Use when: need to store structured memory, remember people/projects/tasks/entities, recall context from previous sessions, build knowledge graph, manage ontology, track entities and their relations. Invokes the 'memory' MCP server to persist knowledge between conversations.
利用 memory MCP server 维护一个结构化知识图谱，跨对话持久记住：
memory（已配置于 .vscode/mcp.json）memory/create_entities 创建实体节点memory/create_relations 建立实体关联memory/add_observations 添加观察笔记memory/search_nodes 检索相关记忆Person: {name, role, contact, expertise[]}
Project: {name, path, tech_stack[], status, owner}
Task: {title, priority, status, assignee, due_date}
Decision: {description, rationale, date, affected_modules[]}
Algorithm:{name, paper_ref, status, weight_in_fusion}
用户: 记住张三负责前端，李四负责算法引擎
→ 创建 Person(张三, role=frontend), Person(李四, role=algorithm)
→ 创建关系: 张三-OWNS-kl8-frontend, 李四-OWNS-backend/src/core
用户: KL8 系统中哪个引擎权重最高？
→ 搜索 Algorithm entities, 返回 BayesianEngine(0.20), TransferEntropyEngine(0.18)