KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill
OpenClaw has emerged as a leading agent framework for complex task automation, yet it faces insufficient cross-platform GUI interaction support and a well-built self-evolution mechanism. These flaws limit its adaptation to diverse device ecosystems and prevent performance improvements through continuous learning from execution experience. To resolve these issues, we propose the Know Deeply, Act Perfectly paradigm for personal assistants, which holds that accumulated user interaction and task-running experience directly improve execution accuracy and efficiency, unifying cognitive comprehension
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 57%the-open-agent/openagent →
- PossiblePossibly related (embedding) · 56%AgentCore-8B →
- PossiblePossibly related (embedding) · 55%xlang-ai/OSWorld →
- PossiblePossibly related (embedding) · 54%HybridAIOne/hybridclaw →
- PossiblePossibly related (embedding) · 54%digiteinfotech/kairon →
- LinkedLinked via arxiv author · 85%Yunxin Li →
“KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill”
- LinkedLinked via arxiv author · 85%Jinchao Li →
“KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill”
- LinkedLinked via arxiv author · 85%Shibo Su →
“KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill”