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LangMem으로 LangGraph 에이전트에 장기 메모리 추가

LangGraph 에이전트에 메모리 관리 및 검색 도구를 제공하여 세션 간에 내구성 있는 사실을 저장, 검색 및 업데이트할 수 있도록 합니다.

LangMem으로 LangGraph 에이전트에 장기 메모리 추가란 무엇인가요?

이 스킬은 LangMem 라이브러리를 활용하여 LangGraph 기반 AI 에이전트에 장기 메모리 기능을 추가합니다. 에이전트가 이전 대화 세션에서 배운 사실을 저장, 검색 및 업데이트할 수 있도록 하여 지속적인 학습과 개인화된 상호작용을 가능하게 합니다. LangMem은 LangGraph 및 LangChain 에이전트 런타임과 원활하게 통합되며, 프로덕션 환경에서는 Postgres와 같은 영구 저장소를 지원합니다. 에이전트는 메모리 관리 및 검색 도구를 통해 외부 메모리 저장소와 상호작용하며, LLM 제공자 API 키만 설정하면 몇 줄의 코드로 메모리 관리 기능을 갖춘 에이전트를 만들 수 있습니다.

지원 대상✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-managed-long-term-memory-to-langgraph-agents-with-langmem
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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문서

LangMem으로 LangGraph 에이전트에 장기 메모리 추가은(는) 무엇을 하나요?

LangGraph 에이전트에 메모리 관리 및 검색 도구를 제공하여 세션 간에 내구성 있는 사실을 저장, 검색 및 업데이트할 수 있도록 합니다.

필수 구성 요소

Python, langmem, LangGraph 또는 LangChain 에이전트 런타임, 프로덕션을 위한 Postgres와 같은 영구 저장소, LLM 제공자 API 키

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • pip install -U langmem

업스트림 요구 사항 및 주의 사항:

  • python

기본 사용법 및 시작하기 참고 사항:

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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act Local GitHub Actions Runner

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Add graph-backed memory and context retrieval to agent workflows

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Add IDE-style semantic code navigation and symbol-safe refactors

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Address GitHub PR review comments from the current branch with g

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Add runtime guardrails to TypeScript agents with VoltAgent

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Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

Adobe Photoshop API Batch Processor

Automates image editing workflows via the Adobe Photoshop API (Firefly Services). Supports smart object replacement, action playback, and PSD layer manipulation at scale.

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