Teams are narrowing in on skills as the standard for providing domain knowledge to agents. Here's how we've revamped skills in Deep Agents to meet growing demand!
@langchain
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LangChain Academy explainer on agent skills and context windows
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What is an agent skill? (Or how to protect your agent’s context window)
— LangChain (@LangChain) 7 octobre 2026
A 2 minute explainer from LangChain Academy.
🎓 Take our course on Deep Agents: https://t.co/w31FYeC83T pic.twitter.com/CoiGz3cQeBWhat is an agent skill? (Or how to protect your agent’s context window) A 2 minute explainer from LangChain Academy. 🎓 Take our course on Deep Agents: https://
academy.langchain.com/courses/founda
tion-introduction-to-deepagents
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LangSmith Engine v2 for red-teaming and improving AI agents
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✅ Red team your agents
— LangChain (@LangChain) 7 octobre 2026
✅ Detect more issue types
✅ Automatically test proposed fixes@bentannyhill on everything new in LangSmith Engine v2 and how we approach agent improvement.
Watch the full Interrupt NYC Session: https://t.co/ILe8PjTXlA pic.twitter.com/X68vjRsg9F✅ Red team your agents ✅ Detect more issue types ✅ Automatically test proposed fixes @bentannyhill on everything new in LangSmith Engine v2 and how we approach agent improvement. Watch the full Interrupt NYC Session: https://
youtu.be/S3l7U7gOsyY -
Deep Agents explained in 90 seconds
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Deep Agents explained in 90 seconds. pic.twitter.com/bNbQ6f2p2l
— LangChain (@LangChain) 6 octobre 2026Deep Agents explained in 90 seconds.
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LangChain Academy course on building long-running agents
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Learn to build long-running agents for complex workflows with Deep Agents: 🎓 Take our LangChain Academy Course today.
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Building a model router into the harness
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New vid from @sydneyrunkle on how to build a model router into the harness:
— LangChain (@LangChain) 6 octobre 2026
1️⃣ Understand the tasks
2️⃣ Understand the models
3️⃣ Build the router in the harness
4️⃣ Track task outcomes https://t.co/bwt2fOn2CoNew vid from @sydneyrunkle on how to build a model router into the harness: 1️⃣ Understand the tasks
2️⃣ Understand the models
3️⃣ Build the router in the harness
4️⃣ Track task outcomes -
Agentic operating model for enterprise AI agent teams
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The agentic operating model helps enterprise teams understand questions like:
✅ Who owns agent development and operations?
✅ What should be standardized across teams?
✅ Where should governance and controls live?
✅ How do teams share infrastructure without slowing down -
Web search added to Managed Deep Agents for free
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Add web search to your Managed Deep Agents for free.
— LangChain (@LangChain) 6 octobre 2026
🌐 Powered by @p0
💻 No separate vendor accounts, managing extra PI keys, or wiring search tools necessary
A quick demo from @ndrezn pic.twitter.com/7LWXh7dc3IAdd web search to your Managed Deep Agents for free. 🌐 Powered by @p0 💻 No separate vendor accounts, managing extra PI keys, or wiring search tools necessary A quick demo from @ndrezn
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Rippling AI built on deep agents and LangSmith
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@Rippling AI: Built On Deep Agents + LangSmith The architecture: ✅ A supervisor agent coordinating 5 to 7 specialized subagents
✅ Tracing, evaluations, and production monitoring handled by LangSmith -
Ziphq rebuilt its chatbot agent on LangGraph and LangSmith
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Adding a new feature to @theziphq's agent used to take weeks. Their team would have to hand-build the code for LLM calls, storage & context.
— LangChain (@LangChain) 5 octobre 2026
They rebuilt their chatbot on LangGraph + LangSmith, and every trace was there without them writing a single line of code.
Full story ⤵️ pic.twitter.com/2dvmGkdk2TAdding a new feature to @theziphq
's agent used to take weeks. Their team would have to hand-build the code for LLM calls, storage & context. They rebuilt their chatbot on LangGraph + LangSmith, and every trace was there without them writing a single line of code. Full story ⤵️