LangChain OSS

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LangChain OSS

LangChain OSS

@LangChain_OSS

Ship great agents fast with our open source frameworks – LangChain, LangGraph, and Deep Agents. Maintained by @LangChain.

Katılım Ocak 2026
4 Takip Edilen2.1K Takipçiler
LangChain OSS
LangChain OSS@LangChain_OSS·
Model profiles!
Mason Daugherty@masondrxy

langchain has had a model profile attribute since ~november! cool to see this pattern getting attention every chat model auto-loads capabilities at init: context window, tool calling, structured output, modalities, reasoning. works across Anthropic, OpenAI, Google, Bedrock, etc. thanks to data powered by the open-source models.dev project. we use the data for auto-configuring agents, summarization middleware, input gating, and more. more in thread 🧵

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Mason Daugherty
Mason Daugherty@masondrxy·
langchain has had a model profile attribute since ~november! cool to see this pattern getting attention every chat model auto-loads capabilities at init: context window, tool calling, structured output, modalities, reasoning. works across Anthropic, OpenAI, Google, Bedrock, etc. thanks to data powered by the open-source models.dev project. we use the data for auto-configuring agents, summarization middleware, input gating, and more. more in thread 🧵
Lance Martin@RLanceMartin

a useful trick: Claude API now programmatically lists capabilities for every model (context window, thinking mode, context management support, etc). just ask Claude Code or use the API directly. platform.claude.com/docs/en/api/py…

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Matt Stockton
Matt Stockton@mstockton·
DeepAgents SDK is fantastic. I use it to build almost all my agentic software at this point. It seems to find a great balance between ‘batteries included’ and ‘choose your own adventure’ The team also puts a lot of work into the docs, which obviously are consumable by your agent. I have never met @Vtrivedy10 and have no affiliation with LangChain / DeepAgents, other than being a highly thankful user who appreciates all this awesome stuff we can now build with. I need to put together some tutorials / guides here but it’s been hard because I have been having way too much fun building things
Viv@Vtrivedy10

the deepagents library is basically our starting point for doing harness engineering and shipping agents the internal agents used at the company are built on it (background coding, GTM/SDR, research) there’s primitives we find really useful across our evals and dogfooding like filesystems, multi-model, context management like compaction and large tool call offloading the goal is to give builders a good starting harness and the tools to customize and extend it to any task they want we have a lot of fun watching the open source community and customers ship with deepagents and also build evals that actually measure and improve their agents over time reach out if you’re building agents, doing harness engineering, exploring the space - we wanna help!

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LangChain OSS
LangChain OSS@LangChain_OSS·
LangChain Community Spotlight: Agentic Company Researcher 🔍📊 Open-source multi-agent system generating company research reports via node-based architecture like LangGraph. Specialized agents use dual-model strategy (Gemini 2.5 Flash + GPT-4). Explore the repo: github.com/guy-hartstein/…
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LangChain OSS
LangChain OSS@LangChain_OSS·
🇳🇱 Amsterdam Meetup: Building Autonomous Systems Join fellow engineers to discuss what happens after the demo: reliability, guardrails, and the runtime + data foundations you need to ship agentic systems in production. With speakers from @LangChain @awscloud @QodoAI and @SurrealDB, we’ll dig into practical architectures for building and operating AI apps at scale, from execution environments to platform controls and durable memory. 🎤 Daniel Kneipp from @LangChain be speaking on Sandboxed Deep Agents. 🤝 Thank you LangChain Ambassador @srirangan for organizing the event with @SurrealDB! 🎟️ RSVP here: luma.com/oqjo3kut
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LangChain OSS
LangChain OSS@LangChain_OSS·
Over this past weekend, 🇬🇧 the London LangChain community got together to explore how agents can move beyond demos by grounding themselves in structured, persistent context. Big thanks to LangChain Ambassador @sudip_kandel for running the hackathon and @SurrealDB for organizing the venue, swag, support and more. Huge congratulations to the winners: 🥇 Team Taro 🥈 Team Synapse 🥉 Team Dead Reckoning A big thank you also to Abda Bastola, @chaeyoonakim, Dinuja Perera, @elenas_HQ, @IgnacioPaz87, @imam_shaik, @anushkacreates, @kramekar1, @martinschaer, Ned Rudkins-Stow and Jack Elliot Turner.
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Sydney Runkle
Sydney Runkle@sydneyrunkle·
more power to the model! we often see that the more information we give the model, the better it performs. we're experimenting with giving the model the power to compact its own conversation based on context! try it out in the latest deepagents!
Mason Daugherty@masondrxy

x.com/i/article/2031…

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Mason Daugherty
Mason Daugherty@masondrxy·
we had a lot of fun building this one: autonomous context compression in Deep Agents. instead of compacting only when you hit a token threshold, the agent can now trigger compaction at the right moments (clean task boundaries, before a big refactor, before ingesting lots of context). details + how to try it in the SDK/CLI:::
Mason Daugherty@masondrxy

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Viv
Viv@Vtrivedy10·
awesome write-up from Mason! 🐐 there’s a very exciting potential future where agents more effectively self manage context because context rot isn’t going away any time soon, we need to build systems to do better context eng a lot of this is at the harness level but there’s a related line of research where agents effectively context engineer themselves previously there’s nice work from @cognition on what happens when we make agents self aware of their context limitations we’re pretty eager to eval and push on this thread of agents being more aware of their environment and being able to act on it it’s a fun read :)
Mason Daugherty@masondrxy

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LangChain OSS
LangChain OSS@LangChain_OSS·
Context windows are finite. Good agents know *when* to compress. We just added an autonomous context compression tool to Deep Agents (SDK + CLI) so models can trigger compaction at clean task boundaries instead of waiting for a hard token threshold. Read all about it ⬇️
Mason Daugherty@masondrxy

x.com/i/article/2031…

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Sydney Runkle
Sydney Runkle@sydneyrunkle·
Just revamped the LangGraph streaming docs 🎉 With LangGraph, you choose exactly what flows out of your graph.Mix + match typed stream modes in the same run: "messages" → LLM tokens as they generate "updates" → state changes at each node "custom" → whatever you want to surface Your IDE now knows the shape of every event. No more guessing! 👇 #get-started" target="_blank" rel="nofollow noopener">docs.langchain.com/oss/python/lan…
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LangChain
LangChain@LangChain·
🚀 Day 0 support for Nvidia's Nemotron 3 Super! We're excited to support open source models that push the frontier of model intelligence, cost, and latency Try it out in deepagents today!
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Viv
Viv@Vtrivedy10·
at @LangChain we spend a lot of time designing harnesses as systems around models to do useful work in this blog, we take a first-principles look at why harnesses exist and how they help us craft good product experiences + correct model failure modes we cover filesystems, code execution, sandboxes, context rot, ralph loops, and why the best harness for your model probably isn't the one it shipped with reach out if interested in agents & harnesses! our team is doing a lot of interesting work here with deepagents
Viv@Vtrivedy10

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LangChain OSS
LangChain OSS@LangChain_OSS·
LangChain Community Spotlight: Prompt Caching Across Claude, GPT, and Gemini 💰 Simon Budziak (CTO, Lubu Labs) demonstrates prompt caching with LangChain to reduce API costs by 80-90% in document analysis—stop repaying for static context tokens. 📖 Read the guide: lubulabs.com/ai-blog/langch…
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LangChain OSS
LangChain OSS@LangChain_OSS·
LangChain Community Spotlight: Generative AI Learning Hub 📚🤖 Hub by genieincodebottle covers GenAI fundamentals to production. 20+ implementations using LangGraph for multi-agent systems and LangChain for advanced RAG, conversational AI, text-to-SQL. Check out the repository: github.com/genieincodebot…
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Keşfet

@nvidiadeveloper @Vtrivedy10 @LangChain @awscloud @QodoAI @SurrealDB @srirangan @sudip_kandel