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MotionOS Aims to End AI Agent Amnesia with Persistent Semantic Memory Engine

MotionOS introduces a specialized operating system layer designed to give AI agents persistent, semantically-aware memory and timeline reasoning. Built on pgvector and Go for sub-100ms retrieval, it tackles the critical limitation of context loss plaguing current agent architectures. The platform offers versioned memories, causal relationship tracking, and intelligent recall based on meaning, recency, and importance.
Claude Code Opens to OpenRouter: Flexibility Comes to AI-Powered Development

Claude Code Opens to OpenRouter: Flexibility Comes to AI-Powered Development

Claude Code now integrates directly with OpenRouter, enabling developers to leverage alternative AI models like GPT-5.1 or Exacto while retaining Claude's powerful tool-use capabilities. This shift decouples the agentic coding environment from Anthropic's ecosystem, offering unprecedented flexibility in model selection.
mcp-agent: Revolutionizing AI Agent Development with Model Context Protocol

mcp-agent: Revolutionizing AI Agent Development with Model Context Protocol

Anthropic-inspired mcp-agent framework brings composable patterns and production-grade durability to AI agent development using Model Context Protocol. This Python toolkit simplifies building agents that leverage tools like filesystems and web APIs while enabling enterprise features like Temporal-based workflow recovery.
AI Agents: The Looming Identity Crisis in Enterprise Security

AI Agents: The Looming Identity Crisis in Enterprise Security

Palo Alto Networks CEO Nikesh Arora warns that current identity management systems are fundamentally unprepared for the rise of AI agents accessing corporate resources. As organizations deploy autonomous AI workers, fragmented security protocols create dangerous blind spots that malicious actors are already exploiting. The solution may paradoxically lie in using AI-powered security agents to defend against rogue AI threats.