LangChain to Host Workshop on Building Deep Agents for Long-Running Tasks
The workshop frames agent reliability as an engineering problem of harness design rather than model choice, a distinction that shapes how teams should budget effort when building agents. Practitioners in Singapore and across APAC can pick the APAC + ANZ session time instead of staying up for the EMEA slot. Registration links are live on the LangChain events page.
LangChain announced a virtual workshop on what separates simple agents from those that reliably handle complex, long-running tasks.
The session focuses on the harness around the model: planning, context management, tool use, and breaking work into smaller steps.
Attendees will get a practical look at how Deep Agents are built.Registration is open through events.
langchain.com with separate sessions for EMEA and APAC + ANZ regions.
What separates a simple agent from one that can reliably work through complex, long-running tasks? It comes down to the harness around the model: how the agent plans, manages context, uses tools, and breaks work into smaller steps. In our upcoming virtual workshop, we’ll walk through these patterns and give you a practical look at how Deep Agents are built. Choose the session that works best for your region: 🌍 EMEA: events.langchain.com/register/emea-… L 🌏 APAC + ANZ events.langchain.com/register/apac-… Cw📊 2 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include LangChain, Deep Agents, agents, workshop.
Source attribution: curated from LangChain (@LangChainAI).
