#multi-agent

Masa Depan AI Google 2026: Gimana Sistem ‘Multi-Agent’ Bakal Urusin Hidup Lo Tanpa Ribet Sekarang ini, coba pikir deh — lo punya AI paling canggih di smartphone, tapi tetap aja harus buka Gojek buat pesan makanan. Atau harus browsing sana-sini cuma buat cari restoran yang cocok buat dinner date. Ironis, kan?AI yang seharusnya “pintar” justru cuma jadi mesin balas chat yang caro ngasih jawaban…

Part 7 of the Microsoft Agent Framework Series Complex problems often require specialized expertise working together. Just as human teams have different roles, multi-agent systems combine specialized agents to tackle challenges no single agent could handle alone. Microsoft Agent Framework provides built-in orchestration patterns for coordinating multiple agents. Let’s explore each pattern and…

Building Multi-Agent Workflows: Advanced LangGraph Patterns is a critical topic for building production AI applications. This comprehensive guide covers essential concepts, implementation patterns, and best practices based on real-world experience. What You’ll Learn Core concepts and architectural patterns Step-by-step implementation guide Production best practices Performance optimization…

Everything we’ve covered so far—calling LLMs, building RAG systems, using frameworks—follows a pattern: human asks, AI responds. One turn, done. Agentic AI breaks that pattern. Instead of responding once, agents can plan multi-step approaches, use tools, reflect on their progress, and autonomously work toward goals. This is the frontier of practical AI in 2025. I’ll be honest: this space is…

Imagine coordinating multiple robots or vehicles navigating complex environments! This article explores Multi-Agent Path Finding (MAPF) – the challenge of finding paths for groups of agents without collisions. It details sampling-based algorithms like RRT and how they create smooth, adaptable solutions for continuous environments. Multi-agent path finding describes a problem where we have a group…