And our team is growing!!! Open roles: https://
langchain.com/careers
@langchain
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LangChain Is Hiring: Open Roles Available on Careers Page
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Should You Use a Sandbox for Your AI Agent?
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Should you use a sandbox for your agent?@ListenLabs Co-Founder & CTO @florian_jue shared what can go wrong on the Max Agency podcast hosted by @hwchase17 . pic.twitter.com/zqmWjcQyOQ
— LangChain (@LangChain) 1 mai 2026Should you use a sandbox for your agent? @ListenLabs Co-Founder & CTO @florian_jue shared what can go wrong on the Max Agency podcast hosted by @hwchase17 .
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Merge API Offers Integrated Platform for AI Builders at Interrupt
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Meet @merge_api at Interrupt! Merge provides one platform for the hardest parts of building AI, handling the integrations, agent infrastructure, and model routing so your team can stay focused on product.
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Abridge Joins Interrupt Conference to Demo AI Clinical Notes
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@AbridgeHQ is joining us at Interrupt. At Interrupt, the Agent Conference by LangChain, VP of Product Janie Lee will take the stage to discuss how Abridge transforms patient-clinician conversations into contextually aware, clinically useful, and billable AI-generated notes.
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Practical Framework for AI Improvement Through Data Traces
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Get traces Enrich them Improve from them Repeat Head of Product @samecrowder on how to do this in practice:
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LangChain Now Hiring Positions Available
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We can confirm #11 is hiring. https://
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Clay Presents GTM Engineering Agents at Interrupt Conference
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@Clay is coming to Interrupt! At Interrupt, the Agent Conference by LangChain, Head of AI @jeffbarg will take the stage to show us how Clay successfully scales their GTM Engineering agents. Catch Jeff’s talk along with all the others at Interrupt on May 13-14 in San Francisco. -
Deep Agents Launches Per-Model Harness Profiles Feature
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Until today, Deep Agents shipped with a single set of prompts, tools, and middleware aimed to work well across all Large Language Models. With the launch of harness profiles, you can now control these parameters on a per-model basis.
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Madrigal Pharma Multi-Agent Platform Powered by LangChain
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@MadrigalPharma
’s multi-agent research and intelligence platform for pharma is powered by LangChain + LangSmith. When users ask research questions, the orchestrator breaks them into sub-tasks. Multiple agents working in conjunction towards an overarching goal, with an -
Parallelism and Agentic Skills Accelerate Prototype to Production
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Going from prototype to production took weeks instead of months. Madrigal’s team is finding parallelism increases accuracy and scope while decreasing latency. With agentic skills, domain experts can work directly inside the feedback loops and address shortcomings. See