You can! (unless you're using the efficient model, which uses a different agent architecture that can't swap between models)
AGENTS
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airjellyAI: Personal Context Assistant Across Apps
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Now, this is a crazy new assistant. @airjellyAI helps you remember, connect, and act on your personal context across different apps. It can read your emails, look at your calendars, and even read X like you do.
— Robert Scoble (@Scobleizer) 22 avril 2026
How does it compare with other "computer" approaches? Well, it is… https://t.co/dKnoqzpeXBNow, this is a crazy new assistant. @airjellyAI helps you remember, connect, and act on your personal context across different apps. It can read your emails, look at your calendars, and even read X like you do. How does it compare with other "computer" approaches? Well, it is
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Self-Improving AI Agent Live 24/7 Native Interface
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Nice: One click and your self-improving AI agent is live 24/7 – main tagline
— Chubby♨️ (@kimmonismus) 22 avril 2026
Full Hermes power, zero terminal
43,200+ stars Hermes agent, now in a native interface
Your 24/7 coworker, live! :)) https://t.co/j1yJHMRzeaNice: One click and your self-improving AI agent is live 24/7 – main tagline
Full Hermes power, zero terminal 43,200+ stars Hermes agent, now in a native interface Your 24/7 coworker, live! :)) -
@testingcatalog — 2026-04-22
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Hermes Agent runs locally, data stays on your device, free with your own API keys. Your 24/7 AI coworker is one click away. Test it out
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Atomic Bot integrates Hermes Agent with one click
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Atomic Bot has integrated Hermes Agent, an open-source AI agent with 100k+ GitHub stars and a memory architecture that improves over time. The problem has always been setup, and Atomic Bot aims to simplify it. With one click, no terminal, no Docker, no SSH. Hermes is live on
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Seven Years of AI Prompting: A Simple Framework
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I've spent seven years prompting AI systems. Here's the simple framework I'd give a friend to help them get the most out of AI agents:
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AI Agents Need Fast Inference Speed for Continuous Reasoning Loops
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AI agents don’t just answer once, they loop, reason, and keep going.
— SambaNova (@SambaNovaAI) 21 avril 2026
That’s why inference speed actually matters. Every step adds latency.
Premium inference is about keeping it all moving at 200+ t/s without breaking efficiency.
🔗 Read more: https://t.co/LKvL4KshaF pic.twitter.com/L6wPxk6ahWAI agents don’t just answer once, they loop, reason, and keep going. That’s why inference speed actually matters. Every step adds latency. Premium inference is about keeping it all moving at 200+ t/s without breaking efficiency. Read more: https://
sambanova.ai/blog/sambanova
-and-intel-blog?utm_source=x&utm_medium=organic&utm_content=blog-announcement
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Claude Code Integration Transforms Max and Agent Workflows
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Since then, we bundled Claude Code into Max and it took off after Opus 4. Cowork landed. Long-running async agents are now everyday workflows. The way people actually use a Claude subscription has changed fundamentally.
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Model Search Behavior in Agentic AI Systems Lacks Relevance
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But then the search attempt it makes prior to generating during the Thinking step has zero relevance, and that doesn't sit right with me. The model is already agentic enough to search for the relevant and correct info to pass it to the image model's context, and it's not doing
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Agent S generates images and designs UI slides
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Try it: https://
agent-s.app, and just ask it to generate you some images, or design a UI/slides for you!