allan-mcp-memory-code 是做什么的？
使用本地 Docker 设置存储 AI 编码助手的持久知识图谱，并支持混合搜索和实体提取。
- 来源: https://github.com/gerrielxxvii307/allan-mcp-memory-code
- GitHub 星标: 0
- 最后推送: 2026-06-16T08:24:20Z
- 由 Awesome Skills 每日技能猎手于 2026-06-16 添加。
使用本地 Docker 设置存储 AI 编码助手的持久知识图谱，并支持混合搜索和实体提取。
该技能为 AI 编码助手（如 Claude 或 Cursor）提供了一个基于本地 Docker 的持久化知识图谱存储方案。它支持混合搜索（结合向量和关键词）和实体提取，能够有效维持编码会话中的长期上下文。用户无需依赖外部云服务，即可实现记忆持久化。主要面向需要持久化项目知识、代码库结构或用户偏好的开发者，尤其适用于本地优先的 AI 辅助工作流程。
npx skills add gerrielxxvii307/allan-mcp-memory-codeInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
使用本地 Docker 设置存储 AI 编码助手的持久知识图谱，并支持混合搜索和实体提取。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.