🧪 Test?View on arXiv
Agentao: A Governed Local-First Runtime for Tool-Using LLM Agents
Jin Bo, Author 2, Author 3, Author 4, Author 5
governanceruntimetool-using agentslocal-first
2608.13574
Builder Relevance
1h ago80%
Abstract
Agentao presents a governed local-first runtime for tool-using LLM agents that enhances governance and auditability while mitigating risks associated with agent actions.
Reality Card
Core Claim
Agentao successfully separates model-generated action proposals from host-authorized execution, enhancing governance and safety in LLM agent operations.
Method / Result
Agentao introduces a layered architecture that includes a permission-mediated tool system and structured event interface.
Limitations
Agentao does not provide formal safety guarantees, which may limit confidence in its reproducibility and safety in critical applications.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.
No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.