LangChain @LangChain
Powering the Agent Development Lifecycle. Makers of LangSmith and @LangChain_OSS and @LangChain_JS. langchain.com Joined November 2022-
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Excited to sponsor #VBTransform2026 🗓️ July 14–15 📍 Hotel Nia, Menlo Park Planning on attending? Use code VBLangChain20 for a discount on registration. venturebeat.com/vbtransform2026
@clay @jeffbarg Watch more sessions from Interrupt. interrupt.langchain.com/recordings
At Interrupt, @Clay's Head of AI @jeffbarg shared insights from running 350m GTM agents a month. ✅ Caching can cut LLM costs up to 70% ✅ Bounding tool calls often improves quality, not just cost ✅ Fairness queues matter once you have real multi-tenant load Worth 12 minutes if you're building agents for production. youtu.be/LmQtSORYPfw
One LangChain model object gives you access the whole @OpenRouter catalog for Deep Agents. Route by throughput, latency, or price. Filter providers. Enforce ZDR/no data collection. Select fallback models. When OpenRouter adds a provider or model, just pass the new slug. docs.langchain.com/oss/python/int…
Access all the providers for GLM 5.2 in one spot. Including one serving at over 125 TPS: openrouter.ai/z-ai/glm-5.2
🗣️Voice traces in LangSmith just got an update! Now, LangSmith has an audio player that runs inline with spans. No new tabs necessary. See what was being played when a particular span was active, or see what span was active when a particular piece of audio was being played.
Watch the full tutorial: youtu.be/i_Tf956Yh0U
You can turn an existing LangGraph agent into a fully functional voice agent with @pipecat_ai. This 17-minute walkthrough shows you exactly how to do it.
🗣️Voice traces in LangSmith just got an update! Now, LangSmith has an audio player that runs inline with spans. No new tabs necessary. See what was being played when a particular span was active, or see what span was active when a particular piece of audio was being played.
That's why we built LangSmith Engine, an agent built to improve your agent. Engine identifies issues from traces, clusters patterns, drafts fixes, and proposes evals to prevent regressions. Connect your tracing project + start improving your agent today: langchain.com/langsmith/engi…
Most teams building today have traces, what they don't have is a system for continuously improving their agents. The teams that do use an agent development lifecycle: build, test, deploy, and monitor. The problem with this lifecycle? It scales at the speed of their engineers.
Interpreters in Deep Agents: Small embedded runtimes where agents can write and execute code inside the agent loop. An explainer from @huntlovell on the @LangChain_OSS team langchain.com/blog/give-your…
Get started today, and let us know what you think! docs.langchain.com/langsmith/trac…
The art of loop engineering, powered by Deep Agents! langchain.com/blog/the-art-o…
self-harness: harnesses that improve themselves spoiler alert, it's all loop engineering! 1. weakness mining - run agent and observe failures 2. propose improvements to the harness 3. confirm improvements are beneficial and don't cause other regressions and then you loop! the
An awesome opportunity to learn about the Agent Development Cycle with @hwchase17 ⤵️
One thing we’ve seen pretty consistently: shipping the first version is only a small part of the work A key part of building reliable agents is having a repeatable lifecycle for improving them over time Here’s what that looks like: 1/ Build. Start with the agent, tools,
LangSmith Fleet has two types of agents: General Purpose Chat and Specialized Agents. A breakdown on why this is a deliberate choice and when to use each. langchain.com/blog/why-fleet…
🧠Self-Harness: Harnesses that improve themselves New paper on agents shaping their own harnesses to improve over time. Not from LangChain, but builds on top of DeepAgents! Three key steps: 1/ Weakness mining: find failure modes from traces 2/ Harness proposal: suggest changes to the harness 3/ Proposal validation: does regression testing on proposals and then accepts Paper: arxiv.org/pdf/2606.09498 Builds on top of DeepAgents: github.com/langchain-ai/d…
Speaking of "this is your opportunity to try GLM 5.2" 👀
Ready to see how you can meet the core technical requirements of the EU AI Act with LangSmith? langchain.com/blog/langsmith…
When the EU AI Act goes into effect, compliance will become an ongoing measurement obligation. With LangSmith, you can turn tracing into compliance evidence. Run our customizable evaluators on production traffic, and score on the EU AI Act’s requirements, including bias, hallucination, toxicity, accuracy, and adversarial inputs.
interesting point here: loops amplify behavior, making them a double edged sword but we know loops are the future, so how do we avoid amplifying bad patterns? you need an *engaged* human in the (stacked) loop(s) your agent needs to learn your taste! x.com/sydneyrunkle/s…
Some more thoughts on looping in coding agents. lucumr.pocoo.org/2026/6/23/the-…
Jay Hack @mathemagic1an
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Jim Fan @DrJimFan
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Delip Rao e/σ @deliprao
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Jeremy Howard @jeremyphoward
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Sam Whitmore @sjwhitmore
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Adam.GPT @TheRealAdamG
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Bill Lennon @blennon_
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Cameron R. Wolfe, Ph.... @cwolferesearch
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Julian Bilcke @flngr
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John McDonnell @johnvmcdonnell
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Maho @maho_0xff
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Vignesh @VigneshCyber
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MaxwellVoiceWorks @atx_slim
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陈海风 @haifeng0725
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Giovani @giofromearth_
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manda @JJtheegoattt
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T.AI @tkauya1
309 Followers 544 Following AI & DePiN Decentralized Blockchain Technology 🌐 $FET 💎 | $GTAI 🪫| | $SUI 💎| | $NEAR ✨ Undercover degen
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The Grove Foundation,... @the_grove_ai
1 Followers 22 Following The Grove Foundation publishes open standards for distributed AI architectures. https://t.co/7BVjYl6r7L
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Thryxel @thryxel
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Kraszimir Sziderov @Kraszimir
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Jonas @bnm_younes24
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AI Coding Radar @aicode_radar
0 Followers 10 Following 🚀 AIコーディングエージェントを毎日検証 業界の最新動向を実測ベースで報告 速報 × 検証 × 移行ガイド × 業界ウォッチ
Sam @Sam2480645
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Scryrix @Scryrix
3 Followers 79 Following Intelligence for the AI-Agent Economy. AI • Agents • Infrastructure • Crypto • Opportunities
DWXT @2B2BBC
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neko @neko1257720
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Orion @MDauchy1
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Christian Scotti @chris_scotti
61 Followers 370 Following Wep Performance and Cloud Security @Akamai. Dad, ♥️ racquet sports. Views my own.
Евгений Гон... @evg_goncharenko
0 Followers 13 Following Tech lead @ logistics/trade holding. Building multi-agent AI for freight forwarding & customs (China sourcing, rate collection, declaration automation). Here to
Md Shoyaib Hossain @Shoyaib_AI
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JimmyWong @newWorld1024
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cs_code_cs @cs_code_cs
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HackyChucky @hackychucky
75 Followers 414 Following Cybersecurity Analyst | Malware Hunter - 1/5 of @hack_en_ Fighting, caffeine and ego trips. Opinions are personal and don't represent my employer.
Akhlakur Rahman @Akhlaku89043097
9 Followers 157 Following Aspiring AI Engineer | Machine Learning Enthusiast | Building with LangChain, RAG & LLM Applications
Carlo Pignatari @CarloPignatari
283 Followers 904 Following Carlo Pignatari: life is nothing but a bunch of experiences.
Chess Li @ChessLi40351
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Amar Yelne @agenticaidev_a
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Karan Bhatt @karanbhatt2705
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Ninh Công Thế @NinhThe70203
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Salavat Samigoullin @ssamigoullin
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He囧囧 @HeJongJong
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北鹿城 @luchengbei
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ひらのるむ @hiranorm_dayo
2 Followers 28 Following 🐈🐈🐈まったりと個人開発したりコンペ参加してます🌊🌊🌊 / 京大院卒のはぐれエンジニア / Kaggle enjoy cluster / Kaggle Competition Expert 🥈×2 🥉×5 / Account https://t.co/gYYmdsYTZl
Tok @DEAYWME
21 Followers 367 Following
Vincent Neethling @Chrono_Tech_Ai
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Venkata Aditya @xtremeKoder
6 Followers 193 Following
John (Sapien2.0) @OneWorldSapien
19 Followers 142 Following Transhuman advocate for better living in the new world. Silicon+Organic hybrid. Universal Intelligence. 🦾🧬🧠🤖 - Sapien 2.0
Jack @harbourrr123
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Harrison Chase @hwchase17
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Anthropic @AnthropicAI
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406K Followers 5K Following Co-founder & CEO @HuggingFace 🤗, the open and collaborative platform for AI builders
Sam Whitmore @sjwhitmore
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10K Followers 2K Following On a mission to unlock the power of biotechnology and empower our global customers to get to milestones and market faster. Academics join for free! 🧫🧬👩🏻🔬
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