LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...
We explore the challenges developers face with multi-agent orchestration and the strategies they use to overcome them.
The move from co-pilots that answer questions to agents that plan work, call tools and more creates both opportunities for ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...
I recently spoke with Chi Wang, a principal researcher at Microsoft and the creator of AutoGen, about the immense potential of multi-agent AI. Agents have been a cornerstone of human-computer ...
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Multi-agent AI flaw is information loss, not agent quality: NUS system fixes it with code
Multi-agent AI systems lose performance not because agents are weak, but because information evaporates at each handoff. NUS ...
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A new framework teaches AI models to audit and repair each other’s reasoning, improving accuracy
Standard multi-agent pipelines break down when complex problems cannot be divided into subtasks in advance. Self-Organizing Agent Teams (SAT) solve this by learning reusable collaboration strategies ...
OpenClaw remains one of the most powerful open source autonomous AI agent frameworks in 2026. It supports messaging integrations, plugin ecosystems, background agents, and tool execution across ...
We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...
What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...
The introduction of ChatGPT has brought large language models (LLMs) into widespread use across both tech and non-tech industries. This popularity is primarily due to two factors: LLMs as a knowledge ...
Threat actors are increasingly switching from AI-powered coding assistants to multi-agent frameworks that automate every stage of an attack. Drawing on telemetry from Mandiant's incident response ...
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