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Strengthening Security and Verification Layers Amidst Complex AI Agents

The collected data indicates that AI coding agents and automation workflows are evolving beyond simple command execution, moving toward transferring local system context and handling complex business processes. This increasing complexity inherently raises security vulnerabilities and reliability concerns. Consequently, establishing multi-layered safeguards—such as 'full-stack formal verification' or pre-execution allowlisting—is emerging as a core technical trend. Furthermore, even RAG systems require explicit trust boundaries set at the application level rather than relying solely on basic implementation.

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Dev.toOctober 10, 2026

An Almost Infinite Long-Term Memory Composed of Plain Text and JSON Files

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본 글은 에이전트에게 장기 메모리를 제공하는 'Infinite Hierarchical Memory Tree(IHMT)'라는 시스템을 소개합니다. 이 시스템은 디스크 상의 평문 파일 트리 구조를 활용하여, 모든 세션에서 일관되고 효율적인 지식 검색을 가능하게 합니다. 단순히 큰 텍스트 파일을 붙여넣는 방식과 달리, IHMT는 JSON 브랜치와 TXT 리프를 계층적으로 구성하여 토큰 비용과 검색 속도를 최적화합니다.

long-term-memory
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ihmt
json
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Strengthening Security and Verification Layers Amidst Complex AI Agents

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Strengthening Security and Verification Layers Amidst Complex AI Agents

An Almost Infinite Long-Term Memory Composed of Plain Text and JSON Files

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