langchain

LangChain is hosting a virtual workshop on November 3rd covering agent memory and context engineering, featuring a 5-minute context engineering explainer by Jess Weng.

LangChain is teaming up with Arcade for a half-day hands-on workshop in Toronto on Nov 3, where attendees will build a loan-processing agent and take it from first run to governed, observable deployment.

LangChain founder Harrison Chase appeared on the Twenty Minute VC podcast to discuss how stronger models demand a rethink of the orchestration layer, where the real moat lies in verifiers that domain experts can write and controllable context engineering, along with practical advice for building vertical agents.

LangChain shared a recap of Harrison Chase's conversation with Harry Stebbings on The Twenty Minute VC, highlighting that an agent = model + context + harness, and that improving any of the three can boost agent performance.

Harry Stebbings shares a quote arguing that AI agent harnesses should be model-neutral to avoid lock-in, since the harness handles data, APIs, and memory. He also praises investor Miles Grimshaw's early bet on LangChain via Benchmark.

LangChain explains how Managed Deep Agents uses sandbox proxies to inject API tokens outside the sandbox and only for allowlisted services, preventing malicious packages from stealing credentials.

LangChain 发布关于 Agent 评估（Agent Evals）的实用指南，建议从真实 trace 中选取 10–20 个失败案例构建小型评估集，结合代码检查与 LLM Judge 逐步完善评估流程。

NVIDIA 推出开源权重的 Nemotron 3.5 Super VL 视觉语言模型（120B 总参数、12B 激活），通过 ChatNVIDIA 集成为 Deep Agents 带来视觉、推理与工具使用能力，并在行为套件与速度基准上表现突出。

LangChain 发布新博客，介绍其 Deep Agents 框架如何通过将上下文移出活跃窗口（而非删除）来解决智能体长期运行时的记忆与推理准确度下降问题。

Orange Business 分享其企业 AI 平台 Live Intelligence 如何基于 LangChain 与 LangSmith 构建，涵盖 RAG 质量评估、Agent 行为测试与生产环境可观测性。该平台已在 12 万员工中部署并服务 150+ 客户，选择 LangChain 主要出于模型中立性与欧洲数据主权考虑。

LangChain announces AI Search in LangSmith, allowing users to search through traces conversationally to find answers like user frustration or agent failures instead of manually reviewing hours of data.

用户转发并评论 LangChain 在 Interrupt 大会上宣布的 LangSmith AI Search 功能，认为用自然语言搜索 trace 能大幅节省团队排查 agent 故障的时间。

LangChain event talks announced: @dorco8 from monday.com on building online and offline LLM eval pipelines with LangSmith traces, and @hwchase17 on building agents that improve over time.

LangChain 于 Interrupt 大会举办 Agent Arena 活动，由 NVIDIA 赞助：参与者可通过玩俄罗斯方块训练智能体、用 LangSmith LLM Gateway 选择模型，并在排行榜上观看智能体对竞争霸。

LangChain 发布大会午间议程：涵盖 OVO Energy 如何构建安全的客户支持智能体、Ben Tannyhill 介绍 LangSmith Engine 的开发，以及 Jimdo 如何用 LangSmith 为小企业打造 AI 助手。

LangChain 宣布支持 ScaleDown 的 constrained decision models (CDMs)，这些低成本、高速的模型针对智能体循环中的摘要、抽取和分类等特定任务优化，并可通过 LangSmith LLM Gateway 追踪调用。

LangChain Academy 课程平台即将上线，为开发者提供 LangChain 相关的学习课程。

LangChain 旗下 Interrupt 大会将于 10:30 开始首批议程，包括 Harrison Chase 的开幕主题演讲以及他与 Orange 集团首席 AI 官 Usman Javaid 的炉边对谈。

A talk shared by LangChain: every agent builder should be able to answer three questions—where the agent fails, how to reliably reproduce the failure, and how to prevent it from happening again. The talk introduces a systematic approach to improving agents through production tracing, specialized judge models, and a "world spec" simulation environment.

LangChain 发布 Managed Deep Agents 0.9，新增面向 Slack 频道的 Reactions API，让开发者可以用启发式规则、决策模型或自定义逻辑构建加载状态与操作回执，提升 Agent 的用户体验。