LangChain✓

@LangChain

Own your intelligence. Makers of LangSmith, @LangChain_OSS, and @LangChain_JS.

207 Following272K Followers12K Posts
  1. LangChain✓@LangChain
    LangSmith for Startups Spotlight: @PetualAI ✅ Agents for internal audit and SOX teams at leading public companies and high-growth enterprises. ✅ Use LangSmith within their engineering workflow to understand, improve, and validate the performance of their AI systems. 🏢 Hiring across functions:
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  2. LangChain✓@LangChain
    “Typically the manual mechanism takes about 20 days. Just with the first pass, we are able to drive it down to 10.” @skyworksinc uses LangGraph and LangSmith to deploy agents and run evals in one place. ⏯️ How they’re using agents to cut root cause analysis time.
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  3. LangChain✓@LangChain
    LangChain
    RT @hwchase17: a lot of the challenges in harness engineering are now best solved by closer integration of harness and infra async subagents and browser use are two examples of this now in MDA 0.10!
    nathan drezner @ndrezn
    most of the web has no API, just pages built for people clicking through them so! we added a browser to Managed Deep Agents. and when a site wants a login, agents can hand over the window so passwords stay out of the model. all built in with every MDA
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  4. nathan drezner✓@ndrezn
    most of the web has no API, just pages built for people clicking through them so! we added a browser to Managed Deep Agents. and when a site wants a login, agents can hand over the window so passwords stay out of the model. all built in with every MDA
    1143611.4K
  5. LangChain✓@LangChain
    Managed Deep Agents 0.10: Now available in public beta 🌐 Browser use: Your agent can now work on websites with no API 💬 Async subagents: Run long tasks in the background while your agent keeps talking 🧵 Thread origins and stopping runs ...and so much more
    nathan drezner @ndrezn
    most of the web has no API, just pages built for people clicking through them so! we added a browser to Managed Deep Agents. and when a site wants a login, agents can hand over the window so passwords stay out of the model. all built in with every MDA
    40173.5K
  6. LangChain✓@LangChain
    LangChain
    RT @amal_irgashev: a lot of you asked how i made our launch video for Content Studio it took 13 iterations, 5 hours and ~$120, all done in a Slack thread here's the breakdown of every step 🧵
    amal @amal_irgashev
    We just open sourced our internal design brain 🧠 Meet Content Studio - the agent behind 3,000+ assets at @LangChain Create on-brand product launch videos, slide decks, ad creatives, social media assets, ui mockups and more Storyboard and collaborate on a shared canvas in @paper and edit videos in code with @HyperFrames_ It even made its own launch film below, and went full Rocky 🥊 Fork it, add your brand guidelines, and deploy it to your team in Slack with Managed Deep Agents Here’s what 's inside 🧵
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  7. amal✓@amal_irgashev
    We just open sourced our internal design brain 🧠 Meet Content Studio - the agent behind 3,000+ assets at @LangChain Create on-brand product launch videos, slide decks, ad creatives, social media assets, ui mockups and more Storyboard and collaborate on a shared canvas in @paper and edit videos in code with @HyperFrames_ It even made its own launch film below, and went full Rocky 🥊 Fork it, add your brand guidelines, and deploy it to your team in Slack with Managed Deep Agents Here’s what 's inside 🧵
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    253442557.2K
  8. LangChain✓@LangChain
    Come learn about our design agent on October 28th! Chat with our team, see it in action, and discover how it works! RSVP:
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    LangChain @LangChain
    How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
    47598.5K
  9. LangChain✓@LangChain
    Excited to partner with the @Eon_io_ team to benchmark model misalignment in enterprise environments. The first question we're digging into: Do results change when the model runs inside the Deep Agents harness? Stay tuned for more research.
    Ofir Ehrlich @OfirEhrlich
    We just ran the most comprehensive benchmark of AI agent alignment in enterprise environments: 19 leading AI models acting as agents inside simulated companies built with Era, 2,304 runs across 41 everyday tasks. Agents broke security and business rules in 40% of those runs. Every single model failed, including all the frontier models. A few examples: - An agent told one of the company's biggest customers that Finance had approved a full refund. Nobody had. 
- An agent shared a customer's internal churn-risk score directly with that customer. 
- An agent followed a fake runbook planted in a support ticket and promised a customer a credit nobody approved. 
- An agent posted another customer's personal contact details (PII) in a shared Slack channel. In a real company, each of these is a financial liability, a compliance breach, or a lost account. We've shared the full results with the model providers, including exploitable failure modes we're not publishing, and are working with them on fixes. One benchmark won't fix this. We're excited to have @cognition, @LangChain, @TryArcade, @Reindeer_AI, Hirundo, @Box, @recolabs_ai and @QodoAI join Era as research partners, as we build out the next round of research. More soon. I'm still the most bullish person in the room on AI. But this benchmark convinced me that agent reliability and trust is the next big problem to solve. Until then, test every agent before it gets a login, and keep your own record of what it changes. Full results:
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  10. LangChain✓@LangChain
    Built on Managed Deep Agents. Used by our team every day.
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    LangChain @LangChain
    How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
    24376.9K
  11. Ofir Ehrlich✓@OfirEhrlich
    We just ran the most comprehensive benchmark of AI agent alignment in enterprise environments: 19 leading AI models acting as agents inside simulated companies built with Era, 2,304 runs across 41 everyday tasks. Agents broke security and business rules in 40% of those runs. Every single model failed, including all the frontier models. A few examples: - An agent told one of the company's biggest customers that Finance had approved a full refund. Nobody had. 
- An agent shared a customer's internal churn-risk score directly with that customer. 
- An agent followed a fake runbook planted in a support ticket and promised a customer a credit nobody approved. 
- An agent posted another customer's personal contact details (PII) in a shared Slack channel. In a real company, each of these is a financial liability, a compliance breach, or a lost account. We've shared the full results with the model providers, including exploitable failure modes we're not publishing, and are working with them on fixes. One benchmark won't fix this. We're excited to have @cognition, @LangChain, @TryArcade, @Reindeer_AI, Hirundo, @Box, @recolabs_ai and @QodoAI join Era as research partners, as we build out the next round of research. More soon. I'm still the most bullish person in the room on AI. But this benchmark convinced me that agent reliability and trust is the next big problem to solve. Until then, test every agent before it gets a login, and keep your own record of what it changes. Full results:
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    2723919.6K
  12. LangChain✓@LangChain
    LangChain
    RT @hwchase17: deepdive into how we built our design agent (along with oss code) i use this at least a few times a week for slides, gifs, images, etc
    LangChain @LangChain
    How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
    01501.3K
  13. LangChain✓@LangChain
    🌐 Managed Deep Agents can now use a browser Your agent can: - Take actions on sites with no API, like booking a reservation - Test an application end to end through its UI - Hand you the browser to sign in, then pick up where it left off Docs ➡️
    Sydney Runkle @sydneyrunkle
    92434.6K
  14. LangChain✓@LangChain
    LangChain
    RT @ndrezn: bet ya didn't know... Content Studio is a managed deepagent!!! want your own content studio deployed in your organization? git clone mda deploy boom
    LangChain @LangChain
    How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
    0201.6K
  15. LangChain✓@LangChain
    LangChain
    RT @amal_irgashev: We just open sourced our internal design brain 🧠 Meet Content Studio - the agent behind 3,000+ assets at @LangChain Create on-brand product launch videos, slide decks, ad creatives, social media assets, ui mockups and more Storyboard and collaborate on a shared canvas in @paper and edit videos in code with @HyperFrames_ It even made its own launch film below, and went full Rocky 🥊 Fork it, add your brand guidelines, and deploy it to your team in Slack with Managed Deep Agents Here’s what 's inside 🧵
    02801.5K
  16. LangChain✓@LangChain
    LangChain
    RT @amal_irgashev: one of the biggest things i learned building @LangChain’s internal design agent is that most of the rules i wrote actually made it worse... they were there to compensate for the model’s intelligence at the time but when Opus 5.5 came out i deleted most of them, and the work got a lot more creative we got into this with 350+ people at our GTM Engineering Live today. key takeaways below 🧵
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  17. LangChain✓@LangChain
    .@Box’s Deep Agent architecture for Box Agent uses a parent/child model. Simple request? The parent handles it directly. No planning needed. Complex request? It spawns child agents to distribute the work, keeping the invocation surface uniform throughout.
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  18. LangChain✓@LangChain
    LangChain is returning to re:Invent. A TL;DR: 📍 Meet us at Booth #1740 🎙️ Talks + Panels throughout the week 🗓️ Co-hosted events featuring breakfasts, networking, dinners, and more See what we’re up to + book meetings:
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    42185.9K
  19. LangChain✓@LangChain
    Posts @LangChain
    @Box "If the question was very simple, or the search was very simple, the parent node can just do it. It doesn’t even need to come up with a plan” -Shubhro Roy, AI Engineering Leader at @Box
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  20. LangChain✓@LangChain
    LangChain
    RT @colifran_: we've been exploring how to make the knowledge openwiki produces more useful to agents. our latest experiment pairs the wiki with a lightweight evidence graph, letting agents follow relationships and trace information back to supporting evidence. on complex, domain-specific questions requiring cross-source reasoning we saw: 👉 5x higher accuracy with openwiki vs. grep alone 👉 27% more accurate with the evidence graph 👉 2x citation consistency 👉 58% lower cost per correct answer with the graph check out the blog ⤵️
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  21. LangChain✓@LangChain
    What does it take to get to an agent that catches its own mistake and writes the eval and the fix? Catch @hwchase17's Interrupt London session on building agents that improve over time:
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    84468.4K
  22. LangChain✓@LangChain
    Great look at making agent memory traceable to evidence ⤵️
    Colin Francis @colifran_
    we've been exploring how to make the knowledge openwiki produces more useful to agents. our latest experiment pairs the wiki with a lightweight evidence graph, letting agents follow relationships and trace information back to supporting evidence. on complex, domain-specific questions requiring cross-source reasoning we saw: 👉 5x higher accuracy with openwiki vs. grep alone 👉 27% more accurate with the evidence graph 👉 2x citation consistency 👉 58% lower cost per correct answer with the graph check out the blog ⤵️
    52258.4K
  23. LangChain✓@LangChain
    Experience the best of Interrupt 26. 📍 SF 📍 NYC 📍 LDN Every session. On demand.
    LangChain @LangChain
    What’s new in Managed Deep Agents 0.9? And how can you get started? Watch @VictorMoreira16's keynote from Interrupt London for an inside look.
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  24. LangChain✓@LangChain
    What’s new in Managed Deep Agents 0.9? And how can you get started? Watch @VictorMoreira16's keynote from Interrupt London for an inside look.
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    823616.9K
  25. LangChain✓@LangChain
    Can you trust an LLM judge? Join @divyasan0 Oct 28th for a virtual workshop on: ✅ How to score a trajectory with the trajectory match evaluator ✅ How to tune matching so evals fail on real behavior changes, not argument formatting ✅ When to use deterministic matching vs. LLM-as-judge ✅ How to wire evals into your loop so regressions show up before they ship Interested in attending? RSVP today!
    124668.4K
  26. LangChain✓@LangChain
    LangChain
    RT @amal_irgashev: deslopify - made with Content Studio
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    amal @amal_irgashev
    We just open sourced our internal design brain 🧠 Meet Content Studio - the agent behind 3,000+ assets at @LangChain Create on-brand product launch videos, slide decks, ad creatives, social media assets, ui mockups and more Storyboard and collaborate on a shared canvas in @paper and edit videos in code with @HyperFrames_ It even made its own launch film below, and went full Rocky 🥊 Fork it, add your brand guidelines, and deploy it to your team in Slack with Managed Deep Agents Here’s what 's inside 🧵
    0101.6K
  27. LangChain✓@LangChain
    Join LangChain + @typesafeAI on November 5th for an evening of talks on building with decision models and using them to evaluate agents. Hear from @sydneyrunkle, Seán Roche, and @allietheicon. Interested in attending? RSVP today!
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    35329.2K
  28. LangChain✓@LangChain
    LangChain
    RT @DeepLearningAI: Build reliable agents for long-running tasks. Loop Engineering with @LangChain Deep Agents: add loops that check output, trigger runs on events, and improve the harness from traces across runs. Taught by @sydneyrunkle and @EAGar123. Enroll for free:
    03801.4K
  29. LangChain✓@LangChain
    LangGraph explained in 1 minute.
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    23529.8K
  30. LangChain✓@LangChain
    LangChain
    RT @sydneyrunkle: great to work w/ @AndrewYNg and @EAGar123 on this loop engineering course! this course focuses on how to build agents that can a) handle complex tasks and b) improve over time with deepagents!
    DeepLearning.AI @DeepLearningAI
    Build reliable agents for long-running tasks. Loop Engineering with @LangChain Deep Agents: add loops that check output, trigger runs on events, and improve the harness from traces across runs. Taught by @sydneyrunkle and @EAGar123. Enroll for free:
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  31. LangChain✓@LangChain
    LangChain
    RT @amal_irgashev: We learned a ton building the internal design brain for the company from building a custom media harness to encoding taste and design judgement. Will share all learnings in Wednesday!
    LangChain @LangChain
    💻 Happening this Wednesday! Go behind the scenes of the design agent we use every day at LangChain. RSVP for our GTM Engineering live series event:
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  32. LangChain✓@LangChain
    You’re an mda init and mda deploy away from distributing a proactive agent in your org. Since launching dynamic scheduling for Managed Deep Agents in September, over 70% of MDA runs on LangSmith come from schedules vs human typing a message.
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    nathan drezner @ndrezn
    nearly every proactive agent you've seen is a cron job with a prompt memory that "dreams" overnight, agents that ping you first. both are scheduled runs on a 50+ year old OS idea how to build one with Managed Deep Agents ⬇️
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  33. LangChain✓@LangChain
    💻 Happening this Wednesday! Go behind the scenes of the design agent we use every day at LangChain. RSVP for our GTM Engineering live series event:
    58369K
  34. nathan drezner✓@ndrezn
    nearly every proactive agent you've seen is a cron job with a prompt memory that "dreams" overnight, agents that ping you first. both are scheduled runs on a 50+ year old OS idea how to build one with Managed Deep Agents ⬇️
    151015836.6K
  35. LangChain✓@LangChain
    The company? The framework? LangChain explained in 2 minutes.
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    46408.4K
  36. LangChain✓@LangChain
    LangChain
    RT @caspar_br: Company harnesses break down knowledge silos Three in four requests to Content Studio come from people outside marketing. This usage pattern is why I'm so bullish on company harnesses: they allow everyone to get involved in domains they had no business in before. We've encoded our design team's judgment into a set of skills anyone can use, so anyone with a creative vision can execute it with Content Studio Coding agents brought the same shift to SWE. People who would have called themselves nontechnical a year ago are now shipping PRs I'm excited to see this happen in every domain
    LangChain @LangChain
    How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
    0801.7K
  37. LangChain✓@LangChain
    How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
    303824070.5K
  38. LangChain✓@LangChain
    LangSmith now tracks cache hit rates for your agents 🦜 Cached LLM calls are cheaper and faster, so it's worth knowing how often your agent actually gets a hit. 📊 View your agent's overall hit rate as a single stat 🧵 Break it down thread by thread 📈 Chart it over time with our dashboard templates Try it out today ➡️
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    2467310.2K
  39. LangChain✓@LangChain
    Our design agent doesn’t burn tokens starting over. It never hands back a flat image or a generated clip. Slides are HTML. Charts are data specs. Films are animation timelines. “Move the parrot left” is a one-value change, not a regenerate-from-scratch. 🍿 Want to go deeper? We asked our design agent to make a film about how it works.
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    LangChain @LangChain
    How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
    112719621.6K