Scaling AI Beyond Single Agents: Multi-Agent Architectures with LangChain @Datasciencedojo
Scaling AI Beyond Single Agents: Multi-Agent Architectures with LangChain  @Datasciencedojo
Uploaded February 2026 | Updated September 2026, 2 weeks ago
As AI applications grow more complex, single-agent models often struggle with context and reliability. Multi-agent architectures address this by distributing tasks across specialized agents.

In this session, youโ€™ll learn how to design scalable multi-agent systems using LangChain, explore key patterns like subagents, skills, handoffs, and routers, and see a live demo of orchestrating agent workflows beyond simple prototypes.

What youโ€™ll learn:

- When and why to use multi-agent architectures
- Key LangChain design patterns and trade-offs
- How to orchestrate agent skills and manage context
- Practical guidance for building production-ready systems

Perfect for practitioners looking to move beyond single-agent AI and build robust, scalable solutions.

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Scaling AI Beyond Single Agents: Multi-Agent Architectures with LangChain

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