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)