Mem-Forever 是做什么的？
Provide persistent memory for AI agents using the I-Lang protocol to enable data recall across different sessions and models.
利用I-Lang协议为AI智能体提供持久化记忆，使其能够在不同会话和模型间召回数据。
Whistlegenusvincetoxicum446/Mem-Forever 是一款专为AI智能体设计的持久化记忆技能，基于I-Lang协议实现跨会话、跨模型的数据召回。该技能解决了AI智能体在切换对话场景或模型时丢失上下文信息的问题，通过结构化的记忆存储和检索机制，确保智能体能够稳定访问历史数据。它在多个AI代理平台（如Claude Code、Cursor、Codex等）上均可使用，开发者只需集成I-Lang协议即可激活持久记忆功能。通过简化记忆管理，该技能显著提升了AI工作流的连续性和效率，适用于需要长期记忆支持的复杂任务场景。
npx skills add Whistlegenusvincetoxicum446/Mem-ForeverInstalled? 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 →
Provide persistent memory for AI agents using the I-Lang protocol to enable data recall across different sessions and models.
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.