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Glama

CodeNeuro

面向 Coding Agent 的任务、需求和规则上下文 Hub,提供 Web 工作台与 MCP 接口。

  • 按 Project → Requirement → Task 管理整体业务目标和可独立开发、验证的子任务。

  • 按业务主题或文件范围检索规则,显式选择 P0–P3 优先级。

  • 管理规则审阅、测试证据、下发记录与反馈。

安装与启动

需要 Python 3.11+。在仓库目录执行:

uv venv
uv pip install --python .venv/bin/python -r requirements.txt

# 初始化新数据库
.venv/bin/python -m codeneuro init-db --db /absolute/path/codeneuro.db

# 启动 Hub
.venv/bin/python -m codeneuro serve --db /absolute/path/codeneuro.db

Windows 将 .venv/bin/python 替换为 .venv/Scripts/python.exe。

打开 http://127.0.0.1:8801/app/,注册项目后即可使用工作台。所有子任务验证完成后,需求等待用户整体验收。Agent 直接传项目和任务,无需创建或关闭 Session。

代码只维护当前模型和接口。已有本地数据用一次性迁移脚本转入新库,原库保留;操作说明见需求与任务设计。

Related MCP server: uacos

MCP 接入

支持 stdio MCP 的客户端可配置:

{
  "mcpServers": {
    "codeneuro": {
      "command": "/absolute/path/to/python",
      "args": ["-m", "codeneuro", "mcp", "--db", "/absolute/path/codeneuro.db"]
    }
  }
}

Hub 的 Streamable HTTP MCP 地址为 http://127.0.0.1:8801/mcp/。详细使用见 客户端接入与使用。

使用边界

  • Web API 和 MCP 无鉴权,默认仅监听本机,不应直接暴露公网。

  • Agent 主动查询上下文;Hub 不拦截文件操作,也不替 Agent 执行编码或测试。

  • 规则以 Hub 数据库为准,不向工作区生成规则文件副本。

文档

Maintenance

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