Streaming Tokens and Tools Turn Agentic Harness Support in NVIDIA Dynamo! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
AGENTS
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Agentic AI Playbook 2026: Turning LLMs into Reliable Agents
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The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: http://
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Design Multi-Agent AI Systems — New Packt Release
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New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
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Glean Platform Integrates AI Agents for Unified Enterprise Search
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Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all
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Hooks support and extensibility framework coming to Codex
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Hooks support is coming to the Codex app as well! > Hooks are an extensibility framework for Codex. They allow you to inject your own scripts into the agentic loop.
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Anthropic Introduces Managed Agents Feature for Claude
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In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget.
— Dan Shipper 📧 (@danshipper) 8 mai 2026
That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a… pic.twitter.com/zmKaR99GdjIn the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a
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Architecting Infrastructure for Long-Horizon AI Agents
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Join our live session and learn: How to think about the agent harness vs. the runtime layer underneath it What infrastructure long-horizon agents need for durable, stateful execution How to plan for memory, recovery, human intervention, observability, and scale Why
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Technical Production Requirements for Long-Horizon AI Agents
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Long-horizon agents introduce production requirements that short-running agents don’t: durable execution, state management, recovery, memory, observability, and human oversight. On May 28th, join @sydneyrunkle for a live session on The Runtime Behind Production Long-Horizon
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DeepMind AI scores 48% on research-level math problems
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DeepMind's AI co-mathematician scored 48% on FrontierMath Tier 4-research-level math problems that professional mathematicians need weeks to solve. The base model (Gemini 3.1 Pro) scores 19% alone. The entire jump comes from agentic scaffolding, parallel agents reviewing each
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Hardening agentic stacks against reasoning and tool parsing drift
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Most agentic stacks run into the same problems pretty quickly: reasoning and tool parsing drift across turns, KV cache reuse falls apart, or tools fire too late. We’ve been hardening Dynamo’s harness-facing path so @Claudeai Code, @OpenClaw
, and @openai Codex-style agent