense strategies, and evaluation methods for protecting agentic systems from adversarial threats.