LangMem SDK for Agent Long-Term Memory

**LangMem SDK for Agent Long-Term Memory**

Introduction Large language model-powered AI agents traditionally have one critical drawback: they have extremely limited memory. By default, an LLM can only remember what’s in the context window (chat history) or conversation. That means they quickly “forget” previously learned information at the end of a session or when they hit a token context limit, and are completely stateless across interactions. LangMem SDK addresses this limitation by introducing persistent long-term memory. Agents powered with LangMem can learn and grow over time, remembering past interactions, key facts, preferences, and more across multiple sessions...

---

**[devsupporter 해설]**

이 기사는 DigitalOcean에서 제공하는 최신 개발 동향입니다. 관련 도구나 기술에 대해 더 알아보시려면 원본 링크를 참고하세요.