memory-stack-gungun - AI 记忆栈

AI 记忆栈架构 - 符合 2026 前沿的 AI 记忆系统。微调+RAG+ 上下文三层设计，mirrors 人类记忆工作方式。

This package is an architecture and how-to doc, not runnable code. Before installing or using it: 1) Verify provenance — check the referenced GitHub repo and confirm the claimed 187-file knowledge base exists and you trust it. 2) Expect to install third-party Python packages (langchain, chroma, embeddings) and to provide API keys (e.g., OpenAI) even though the skill metadata did not declare them. 3) Be aware it recommends creating persistent files under ~/.openclaw — store these in a sandboxed/isolated workspace if the data or knowledge is sensitive. 4) Clarify what '自动更新' or '推广' means operationally — avoid granting automated network updates or arbitrary promotion scripts without review. 5) If you plan to run its examples, supply credentials only to processes you control and audit any code you run that interacts with external APIs or persists user data.

Type: OpenClaw Skill Name: memory-stack-gungun Version: 1.0.0 The skill bundle contains architectural documentation and conceptual Python examples for an AI memory management system (Memory Stack). It describes a three-layer approach using local files (e.g., SOUL.md, HOT_MEMORY.md) and RAG principles. There is no executable code, no evidence of data exfiltration, and no malicious instructions targeting the agent or the host system.