LangChain

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LangChain

LangChain

@LangChain

Powering the Agent Development Lifecycle. Makers of LangSmith and @LangChain_OSS and @LangChain_JS.

Katılım Kasım 2022
165 Takip Edilen257.6K Takipçiler
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LangChain
LangChain@LangChain·
Stop manually triaging agent failures. Let LangSmith Engine fix it.
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LangChain@LangChain·
LangChain is hiring. ✅ Engineering ✅ GTM ✅ People + Finance ✅ Product Check out our open roles + apply today ⤵️ langchain.com/careers
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LangChain
LangChain@LangChain·
This agent drafts a cited VC investment memo in ~90 seconds for $0.40. 1️⃣ 4 LangGraph nodes powered by the @Perplexity_AI Agent API research financials, product, and market in parallel 2️⃣ A tool-less synthesizer writes the memo from only what they found Deep dive: langchain.com/blog/build-an-…
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Brace
Brace@BraceSproul·
I just published a new video on OpenWiki Brains, specifically on the general-purpose brain mode. In the video I dive into: - configuring it locally - its architecture - what the docs look like - new features like the 'open questions' agent file 👀 Check it out here: youtu.be/sBg90v2qfas
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LangChain
LangChain@LangChain·
.@NVIDIA built Nemotron to work inside agent harnesses. We wanted to see how far we could take it. An inside look on how we tuned Nemotron 3 Ultra inside Deep Agents. langchain.com/blog/tuning-th…
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LangChain
LangChain@LangChain·
LangSmith for Startups Spotlight: @finchlegal ✅ Powers pre-litigation for plaintiff personal injury firms, pairing experienced PI professionals with purpose-built agents. ✅ 10x growth over the past year, powering pre-litigation for leading plaintiff firms across the country. ✅ Uses LangSmith as their production observability layer — tracing, evaluating, and monitoring quality and cost across workflows like treatment check-ins, client communications, medical-record follow-up, document processing, and more. Want to help build the future of consumer law? Finch is hiring exceptional engineers and operators in NYC: finchlegal.com/careers
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Mason Daugherty
Mason Daugherty@masondrxy·
If you're in Boston, come hang out with us! @sydneyrunkle and I are hosting two talks on what it takes to make agents reliable in production: "The Art of Loop Engineering" — Sydney "Why Open Models Have Crossed a Threshold" — yours truly Harvard Square, July 27, 6 PM RSVP: luma.com/iaie4h2x
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Sydney Runkle
Sydney Runkle@sydneyrunkle·
calling all boston AI folks! @masondrxy and i are talking about loop eng and open models, come with questions and ideas! luma.com/iaie4h2x
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Viv
Viv@Vtrivedy10·
love what Brace is doing with open memory - fully transparent how it’s generated, can use open models too - integrates into your existing systems of work - complements memory systems like in Claude and ChatGPT - markdown first, take it wherever you want - updates with you over time
Brace@BraceSproul

x.com/i/article/2075…

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LangChain@LangChain·
"Whoever Jerry is, he was excellent." That's a customer talking about an agent. @PodiumHQ's Walker Ward sat down with our COO @j_schottenstein to share how LangGraph + LangSmith helped his team take their agents from prototype to production.
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LangChain@LangChain·
OpenWiki now supports general-purpose memory, in addition to code via the new "brains" mode. We believe both codebase and personal wikis are incredibly important for providing your agent memory, but have distinct workflows for configuring and running them. Checkout our blog on the "brains" launch to see how we think about these two problems!
Brace@BraceSproul

x.com/i/article/2075…

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LangChain
LangChain@LangChain·
Read-only agents are easy to branch and test Write access agents that touch production data are still an unsolved eval problem for many teams From the latest Max Agency with @BenTannyhill
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Brace
Brace@BraceSproul·
OpenWiki Brains 0.1.0 is officially released! We added a general-purpose memory brain to OpenWiki, in addition to the existing code brain. You can now use it to seamlessly setup a personal brain to track everything you do and are interested in. OpenWiki brains are the easiest way to setup automatic memory agents for both codebases and general-purpose memory. Try it out today 👇
Brace@BraceSproul

x.com/i/article/2075…

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Harrison Chase
Harrison Chase@hwchase17·
this is going to be a fun one! clay is one of the most ai-forward thinking companies i know of lots to learn here if you're in NYC
LangChain@LangChain

Join us for a LangChain + Clay meetup with @palashshah, @jeffbarg, Vyshu Khota, and Soroush Khadem. luma.com/jqif2hti Palash will break down how he built a self-improving agent at LangChain, LangSmith Engine. He'll dive into how the agent turns production traces into durable memory updates that continuously improve an agent's behavior. Then, the Clay team will give us a peek into how they built out their agentic eval harness, and more. Interested in attending? RSVP while spaces last.

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