#multi-agent system

A deep dive into creating a logistics simulation with autonomous delivery trucks.

'DS STAR is a multi-agent Data Science Agent from Google that turns heterogeneous files into executable Python via iterative planning, coding and verification, significantly boosting benchmark accuracy.'

'Step-by-step example showing how Directory, Seller, and Buyer agents use uAgents to discover services, negotiate offers, and complete orders.'

'A practical tutorial demonstrating how to build local multi-agent AI workflows with AutoGen concepts, LangChain chains, and Hugging Face models, including full runnable code examples.'

'Sentient AI released ROMA, a recursive open meta-agent framework that decomposes tasks into a hierarchical traceable tree enabling parallel execution, human checkpoints, and structured tracing for debuggable agent workflows.'

'Step-by-step guide to create a hierarchical Supervisor Agent Framework using CrewAI and Google Gemini, with code examples for research, analysis, writing, and review agents.'

'Google's Personal Health Agent is a multi-agent framework that coordinates specialized sub-agents for data analysis, clinical reasoning and behavioral coaching to produce integrated, personalized health guidance.'

CoAct-1 introduces a hybrid approach combining GUI manipulation and direct coding to improve efficiency and reliability in autonomous computer operation, achieving a record 60.76% success rate on the OSWorld benchmark.

Learn to build a sophisticated multi-agent research pipeline using LangGraph and Google's Gemini AI that automates research, analysis, and report generation for actionable insights.

Explore building a scalable multi-agent system with Google ADK, featuring specialized agents for research, calculation, data analysis, and content creation using asynchronous workflows.

Walmart Global Tech introduces ARAG, a multi-agent AI framework that significantly improves personalized recommendations by incorporating deep semantic reasoning and context awareness.

A detailed tutorial on setting up a multi-agent AI pipeline with CrewAI and Google Gemini in Colab, featuring research, analysis, and content creation agents working together.

Discover how MLflow integrates with OpenAI Agents SDK to automatically log and trace multi-agent interactions and implement guardrails for safer AI responses.

Learn how to build an advanced multi-agent task automation system with Python, OpenAI API, and PrimisAI Nexus that coordinates agents for coding, analysis, and project planning.

OpenAI has open-sourced a multi-agent customer service demo showcasing how to build specialized AI agents using the Agents SDK, featuring safety guardrails and a transparent conversational interface.

Explore a detailed tutorial on building a multi-agent AI collaboration framework using Google Gemini models that enables specialized agents to analyze, critique, and synthesize solutions collaboratively.

This tutorial guides you through building a financial AI agent using Google ADK, integrating real-time financial data with Alpha Vantage API for company overviews and earnings analysis.