ICYMI: We announced LangChain Labs at Interrupt. – An applied research effort focused on continual learning for agents – Early research partners: @NVIDIA
, @harvey
, @PrimeIntellect
, @Fireworks_AI
, @Baseten
AI
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LangChain Labs Announced for Continual Learning in Agents
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AI Agents for Predictive Maintenance and Operations
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Prescriptive maintenance does not just tell you what is failing. It tells you what might be happening and how to fix it. That output then feeds an agentic layer that can query your ERP for parts availability, place an order if needed, and route the right technician to the right… pic.twitter.com/mSbDq1lIZP
— Lucian Fogoros (@fogoros) 27 mai 2026Prescriptive maintenance does not just tell you what is failing. It tells you what might be happening and how to fix it. That output then feeds an agentic layer that can query your ERP for parts availability, place an order if needed, and route the right technician to the right
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Open sourcing tokenizer more efficient than HuggingFace and SentencePiece
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Every millisecond matters. We’re open sourcing the tokenizer we built and deployed on production; that’s far efficient than huggingface and sentencepiece.
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Fleet Agents Now Execute Code for General Tasks
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Fleet agents now come with a computer! They can write and execute code, which is helpful for general purpose tasks beyond coding
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AI Agent Development Roadmap: From LLMs to Orchestration
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The roadmap to building AI agents is becoming clearer Learn LLMs & prompting Add tools & APIs Implement memory Build workflows Orchestrate multi-agent systems Deploy, monitor, improve Great agents are not just intelligent.
They are connected, stateful, -
Context Hub Launched for AI Agent Context Management
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We launched Context Hub as a way to manage skills, AGENTS.md files, and other context files an agent might need You can easily use it as a virtual filesystem in deepagents See this video for more info!
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The Expensive Hobby Mistake: Why AI Projects Fail and How to Succeed
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The Expensive Hobby Mistake: Why #AI Projects Fail and How to Succeed
by @Khulood_Almani #ArtificialIntelligence #MachineLearning #ML #DL -
On-Policy Distillation: Emerging AI Post-Training Method
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A new class of post-training method is emerging in 2026: On-Policy Distillation (OPD). It’s already showing up across frontier open-weight model releases, and it’s quickly becoming a technique worth understanding. To help you get up to speed, we’ve compiled a list of the most
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Fleet AI Agents Now Capable of Secure Code Execution and Analysis
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Fleet agents can now securely write and run code. With computer use in LangSmith Fleet, agents get isolated execution environments. Analyze data, transform files, generate & write code, and run shell commands all within a secure virtual computer. Now in public beta.
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AI Safety & Agent Security Tools: Claude, Google, Microsoft, OpenAI
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Doc of Claude Code plug-in: https://
code.claude.com/docs/en/securi
ty-guidance
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Google AI Threat Defense blog: https://
cloud.google.com/blog/products/
identity-security/introducing-google-ai-threat-defense
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Microsoft's RAMPART Blog: https://
microsoft.com/en-us/security
/blog/2026/05/20/introducing-rampart-and-clarity-open-source-tools-to-bring-safety-into-agent-development-workflow/
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OpenAI's Daybreak website: https://
openai.com/daybreak/
Perplexity's Bumblebee: https://
perplexity.ai/hub/blog/perpl
exity-is-open-sourcing-bumblebee
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