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MultiAgent

  • AI News

    A coding implementation to build a hierarchical planner AI agent using open-source LLM with tool execution and structured multi-agent reasoning

    by February 28, 2026
    February 28, 2026

    def executor_agent(step: Dict(str, Any), context: Dict(str, Any)) -> StepResult: step_id = int(step.get(“id”, 0)) title = step.get(“title”, f”Step {step_id}”) tool = step.get(“tool”, “llm”) ctx_compact = { “goal”: context.get(“goal”), “assumptions”: context.get(“assumptions”, ()), …

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  • Generative AI

    Composio open source agent orchestrator will help AI developers build scalable multi-agent workflows beyond traditional React loops

    by February 24, 2026
    February 24, 2026

    Over the past year, AI developers have relied on the React (Reasoning + Acting) pattern – a simple loop where an AI thinks, chooses a tool, and executes. But as …

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  • Machine Learning

    Reducing Batch Release from 14 Days to 3 Days: A Case Study in Multi-Agent AI for Pharmaceutical Manufacturing

    by February 21, 2026
    February 21, 2026

    Last updated on February 21, 2026 by Editorial Team Author(s): Saif Ali Kheraj Originally published on Towards AI. How agentic AI architectures can compress decision cycles in regulated manufacturing with …

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  • Machine Learning

    Agent-to-Agent Collaboration: Using Amazon Nova 2 Lite and Amazon Nova Act for Multi-Agent Systems

    by February 10, 2026
    February 10, 2026

    My first attempt at building a travel planning agent looked exactly like the initial prototype: a large model, a few tools, and a long system prompt. This worked well until …

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  • AI Basics

    Designing Effective Multi-Agent Architectures – O’Reilly

    by February 9, 2026
    February 9, 2026

    Papers on agentic and multi-agent systems (MAS) increased from 820 in 2024 to more than 2,500 in 2025. This surge shows that MAS is now a primary focus for the …

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  • Machine Learning

    Scaling content review operations with multi-agent workflow

    by January 29, 2026
    January 29, 2026

    Enterprises are managing increasing amounts of content, from product catalogs and support articles to knowledge bases and technical documentation. Ensuring that this information remains accurate, relevant and aligned with the …

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  • AI News

    How a Haystack-powered multi-agent system detects incidents, examines metrics and logs, and produces production-grade incident reviews end-to-end

    by January 27, 2026
    January 27, 2026

    @tool def sql_investigate(query: str) -> dict: try: df = con.execute(query).df() head = df.head(30) return { “rows”: int(len(df)), “columns”: list(df.columns), “preview”: head.to_dict(orient=”records”) } except Exception as e: return {“error”: str(e)} @tool …

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  • Generative AI

    LLM and AI Agent Applications with Langchain and Langgraph – Part 28: Multi-Agent Discussion Panel (Researchers, Experts, Critics, Moderators)

    by January 5, 2026
    January 5, 2026

    Author(s): michaelczarnecki Originally published on Towards AI. hello. In this part I will present a multi-agent applicationsThis will be a discussion panel with four roles: researcher – Has access to …

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  • AI Tools

    A coding guide to designing and orchestrating advanced React-based multi-agent workflows with AgentScope and OpenAI

    by January 5, 2026
    January 5, 2026

    In this tutorial, we build an advanced multi-agent incident response system using agentscopeWe orchestrate multiple React agents, each with a clearly defined role such as routing, triage, analysis, writing, and …

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  • AI News

    How to build a production-ready multi-agent incident response system using OpenAI Swarm and tool-augmented agents

    by January 3, 2026
    January 3, 2026

    In this tutorial, we use OpenAI Swarm to build an advanced but practical multi-agent system that runs in Colab. We demonstrate how we can organize specialized agents such as triage …

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