Tag
8 articles
Learn to build autonomous AI agents that can coordinate without predefined roles, inspired by Gemini 4 Argon agents that beat Minecraft. This tutorial teaches agent communication, decision-making, and autonomous behavior using Google's Gemini API.
Learn to build a basic multi-agent system that demonstrates how malicious prompts can spread between AI agents, showing the security risks in communication protocols like MCP.
Multi-agent AI systems are revolutionizing supply chain execution by automating decision-making processes, moving away from traditional static dashboards and human approvals. These systems enable real-time adjustments and operational efficiency, signaling a broader shift toward AI-driven autonomy in enterprise operations.
Learn to build a multi-agent orchestration system that routes tasks to specialized AI models based on complexity and cost efficiency, similar to Sakana AI's Fugu Max and Fugu Ultra v2 models.
Learn to build a basic multi-agent system that can collaborate to solve complex problems over time, similar to OpenAI's rumored Astra model.
Sakana AI introduces Fugu, a multi-agent orchestration platform designed to reduce enterprise dependency on single AI vendors and mitigate risks associated with vendor lock-in.
Learn how multi-agent AI systems work using the CAMEL framework, and how teams of specialized AI agents can solve complex tasks together.
Learn to build a production-grade multi-agent communication system using LangGraph, Pydantic, and structured messaging patterns with ACP-style protocols.
