New paper from Microsoft on Self-Evolving Agent Skills
AGENTS
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Open-source AI voice agents deployable for free
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🚨 You can now deploy unlimited AI voice agents on your own infrastructure for $0.
— Charly Wargnier (@DataChaz) 25 mai 2026
Stop bleeding margin to per-minute SaaS rentals.
A team of YC alumni just built an open-source exit hatch, and I've been really excited to be involved with it.
Dograh is a fully self-hosted… pic.twitter.com/sC8u56cuY6You can now deploy unlimited AI voice agents on your own infrastructure for $0. Stop bleeding margin to per-minute SaaS rentals. A team of YC alumni just built an open-source exit hatch, and I've been really excited to be involved with it. Dograh is a fully self-hosted
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16 Local AI Agents Running on DGX and MiniMax M2.7
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(2x DGX Sparks) + MiniMax M2.7 NVFP4 = 16 local AI agents running simultaneously 👀 https://t.co/Oaf5J1dyuF
— NVIDIA AI (@NVIDIAAI) 25 mai 2026(2x DGX Sparks) + MiniMax M2.7 NVFP4 = 16 local AI agents running simultaneously
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Token efficiency advice for writing skills with agents
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Folks: when you write skills, ask your agent to be token efficient, relax grammer. I see too many skills that write books in the skill description, and all that crap is loaded into every context. I wrote a skill that finds the worst offenders.
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Dan Shipper: Future of work inside Codex or Claude Code
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My biggest takeaways from @danshipper
: 1. The future of work will happen inside Codex or Claude Code. Instead of putting AI into your SaaS tool, you’ll use your SaaS tools inside your favorite AI agents' in-app browser. Dan spends all his time in Codex now—writing documents, -

Non-human identity sprawl is the real risk of Agentic AI
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Non-human identity sprawl is #AgenticAI's real risk
by Nick Nikols @InformationWeek Learn more: https://
bit.ly/4dyypRm #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning -

Book recommendation: AI Agents in Practice by Valentina Alto
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Another great book by @AltoValentina
, from @PacktDataML at http://
amzn.to/4p98LYl "AI Agents in Practice — Design, Implement, and Scale Autonomous #AI Systems for Production" Book Description (from Amazon): As AI agents evolve to take on complex tasks and operate -

New Book: Unlocking Data with Generative AI and RAG, 2nd Edition
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2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
amzn.to/49zsIkb -

New book on designing multi-agent AI systems with MCP and A2A
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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:
Introduction to Generative AI and AI -
AI Agents, MCPs, and Container Safety Mechanisms
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We use both together. In practice, for containers to be useful, you often have to punch some holes: GitHub, Anthropic API, kube, other MCPs. Auto mode makes interacting with these safer. It significantly reduces the risks of accidental data deletion, exfiltration, and prompt
