Yeah manual curation doesn't scale. The LLM curation agent handles it automatically
AGENTS
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OpenClaw Long-Term Memory Enhancement for Agent Workflows
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Give OpenClaw long-term memory that actually works! OpenClaw agents are powerful for dev work – scheduled workflows, automated testing, continuous monitoring of codebases. But there's a memory problem. Across sessions, OpenClaw's auto-memory gets stored by day in
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Agentic AI Periodic Table: Memory, Planning, Tools, Safety
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Agentic AI has a “Periodic Table.” It includes: LLM, RL, RAG
PLAN, MAS, LTM
SAFE, TEST, HUMAN
A2A, CREW, NET
HR, MKT, LEGAL use cases Autonomous AI = memory + planning + tools + safety + collaboration. It’s an ecosystem, not a feature. Credit: Prem Natarajan #AgenticAI -
AI Automation Dramatically Reduces Data Entry Time and Costs
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RÉSULTAT ATTENDU Avant ce prompt : 15-20h de saisie manuelle
Risques d'erreurs humaines
Ennui mortel
Coût comptable : 500-1500€ Après ce prompt : 20 minutes de traitement
90% du travail automatisé
Données structurées prêtes
Coût : 0€ (ou coût Claude API minimal) Économie : -
AI model efficiently categorizes a year of financial transactions in minutes
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C'est DINGUE. J'ai uploadé mes relevés bancaires à Claude Opus 4.6. Il a analysé une année complète de transactions, séparé revenus et dépenses, et tout catégorisé. 20 minutes plus tard, la comptabilité était terminée.
Environ 11 000€ de travail comptable réglé en une -
Autonomous React Loop: Key Difference in AI Agent Architecture
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Yeah, the react loop being done autonomously is basically the main difference !
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Fudan study warns AI agents’ overconfidence risks
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BREAKING: Fudan just proved training AI agents makes them dangerously certain they're right. Wrong environment. Wrong confidence. Silent failures everywhere.
You won't know until something breaks. > Fudan University trained AI agents across 5 different environments web -
AI Agents Change Computing Demand Beyond Bubbles
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Agents Over Bubbles Agents are fundamentally changing the shape of demand for compute, both in terms of how they work and in terms of who will use them. They're so compelling that I no longer believe we're in a bubble. https://stratechery.com/2026/agents-over-bubbles/ [Translated from EN to English]
→ View original post on X — @benthompson, 2026-03-16 10:01 UTC
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Security concerns and cloud-based solutions for local AI agents
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El otro día leí sobre alguien que descargó un agente de IA local y terminó con malware en su portátil. No es un caso aislado. Por eso me pasé a MuleRun: opera en un entorno cloud aislado, sin acceso a tus contraseñas ni archivos locales. Separación física real. La seguridad no… https://t.co/PWVDTaFySc
— SONIA (@S0N_IA_) 16 mars 2026The other day I read about someone who downloaded a local AI agent and ended up with malware on their laptop. It's not an isolated case. That's why I switched to MuleRun: it runs in an isolated cloud environment, with no access to your passwords or local files. Real physical
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AI Automation Limits: Testing Claude Coworking Chains and Judgment
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my version of 2 is “the stuff that AI just oneshotted, what was the immediate action or thought just before or after you handed over to ai” – for me specifically claude cowork. i end up chaining more and more things and testing the limits of the automation and judgment and