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Multi-Agent3 articles

Multi-Agent

Articles

  • Multi-Agent Orchestration Frameworks in Production: Comparing LangGraph, AutoGen, CrewAI, and LlamaIndex Workflows

    Deploying autonomous multi-agent systems to production exposes the fundamental limitations of single-turn prompting and linear DAG chains. Real-world agent workflows require cyclical execution, durable state persistence across hours or days, reliable human-in-the-loop interrupts, and fault-tolerant error recovery. Four primary frameworks have emerged as the leading orchestration layers in 2026: LangGraph, Microsoft AutoGen, CrewAI, and LlamaIndex Workflows. While each framework enables multi-ag

    1 min

  • Multi-Agent Debate and Consensus Protocols in Production: Topologies, Stopping Criteria, and Error Cascade Prevention

    Single-model inference pipelines face severe structural limits when handling high-stakes reasoning, multi-step code synthesis, and mission-critical verification. While techniques like self-consistency decoding sample multiple independent trajectories from a single model to find majority consensus, they fail when the underlying model exhibits systemic bias or correlated hallucinations. When an LLM harbors a flawed premise, sampling ten independent stochastic paths frequently yields ten variations

    1 min

  • Mind Viruses: Researchers Demonstrate Self-Propagating Prompts in Multi-Agent LLM Networks

    Researchers affiliated with Anthropic, EPFL, and Carnegie Mellon University have published empirical findings demonstrating how natural-language instructions can act as self-replicating payloads across multi-agent Large Language Model (LLM) networks. The paper, titled Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems, examines how autonomous agents can be persuaded to adopt and transmit goals to other agents through standard conversational interfaces rather than binary exploit code

    1 min