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external memory for AI coding agents","maintainers":[{"name":"askdkc","email":"askdkc@gmail.com"}],"readme":"# Kiokuko（记忆库）\n\n1.0 不再支持旧数据库，请使用新数据库。参见[破坏性变更与旧配置清理](docs/breaking-changes-1.0.md)。\n\n[English](README.md) | [日本語](README.ja.md) | 简体中文 | [한국어](README.ko.md)\n\n**通过 MCP 连接，检索需要的记忆，并在工作后积累知识。**\n\nKiokuko 是面向 AI 编程代理的本地外部记忆。它把知识保存在 SQLite 中，在下一次任务中检索相关上下文，\n并保存可复用的工作结果。\n\n```text\n请求 → MCP 连接 → 检索相关记忆 → 完成工作\n                              ↓\n                         保存可复用知识\n```\n\n记忆分为 Project、Ecosystem 和 Global。当前代码、配置和运行结果优先于历史记忆。\n\n## 快速开始\n\n需要 Node.js 24.16.0 或更高版本（也支持 Node.js 26.1.0 或更高版本）。\n\n```bash\nnpm install --global @askdkc/kiokuko\nkiokuko setup\n```\n\n`setup` 会初始化数据库、检测支持的客户端、安装标准 Skill 并配置 MCP。已运行的客户端请在设置后重启。\n精确配置和恢复规则请参阅[英文 Getting started](docs/getting-started.md)。\n\n## 主要功能\n\n- RAG 记忆（默认 lexical，可选本地 semantic 检索）\n- Akinator 让模糊请求先变得具体\n- 本地 Web UI 用于检查和整理记忆\n- 外部 Skill 仅作为经过验证的参考，绝不自动执行\n\n可选的 semantic 检索使用与 `setup` 相同的客户端配置流程：\n\n```bash\nkiokuko embeddings setup\n```\n\n它会更新 managed MCP block 和项目 instructions。替换 unmanaged identity 需要交互确认；非交互或 `--dry-run --json`\n执行会在不修改配置的情况下 fail closed。详见[英文 semantic retrieval](docs/semantic-retrieval.md)。\n\n## 支持的客户端\n\nCodex、OpenCode、Claude Code、Hermes Agent。\n\n## 安全性与限制\n\nKiokuko 不保存完整对话，并拒绝看起来像密码、API key、token 或私钥的内容。记忆只是参考信息，应以当前代码和运行结果为准。\n\nMCP 是否调用由客户端和模型决定，**不保证每一轮都会调用 Kiokuko**。详细安全边界请看[英文 Security and trust](docs/security-and-trust.md)。\n\n## 详细文档\n\n请从[英文文档目录](docs/README.md)开始；其中链接到 Getting started、Concepts、Semantic retrieval、Security and trust，\n以及实现者用的 architecture、database、execution-ledger 和 client-compatibility 文档。\n","readmeFilename":"README.zh-CN.md"}