Agents in the Large: Perception-Centered Architecture for Persistent Agents
- 类型：arxiv
- 标识：2608.30478
- 链接：http://arxiv.org/abs/2608.30478v1
- 主分类：agent
- 形态：method
- TLDR：Cognitive language agents have achieved substantial progress by equipping language models with memory, tools, and decision-making procedures, enabling agents to reason and act in interactive environments. Existing frameworks largely cast these agents as systems for solving user-specified, bounded tasks. An increasingly important goal is for language agents to provide persistent assistance in long-lived settings where user needs, context, and service procedures persist and change, and to remain useful across the broad range of tasks that arise over time. Yet we still lack a framework to charact
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-09-01-agent-rag-longcontext-candidates.json