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AI agent frameworks

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    Nvidia has introduced the Open Agent Safety Platform, a reference framework for continuous in-silicon monitoring of AI agents. The platform aims to let developers observe agent behaviour at the hardware level, adding a safety and oversight layer as companies deploy autonomous AI systems more widely in production environments.

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    Hacker News debate: least-privilege access for AI agents to cloud files●Ask HN: Allow agents access to cloud files with least privilege?YhnEnvironment641 min ago

    A Hacker News discussion asks whether AI agents should be granted access to cloud-stored files under least-privilege principles, limiting what each agent can read or write. Commenters are weighing how to scope permissions for autonomous tools without exposing sensitive data, and whether existing identity and access management frameworks are adequate for machine agents.

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    PraisonAI Agent Framework Shipped With Authentication Disabled▼PraisonAI’s Open-Source Agent Framework Shipped With Auth Disabled — Attackers Probed It in Under 4 Hours✉newsTechnologySoftware51 min ago

    PraisonAI, an open-source framework for building AI agents, reportedly shipped with authentication turned off by default, and attackers reportedly began probing exposed instances within four hours of deployment. The incident highlights a broader security problem as developers rapidly adopt AI agent tools without securing them. Security watchers are urging teams to enable authentication and avoid exposing such frameworks directly to the internet.

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    AI agents are beginning to call each other, experts worry●Agents are starting to call each other. Nobody gave them receipts. Every agent framework is racing toward the same futurMmastodonTechnologyAI27 h ago

    AI developers say agent-to-agent communication is becoming the next frontier, with every major agent framework racing to build systems where one AI agent can call another. Protocols like MCP servers and agent marketplaces are being pushed forward, but critics note there is little verification, auditing or accountability when agents interact with no human oversight.

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