Hats off to @Aditi and the team at @corridor for the release of Argos 1! 🎩 This is an awesome example of agent trajectories in LangSmith -> post-trained model in practice, with 𝚜𝚖𝚒𝚝𝚑𝚝𝚞𝚗𝚎 helping make it possible. They sft'd qwen3.5-9B and ended up with a model that
@langchain
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Argos Uses Trace Based Training Data for a Security Benchmark Leading Model
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@corridor used smithtune’s trace-based workflow to build the training data for Argos, a fine-tuned 9B model that scores the highest of the 14 models they tested on their security context benchmark. 🧵 Full thread ⤵️ -
Short Tutorial Explains Context Engineering
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Context Engineering explained in 5 minutes by @jess_weng18. pic.twitter.com/4dbzRwMDX0
— LangChain (@LangChain) 21 octobre 2026Context Engineering explained in 5 minutes by @jess_weng18
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LangChain Discusses Challenges Building Shared Enterprise Agent Harnesses
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How do you build a company harness? We've built internal agents at LangChain across marketing, sales, and engineering. The results have been incredible but these agents were NOT easy to get right. We spent a ton of time solving the problems that come with a multiplayer harness.
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LangChain Collects Managed Deep Agents Courses and Tutorials
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More Managed Deep Agents resources:
— LangChain (@LangChain) 20 octobre 2026
🎓 LangChain Academy Module: https://t.co/w31FYeC83T
💻 Managed Deep Agents 101: https://t.co/Cb8p5zaYas
⏯️ YouTube Tutorial playlist: https://t.co/y3hHQDfSs9 https://t.co/krG2WAcnflMore Managed Deep Agents resources: 🎓 LangChain Academy Module: https://
academy.langchain.com/courses/founda
tion-introduction-to-deepagents
… 💻 Managed Deep Agents 101: https://
events.langchain.com/on-demand/f61a
1237-3a14-4ff9-9c95-6338fbece13c
… ⏯️ YouTube Tutorial playlist: https://
youtube.com/watch?v=xdrB53
bgpp0&list=PLKYx7JmJ_IcA
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LangChain Explains Managed Deep Agents and How to Get Started
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What is a Managed Deep Agent?
— LangChain (@LangChain) 20 octobre 2026
How does it differ from a Deep Agent?
How do you get started?@jess_weng18 from the LangChain Academy team answers all of these questions in 2 minutes pic.twitter.com/0jlvHHnBKYWhat is a Managed Deep Agent? How does it differ from a Deep Agent? How do you get started? @jess_weng18 from the LangChain Academy team answers all of these questions in 2 minutes
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A Workshop Builds Governed Observable Loan Processing Agents
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📍 Toronto
📅 Nov 3 We’re teaming up with @TryArcade for a half-day, hands-on workshop. We'll build a loan-processing agent and take it from first run to governed, observable deployment. The patterns carry over to any agent that touches customer data, moves money or changes -
Enterprise Agents Need Repeatable Development Evaluation and Governance
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As more teams build agents, enterprises need shared ways to develop, evaluate, operate, and govern them. In this upcoming webinar, we’ll explore the organizational and technical foundations needed to move from isolated agent projects toward a repeatable enterprise approach.
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Python Developers Discuss Agent Harnesses Observability and Slack Coding
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joined @TalkPython w/ @mkennedy
, @reuvenmlerner
, @calvinhp
, and pat decker to talk about "the state of python in 2026" so much of it came back to development w/ agents! harnesses, observability, and why ~90% of my coding happens in slack now -
A Discussion Examines Models and Value Across the Agent Stack
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ICYMI: @hwchase17 joined @twentyminutevc with @HarryStebbings to discuss how better models change what you build, where the value in the agent stack ends up, and more.
— LangChain (@LangChain) 19 octobre 2026
Watch on YouTube: https://t.co/tlEr6tTCzG https://t.co/IYqcFyU8ooICYMI: @hwchase17 joined @twentyminutevc with @HarryStebbings to discuss how better models change what you build, where the value in the agent stack ends up, and more. Watch on YouTube: https://
youtube.com/watch?v=1jDCPE
HwQfI
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