
Harrison Chase
@hwchase17
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@LangChainAI, previously @robusthq @kensho MLOps ∪ Generative AI ∪ sports analytics
Joined July 2014
🧠🤖Deep Agents. Simple tool calling loops fail on longer time horizon or more complex tasks. Deep Agents like Deep Research, Claude Code & Manus succeed by using a number of tools and tricks. We created a new Python package which makes it easy to build your own Deep Agents!
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RT @aparnabsinha: Nice! Langsmith is one of the fully featured LLM observability and eval tools out there.
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Computer Use Agents are long running, stateful applications. LangGraph provides durable execution (along with short term memory, human-in-the-loop, streaming, etc) to enable these types of agents!.
[New Post] CUA market and where things are. Below is what it takes to construct a computer use agent today, and some different approaches to get there . We are still in the very early innings but @zephratic @JenniferHli @seema_amble and I are excited to hear what you build 🧵
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RT @Hacubu: 🔺 AI SDK 5 🤝 LangSmith 🦜🛠️. We shipped a new way to trace @aisdk v5 with @LangChainAI LangSmith! Just wrap `generate/stream` me….
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RT @ToriSeidenstein: @LangChainAI launched Deep Agents which are super powerful, but coding agents can't build them because they're stuck w….
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RT @lgesuelli_p: Handling concurrent interrupts with human-in-the-loop (hilt) is not trivial, so I built a minimal LangGraph ReAct agent to….
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RT @LangChainAI: LangGraph Studio just got a face-lift! ✨.A revamped Interact mode now supports:.• 📝 Markdown.• 📌 Sticky headers.• 📡 Smarte….
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RT @LangChainAI: 🔄 Revision Rollbacks just landed in LangGraph Platform!. ✨Redeploy any previous revision, making it easy to revert changes….
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RT @marlene_zw: I don't think there is enough awareness about just how many people are using Langchain. It is by far the most used agentic….
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really cool integration here! train your LG agents with RL through ART!.
Super excited to announce the official integration between ART and LangGraph!. You can now easily train your LangGraph agents with reinforcement learning — automatically improving reasoning, tool use, and adaptability. More info below:
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RT @corbtt: Super excited to announce the official integration between ART and LangGraph!. You can now easily train your LangGraph agents w….
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RT @LangChainAI: 📊🏦 AI Bank Statement Analyzer. This system uses local LLMs and LangChain's RAG to transform bank statements into queryable….
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RT @LangChainAI: 🤖 Synapse Workflows: AI Agents. A powerful platform unifying search, productivity, and data analysis through natural langu….
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RT @BraceSproul: The Deep Agents architecture is now available via a TypeScript package!!. We're super excited to get this in both Python a….
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RT @LangChainAI: Join us for Demo Night where AI builders from our community showcase real projects they're building with LangGraph. What….
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RT @LangChainAI: 📚🔍 Academic Deep Search Assistant. A powerful research assistant that automatically discovers and analyzes academic papers….
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RT @LangChainAI: local-deepthink: Democratizing Deep Thought 🧠. local-deepthink ia a system that runs a novel algorithm called Qualitative….
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RT @daytonaio: Run LLM-generated Python code safely. @LangChainAI + @daytonaio demo → secure sandbox, code generation, file ops, auto-clea….
daytona.io
Safely run LLM-generated Python code using LangChain, OpenAI, and Daytona sandboxes in a secure, isolated environment.
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RT @virattt: I'm finally exploring Deep Agents this week. Really loving the Python and TypeScript projects created by @LangChainAI. Has fo….
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