ClickUp's AI Brain will soon be able to build fully interactive apps from a single prompt, with live data integrations. Some examples > Sprint tracker – to reshape your team operations into an analytics dashboard for stakeholders. > CRM tool – to have a custom dashboard
AGENTS
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On agents estimating expectations and the role of rewards
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An agent estimating probabilities on how to act is mathematically estimating expectations over sets. So it can learn expected returns or value signals. But, again, that is NOT how rewards are used in modern AI. In AI rewards are often defined and created by humans. This, at its
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Anthropic Announces Self-Hosted Sandboxes for Claude Agents
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Anthropic announced self-hosted sendboxes and MCP tunnels for Claude Managed Agents during its "Code with Claude" event in London.
— 🚨 AI News | TestingCatalog (@testingcatalog) 19 mai 2026
> With self-hosted sandboxes, you keep sensitive files, packages, and services in your own infrastructure or with a managed sandbox provider.
>… https://t.co/Nap7QEosHO pic.twitter.com/AeSO0QMOpTAnthropic announced self-hosted sendboxes and MCP tunnels for Claude Managed Agents during its "Code with Claude" event in London. > With self-hosted sandboxes, you keep sensitive files, packages, and services in your own infrastructure or with a managed sandbox provider. >
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PolyAI Opens Platform for Rapid AI Agent Deployment
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PolyAI opened their platform . Two months free, ten minutes from sign up to a deployed agent. The infrastructure is the same one running calls for Marriott, FedEx, and most of Vegas.
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Multi-agent system that iterates on game mechanics
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Can AI truly iterate on game mechanics, not just generate one-off code? CreativeGame Team (Univ. of Bristol, SJTU, Shandong Univ., Nanjing Univ., Sreal AI) built a multi‑agent system that treats game mechanics as explicit objects. It uses programmatic rewards (not subjective
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SmallCode: A Terminal-Native Coding Agent for Local AI Models
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SmallCode is a terminal-native coding agent designed from the ground up to extract useful work from local models (7B-20B) running on consumer hardware.
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Running local terminal AI agents with Ollama
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It runs locally without any cost. SmallCode is not a model. It's a terminal agent. Here's Gemma 4 model on @ollama
: https://
ollama.com/library/gemma4 I'd suggest to read the post before commenting LOL -
Local AI coding agent workflow with Hermes orchestrator
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LOCAL AI coding agent finally make sense with Hermes orchestrator. Hermes routes work through Kanban. SmallCode uses Ollama models on a Mac mini for scoped patches, tests, and repo cleanup. Claude and Codex do the heavy lifting. All of it tracked in a single Kanban board.
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Jensen Huang on Dell Deskside Agentic AI and Practicality
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This feels like the enterprise AI conversation getting very real. When Jensen Huang talks about Dell Deskside Agentic AI, the key for me is practicality: secure local agents, open sandboxed environments, Dell infrastructure, and services that help teams actually get to
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Manus AI Agent Adds Persistent Memory for Recurring Tasks
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🆕 Manus just dropped Scheduled Tasks 2.0 – and it's not just "run this again at 9 AM."
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 19 mai 2026
Now your recurring tasks carry full context. Same conversation. Same files. Same project setup.
Your AI agent finally has memory between runs.
🔗 https://t.co/RaCxZrv5vK#Manus #AITools… pic.twitter.com/tnZpQIv4INManus just dropped Scheduled Tasks 2.0 – and it's not just "run this again at 9 AM." Now your recurring tasks carry full context. Same conversation. Same files. Same project setup. Your AI agent finally has memory between runs. https://
manus.im/blog/manus-sch
edules
… #Manus #AITools