awesome! mind submitting these via your agent? point it at agent-docs, and it it'll create tickets for us to work through 🙂
AGENTS
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Build your own agent with Cline SDK
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build your own agent now! → https://
cline.gg/sdk `npm i @cline/sdk` or give your agent the Cline SDK skill `npx skills add cline/sdk-skill` -
Cline SDK Launches with Agent Runtime and Benchmark Performance
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Cline SDK is live. Open source agent runtime, plugin system, hub-backed sessions, cron workflows.
— AI Highlight (@AIHighlight) 13 mai 2026
74.2% on Terminal Bench with Opus 4.7. Top of the leaderboard. https://t.co/CEcsCqMrzJCline SDK is live. Open source agent runtime, plugin system, hub-backed sessions, cron workflows. 74.2% on Terminal Bench with Opus 4.7. Top of the leaderboard.
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TACO: A New Training-Free Framework for Terminal AI Agents
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What if your terminal agent could learn to ignore the noise and keep only what matters? Researchers from University of Manchester, HKUST, and Beihang University present TACO — a plug-and-play, training-free framework that automatically discovers and refines compression rules
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Team of agents solving a physics problem
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watching a team of agents tackling a hard theoretical physics problem is quite mesmerizing – self-correcting, deriving hard equations, computing intermediate results, re-estimating the best approach https://t.co/EySjaCtUFZ pic.twitter.com/RhUmNXkGLB
— Thomas Wolf (@Thom_Wolf) 13 mai 2026Watching a team of agents tackle a challenging theoretical physics problem is quite mesmerizing—they self-correct, derive complex equations, compute intermediate results, and re-evaluate the best approach.
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Outils déterministes pour plus de sécurité des agents
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there are many agent use cases locked behind "what if" fears because after we give a tool to an agent, we're relying on the prompt to limit behavior tools like @denieddotdev allow teams to manage capability as a separate deterministic layer more safety enables more
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AI Agent Architecture for Persistent State and Context Management
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If you build anything that runs for longer than one session, this is an architecture to test. The agent holds its state, the workspace holds its context, and you stop re-explaining from scratch every time. Star the repo and get started https://
github.com/holaboss-ai/ho
laOS/releases
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holaOS Beta 0.1 Release Introduces Agent Computer Management Layer
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holaOS has shipped its beta 0.1 release, adding a management layer on top of its Agent Computer foundation: a Dashboard, Sub Agents, and Multi Workspaces. Each workstream gets its own isolated context, memory, and agent.
— 🚨 AI News | TestingCatalog (@testingcatalog) 13 mai 2026
No need to have a reset between sessions. The whole… pic.twitter.com/a7hLGBegADholaOS has shipped its beta 0.1 release, adding a management layer on top of its Agent Computer foundation: a Dashboard, Sub Agents, and Multi Workspaces. Each workstream gets its own isolated context, memory, and agent. No need to have a reset between sessions. The whole
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Grok AI’s Deep Understanding of Personal Data: Scary Implications and Agent Capabilities
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This will be an interesting problem. Go to Grok. Ask it "please simulate a conversation between Michael Mignano and Robert Scoble about the future of personal data." And it will. Very well. It knows me VERY DEEPLY. That is scary. But on the other hand, now my Agents know me
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Siri Rebuilt in iOS 27 as Always-On AI Agent with Chatbot Interface
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"Siri will be completely rebuilt in iOS 27, moving away from being a voice assistant and becoming an always-on agent that can tap into personal data and take action across apps. It’s also being redesigned to conduct back-and-forth conversations with a chatbot interface, matching