After deployment finishes, you should be able to see it in the LangSmith UI You get a nice dashboard of the deployment where you can see traces, revisions, docs site, and other info
INNOVATION
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LangChain adds MCP server tool for Mintlify documentation
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Now let's give it a tool! We host our docs on @mintlify
, which means we get an MCP server out of the box. Let's add that to our mcp.json file (You can see our full docs here: https://
docs.langchain.com) -
Initializing DeepAgents Project with Repository Setup
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Then I'm going to set up my repo. I'm going to run `deepagents init` It will ask me to give my project a name. I'm going to call it `lc-docs`. It will then set up scaffolding for my project
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DeepAgents Deploy: No-Code Agent Production Deployment Platform
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DeepAgents Deploy is the easiest way to bring agents to production, with just a few markdown and configuration files (no code!) Here's me building an agent that connects to LangChain Docs. Powered by @Zai_org GLM5 (via @baseten
) and @mintlify MCP -
Installing DeepAgents CLI for agent deployment
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First I'm going to install deepagents cli. This is a CLI which will help me set up and then deploy my agent `uv tool install deepagents-cli` DeepAgents CLI is open source – see it here: https://
github.com/langchain-ai/d
eepagents/tree/main/libs/cli
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Innovation Diffusion Knowledge Shapes AI Adoption Timeline Expectations
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The less you know about the diffusion of innovations, the sooner you think AI will take over.
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Google ADK Now Available in Python, TypeScript, Java, Go
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Google ADK is available in the language of your choice. Pyhton, TS, Java and Go 🙂
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Distinguishing True Talent from Luck in AI Industry
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The difference between insiders and outsiders is that insiders know who's really good and who just got lucky.
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The 2020s Mirror 1970s but at Accelerated Speed
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The 2020s are like the 1970s, except everything happens a lot faster. https://t.co/vxmZ2xazRi
— Pedro Domingos (@pmddomingos) 29 avril 2026The 2020s are like the 1970s, except everything happens a lot faster.
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Tandem Voice AI Architecture Enables Speaking While Thinking
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For years, voice AI has been stuck in a rigid loop: think, then speak. But real human conversation is messy, overlapping, and asynchronous.
— hardmaru (@hardmaru) 29 avril 2026
In our new #ICASSP2026 work, we built a tandem architecture that shifts the paradigm to “speak while thinking.” A fast speech model starts… https://t.co/gyRFlqDSUjFor years, voice AI has been stuck in a rigid loop: think, then speak. But real human conversation is messy, overlapping, and asynchronous. In our new #ICASSP2026 work, we built a tandem architecture that shifts the paradigm to “speak while thinking.” A fast speech model starts