AI Research

    Agentao: A Governed Local-First Runtime for Tool-Using LLM Agents

    Building safer, governable LLM agents through local-first runtime control and explicit permission architectures.

    LLM agents increasingly operate as execution systems that invoke tools, modify local state, use persistent memory, and interact with external protocols. These capabilities make agents useful, but they also introduce risks related to over-privileged actions, weak auditability, pro...

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    ArXiv CS.AI

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    ArXiv CS.AI
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    Agentao addresses critical security gaps in autonomous systems by introducing a governance layer that separates agent intent from actual host-level execution. This architecture moves us toward more reliable agent deployments by treating security permissions and audit trails as primary runtime abstractions.

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