Open Agent Platform Create and orchestrate AI agents through an intuitive, no-code interface. The platform features multi-agent supervision, RAG capabilities, and integrations with GitHub, Dropbox, and email – all powered by the LangChain + Arcade ecosystem. Watch the
@langchain
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LangChain Promotes Free Registration for Snowflake Developer Day Event
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We can’t wait for #SnowflakeDevDay! Register now for free: https://
snowflake.com/en/summit/dev-
day/?utm_source=partner&utm_medium=langchain&utm_campaign=snowflake-partner-devday25
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Ambient AI Agents: Production Challenges and Email Revenue Automation
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Harrison Chase & Deepak Bapat (Tabs CTO) explore ambient vs background AI agents, vertical AI advantages, and the technical challenges of production systems – plus Tabs' approach to building ambient agents for email monitoring and revenue automation without chat interfaces.… pic.twitter.com/bzPJfF6U1a
— LangChain (@LangChain) 30 mai 2025Harrison Chase & Deepak Bapat (Tabs CTO) explore ambient vs background AI agents, vertical AI advantages, and the technical challenges of production systems – plus Tabs' approach to building ambient agents for email monitoring and revenue automation without chat interfaces.
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LangChain AI Memory Meetup San Francisco with Four Expert Speakers
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We're hosting an AI Memory meetup in our new office with @GregKamradt
! Four experts. One night. San Francisco. Featuring: @sjwhitmore – Social memory @newcomputer @NicoleHedley3 – Memory for clients @ Headstart
Will Fu-Hinthorn – Memory types @langchain @ericzakariasson – -
JPMorgan’s Multi-Agent AI System for Investment Research
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Learn how @jpmorgan developed a multi-agent system architecture for investment research.
— LangChain (@LangChain) 29 mai 2025
David Odomirok and Zheng Xue reveal how they built "Ask David" – a sophisticated multi-agent AI system designed to automate investment research for thousands of financial products.
Watch… pic.twitter.com/ljiMZAnPQILearn how @jpmorgan developed a multi-agent system architecture for investment research. David Odomirok and Zheng Xue reveal how they built "Ask David" – a sophisticated multi-agent AI system designed to automate investment research for thousands of financial products. Watch
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Complex Agents: Factory Uses LangSmith for Evals and Observability
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As you get more complex agents, evals + observability become increasingly important. What does factory use for that? Langsmith of course: https://t.co/IuI4b0uIVg https://t.co/40eDttAjyb
— LangChain (@LangChain) 28 mai 2025As you get more complex agents, evals + observability become increasingly important. What does factory use for that? Langsmith of course: https://
blog.langchain.dev/customers-fact
ory/
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Andrew Ng on Practical AI Agent Development at LangChain Interrupt
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Andrew Ng, founder of https://t.co/hRItByTCJu and AI Fund, shares insights on practical AI agent development approaches.
— LangChain (@LangChain) 28 mai 2025
In this fireside chat with Harrison Chase at LangChain's Interrupt 2025 conference, one of AI's most respected voices shares practical approaches and tools… pic.twitter.com/RTpYZzEzLFAndrew Ng, founder of http://
DeepLearning.AI and AI Fund, shares insights on practical AI agent development approaches. In this fireside chat with Harrison Chase at LangChain's Interrupt 2025 conference, one of AI's most respected voices shares practical approaches and tools -
Self-Host Your Own Open Agent Platform Instance in Production
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Ready to deploy your own Open Agent Platform (OAP) instance? In our latest video, we show you how to self-host OAP in production—no managed instance required. OAP is an open-source, no-code platform for building, prototyping, and deploying intelligent agents. With its
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LangSmith Prompts Integration with SDLC Workflow Automation
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Integrate LangSmith prompts with your SDLC You can already test, version and collaborate on prompts in LangSmith. Now, with webhook triggers on prompt changes, you can automatically sync prompts to GitHub, external DBs, or kick off CI. Docs: https://
docs.smith.langchain.com/prompt_enginee
ring/tutorials/prompt_commit
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Eval-Driven Development: Solving AI Agent Production Challenges
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👀 How to Solve the #1 AI Agent Production Blocker!
— LangChain (@LangChain) 27 mai 2025
LangChain CEO Harrison Chase reveals the approach: Eval-driven development using three types of evals throughout your entire development lifecycle.
Watch the full video here: https://t.co/gzzKmgoDd8 pic.twitter.com/FWZoh5Qtt1How to Solve the #1 AI Agent Production Blocker! LangChain CEO Harrison Chase reveals the approach: Eval-driven development using three types of evals throughout your entire development lifecycle. Watch the full video here: https://
youtube.com/watch?v=DsjkO2
vB618/?utm_medium=social&utm_source=twitter&utm_campaign=q2-2025_interrupt-2025_co
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