Qdrant 推出 LangGraph 长期记忆存储集成
Qdrant 给 LangGraph 做了个记忆存储集成，让智能体跨会话记住上下文，靠语义检索而不是关键词匹配，做 Agent 的开发者可以试试。
LangGraph 的长期记忆功能允许智能体跨会话存储和召回信息。Qdrant 现在可以作为其记忆系统的存储层，通过 vector-native 存储提供语义搜索能力。开发者可以存储用户偏好、历史交互等上下文，智能体根据语义而非精确匹配检索相关记忆。
Your AI agents need memory that lasts beyond a single conversation. LangGraph supports long-term memory, allowing agents to store information and recall it across conversations. Now, you can use Qdrant as the storage layer with our new memory store integration. Qdrant brings vector-native storage and semantic search to LangGraph’s memory system, so agents can retrieve relevant memories based on meaning, not just exact matches. You can store user preferences, past interactions, and other useful context, then retrieve what matters when the agent needs it. 💬 1 🔄 1 ❤️ 3 👀 323 📊 2 ⚡