OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems
arXiv:2607.28629v1 Announce Type: new Abstract: The rapid transition from reactive large language models LLMs to persistent, actioncapable systems has exposed critical gaps in the architectural understanding of Agentic AI, particularly in separating inference, orchestration, and execution layers...
arXiv:2607.28629v1 Announce Type: new Abstract: The rapid transition from reactive large language models LLMs to persistent, actioncapable systems has exposed critical gaps in the architectural understanding of Agentic AI, particularly in separating inference, orchestration, and execution layers for autonomous AI agents. Despite recent advances, unified frameworks for designing and evaluating fullstack agentic systems remain limited.
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