# 1. 安装
pip install mindcore-memory

# 2. 启动 MCP Server
mindcore-memory

# 3. 在你的 AI Agent 中调用
memory_id = memory_store("用户说他叫张三，周三有空")
context = memory_recall("用户的时间安排")

✅ Storage Integrity:     100% (存储持久化正确)
✅ Recall Relevance:      100% (相关记忆优先召回)
✅ Confidence Calibration: 100% (置信度正确校准)
✅ Importance Weighting:  100% (高优先级记忆排名靠前)
✅ Context Efficiency:    100% (上下文窗口不过载)

Overall Score: 100%

memory_store(
    content="Python是荷兰人Guido van Rossum创建的",
    importance=3,        # 1-4级重要性
    tags=["python", "history"],
    confidence=0.95,      # 置信度
    source="agent"       # agent/user/tool
)

memory_recall(
    query="Python创始人是谁",
    tags=["python"],      # 可选标签过滤
    limit=10             # 返回数量
)

# 为当前任务构建最优上下文（自动去重+优先级排序）
context = memory_context(
    query="当前项目状态",
    max_tokens=2000      # 自动截断
)

# 查看记忆统计：总数/分布/置信度
stats = memory_stats()

mindcore-memory-mcp/
├── src/
│   ├── memory_engine.py      # 核心记忆引擎
│   ├── server.py             # MCP Server（stdio+HTTP双传输）
│   ├── http_app.py           # HTTP端点（生产部署）
│   └── eval_framework.py     # 评测框架
├── tests/
│   └── test_memory.py        # 单元测试
├── .github/workflows/
│   └── ci.yml                # CI/CD
├── pyproject.toml
├── README.md
└── LICENSE

{
  "mcpServers": {
    "mindcore-memory": {
      "command": "pip",
      "args": ["install", "--editable", "."]
    }
  }
}

curl -X POST http://localhost:8080/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"memory_store","arguments":{"content":"test"}},"id":1}'