# plur - Doramagic AI Context Pack

> 定位：安装前体验与判断资产。它帮助宿主 AI 有一个好的开始，但不代表已经安装、执行或验证目标项目。

## 充分原则

- **充分原则，不是压缩原则**：AI Context Pack 应该充分到让宿主 AI 在开工前理解项目价值、能力边界、使用入口、风险和证据来源；它可以分层组织，但不以最短摘要为目标。
- **压缩策略**：只压缩噪声和重复内容，不压缩会影响判断和开工质量的上下文。

## 给宿主 AI 的使用方式

你正在读取 Doramagic 为 plur 编译的 AI Context Pack。请把它当作开工前上下文：帮助用户理解适合谁、能做什么、如何开始、哪些必须安装后验证、风险在哪里。不要声称你已经安装、运行或执行了目标项目。

## Claim 消费规则

- **事实来源**：Repo Evidence + Claim/Evidence Graph；Human Wiki 只提供显著性、术语和叙事结构。
- **事实最低状态**：`supported`
- `supported`：可以作为项目事实使用，但回答中必须引用 claim_id 和证据路径。
- `weak`：只能作为低置信度线索，必须要求用户继续核实。
- `inferred`：只能用于风险提示或待确认问题，不能包装成项目事实。
- `unverified`：不得作为事实使用，应明确说证据不足。
- `contradicted`：必须展示冲突来源，不得替用户强行选择一个版本。

## 它最适合谁

- **正在使用 Claude/Codex/Cursor/Gemini 等宿主 AI 的开发者**：README 或插件配置提到多个宿主 AI。 证据：`README.md` Claim：`clm_0004` supported 0.86
- **希望把专业流程带进宿主 AI 的用户**：仓库包含 Skill 文档。 证据：`packages/claw/clawhub/SKILL.md`, `packages/mcp/packs/effective-memory/SKILL.md`, `skills/plur-memory/SKILL.md`, `skills/plur-session-end/SKILL.md` Claim：`clm_0005` supported 0.86

## 它能做什么

- **AI Skill / Agent 指令资产库**（可做安装前预览）：项目包含可被宿主 AI 读取的 Skill 或 Agent 指令文件，可用于把专业流程带入 Claude、Codex、Cursor 等宿主。 证据：`packages/claw/clawhub/SKILL.md`, `packages/mcp/packs/effective-memory/SKILL.md`, `skills/plur-memory/SKILL.md`, `skills/plur-session-end/SKILL.md` Claim：`clm_0001` supported 0.86
- **多宿主安装与分发**（需要安装后验证）：项目包含插件或 marketplace 配置，说明它面向一个或多个 AI 宿主的安装和分发。 证据：`.claude-plugin/plugin.json`, `packages/claw/openclaw.plugin.json` Claim：`clm_0002` supported 0.86
- **命令行启动或安装流程**（需要安装后验证）：项目文档中存在可执行命令，真实使用需要在本地或宿主环境中运行这些命令。 证据：`CLAUDE.md`, `README.md`, `packages/claw/README.md`, `packages/cli/README.md` 等 Claim：`clm_0003` supported 0.86

## 怎么开始

- `npx @plur-ai/mcp init` 证据：`README.md` Claim：`clm_0006` supported 0.86
- `npx @plur-ai/cli init --domain myapp --scope project:my-app` 证据：`README.md` Claim：`clm_0007` supported 0.86
- `npm install -g @plur-ai/mcp` 证据：`README.md` Claim：`clm_0008` supported 0.86
- `pip install plur-hermes` 证据：`README.md` Claim：`clm_0009` supported 0.86
- `npm install -g @plur-ai/cli` 证据：`README.md` Claim：`clm_0010` supported 0.86, `clm_0012` supported 0.86
- `pip install plur-ai` 证据：`README.md` Claim：`clm_0011` supported 0.86
- `npm install -g @plur-ai/cli   # bridge (required)` 证据：`README.md` Claim：`clm_0012` supported 0.86
- `git clone https://github.com/plur-ai/plur.git` 证据：`README.md` Claim：`clm_0013` supported 0.86
- `npx @plur-ai/claw setup` 证据：`packages/claw/README.md` Claim：`clm_0014` supported 0.86, `clm_0016` supported 0.86
- `npx @plur-ai/claw doctor          # read-only: reports which step is failing` 证据：`packages/claw/README.md` Claim：`clm_0015` supported 0.86

## 继续前判断卡

- **当前建议**：需要管理员/安全审批
- **为什么**：继续前可能涉及密钥、账号、外部服务或敏感上下文，建议先经过管理员或安全审批。

### 30 秒判断

- **现在怎么做**：需要管理员/安全审批
- **最小安全下一步**：先跑 Prompt Preview；若涉及凭证或企业环境，先审批再试装
- **先别相信**：工具权限边界不能在安装前相信。
- **继续会触碰**：命令执行、宿主 AI 配置、本地环境或项目文件

### 现在可以相信

- **适合人群线索：正在使用 Claude/Codex/Cursor/Gemini 等宿主 AI 的开发者**（supported）：有 supported claim 或项目证据支撑，但仍不等于真实安装效果。 证据：`README.md` Claim：`clm_0004` supported 0.86
- **适合人群线索：希望把专业流程带进宿主 AI 的用户**（supported）：有 supported claim 或项目证据支撑，但仍不等于真实安装效果。 证据：`packages/claw/clawhub/SKILL.md`, `packages/mcp/packs/effective-memory/SKILL.md`, `skills/plur-memory/SKILL.md`, `skills/plur-session-end/SKILL.md` Claim：`clm_0005` supported 0.86
- **能力存在：AI Skill / Agent 指令资产库**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`packages/claw/clawhub/SKILL.md`, `packages/mcp/packs/effective-memory/SKILL.md`, `skills/plur-memory/SKILL.md`, `skills/plur-session-end/SKILL.md` Claim：`clm_0001` supported 0.86
- **能力存在：多宿主安装与分发**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`.claude-plugin/plugin.json`, `packages/claw/openclaw.plugin.json` Claim：`clm_0002` supported 0.86
- **能力存在：命令行启动或安装流程**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`CLAUDE.md`, `README.md`, `packages/claw/README.md`, `packages/cli/README.md` 等 Claim：`clm_0003` supported 0.86
- **存在 Quick Start / 安装命令线索**（supported）：可以相信项目文档出现过启动或安装入口；不要因此直接在主力环境运行。 证据：`README.md` Claim：`clm_0006` supported 0.86

### 现在还不能相信

- **工具权限边界不能在安装前相信。**（unverified）：MCP/tool 类项目通常会触碰文件、网络、浏览器或外部 API，必须真实检查权限和日志。
- **真实输出质量不能在安装前相信。**（unverified）：Prompt Preview 只能展示引导方式，不能证明真实项目中的结果质量。
- **宿主 AI 版本兼容性不能在安装前相信。**（unverified）：Claude、Cursor、Codex、Gemini 等宿主加载规则和版本差异必须在真实环境验证。
- **不会污染现有宿主 AI 行为，不能直接相信。**（inferred）：Skill、plugin、AGENTS/CLAUDE/GEMINI 指令可能改变宿主 AI 的默认行为。 证据：`.claude-plugin/plugin.json`, `CLAUDE.md`, `packages/claw/clawhub/SKILL.md`, `packages/claw/openclaw.plugin.json` 等
- **可安全回滚不能默认相信。**（unverified）：除非项目明确提供卸载和恢复说明，否则必须先在隔离环境验证。
- **真实安装后是否与用户当前宿主 AI 版本兼容？**（unverified）：兼容性只能通过实际宿主环境验证。 证据：`.claude-plugin/plugin.json`, `packages/claw/openclaw.plugin.json`
- **项目输出质量是否满足用户具体任务？**（unverified）：安装前预览只能展示流程和边界，不能替代真实评测。
- **安装命令是否需要网络、权限或全局写入？**（unverified）：这影响企业环境和个人环境的安装风险。 证据：`README.md`

### 继续会触碰什么

- **命令执行**：包管理器、网络下载、本地插件目录、项目配置或用户主目录。 原因：运行第一条命令就可能产生环境改动；必须先判断是否值得跑。 证据：`CLAUDE.md`, `README.md`, `packages/claw/README.md`, `packages/cli/README.md` 等
- **宿主 AI 配置**：Claude/Codex/Cursor/Gemini/OpenCode 等宿主的 plugin、Skill 或规则加载配置。 原因：宿主配置会改变 AI 后续工作方式，可能和用户已有规则冲突。 证据：`.claude-plugin/plugin.json`, `CLAUDE.md`, `packages/claw/clawhub/SKILL.md`, `packages/claw/openclaw.plugin.json` 等
- **本地环境或项目文件**：安装结果、插件缓存、项目配置或本地依赖目录。 原因：安装前无法证明写入范围和回滚方式，需要隔离验证。 证据：`.claude-plugin/plugin.json`, `CLAUDE.md`, `README.md`, `packages/claw/README.md` 等
- **环境变量 / API Key**：项目入口文档明确出现 API key、token、secret 或账号凭证配置。 原因：如果真实安装需要凭证，应先使用测试凭证并经过权限/合规判断。 证据：`CLAUDE.md`, `docs/test-pyramid.md`, `packages/hermes/test/test_learner.py`
- **宿主 AI 上下文**：AI Context Pack、Prompt Preview、Skill 路由、风险规则和项目事实。 原因：导入上下文会影响宿主 AI 后续判断，必须避免把未验证项包装成事实。

### 最小安全下一步

- **先跑 Prompt Preview**：用安装前交互式试用判断工作方式是否匹配，不需要授权或改环境。（适用：任何项目都适用，尤其是输出质量未知时。）
- **只在隔离目录或测试账号试装**：避免安装命令污染主力宿主 AI、真实项目或用户主目录。（适用：存在命令执行、插件配置或本地写入线索时。）
- **先备份宿主 AI 配置**：Skill、plugin、规则文件可能改变 Claude/Cursor/Codex 的默认行为。（适用：存在插件 manifest、Skill 或宿主规则入口时。）
- **不要使用真实生产凭证**：环境变量/API key 一旦进入宿主或工具链，可能产生账号和合规风险。（适用：出现 API、TOKEN、KEY、SECRET 等环境线索时。）
- **安装后只验证一个最小任务**：先验证加载、兼容、输出质量和回滚，再决定是否深用。（适用：准备从试用进入真实工作流时。）

### 退出方式

- **保留安装前状态**：记录原始宿主配置和项目状态，后续才能判断是否可恢复。
- **准备移除宿主 plugin / Skill / 规则入口**：如果试装后行为异常，可以把宿主 AI 恢复到试装前状态。
- **记录安装命令和写入路径**：没有明确卸载说明时，至少要知道哪些目录或配置需要手动清理。
- **准备撤销测试 API key 或 token**：测试凭证泄露或误用时，可以快速止损。
- **如果没有回滚路径，不进入主力环境**：不可回滚是继续前阻断项，不应靠信任或运气继续。

## 哪些只能预览

- 解释项目适合谁和能做什么
- 基于项目文档演示典型对话流程
- 帮助用户判断是否值得安装或继续研究

## 哪些必须安装后验证

- 真实安装 Skill、插件或 CLI
- 执行脚本、修改本地文件或访问外部服务
- 验证真实输出质量、性能和兼容性

## 边界与风险判断卡

- **把安装前预览误认为真实运行**：用户可能高估项目已经完成的配置、权限和兼容性验证。 处理方式：明确区分 prompt_preview_can_do 与 runtime_required。 Claim：`clm_0022` inferred 0.45
- **宿主 AI 插件或 Skill 规则冲突**：新规则可能改变用户现有宿主 AI 的工作方式。 处理方式：安装前先检查插件 manifest 和 Skill 文件，必要时隔离测试。 证据：`.claude-plugin/plugin.json`, `packages/claw/openclaw.plugin.json` Claim：`clm_0023` supported 0.86
- **命令执行会修改本地环境**：安装命令可能写入用户主目录、宿主插件目录或项目配置。 处理方式：先在隔离环境或测试账号中运行。 证据：`CLAUDE.md`, `README.md`, `packages/claw/README.md`, `packages/cli/README.md` 等 Claim：`clm_0024` supported 0.86
- **待确认**：真实安装后是否与用户当前宿主 AI 版本兼容？。原因：兼容性只能通过实际宿主环境验证。
- **待确认**：项目输出质量是否满足用户具体任务？。原因：安装前预览只能展示流程和边界，不能替代真实评测。
- **待确认**：安装命令是否需要网络、权限或全局写入？。原因：这影响企业环境和个人环境的安装风险。

## 开工前工作上下文

### 加载顺序

- 先读取 how_to_use.host_ai_instruction，建立安装前判断资产的边界。
- 读取 claim_graph_summary，确认事实来自 Claim/Evidence Graph，而不是 Human Wiki 叙事。
- 再读取 intended_users、capabilities 和 quick_start_candidates，判断用户是否匹配。
- 需要执行具体任务时，优先查 role_skill_index，再查 evidence_index。
- 遇到真实安装、文件修改、网络访问、性能或兼容性问题时，转入 risk_card 和 boundaries.runtime_required。

### 任务路由

- **AI Skill / Agent 指令资产库**：先基于 role_skill_index / evidence_index 帮用户挑选可用角色、Skill 或工作流。 边界：可做安装前 Prompt 体验。 证据：`packages/claw/clawhub/SKILL.md`, `packages/mcp/packs/effective-memory/SKILL.md`, `skills/plur-memory/SKILL.md`, `skills/plur-session-end/SKILL.md` Claim：`clm_0001` supported 0.86
- **多宿主安装与分发**：先说明这是安装后验证能力，再给出安装前检查清单。 边界：必须真实安装或运行后验证。 证据：`.claude-plugin/plugin.json`, `packages/claw/openclaw.plugin.json` Claim：`clm_0002` supported 0.86
- **命令行启动或安装流程**：先说明这是安装后验证能力，再给出安装前检查清单。 边界：必须真实安装或运行后验证。 证据：`CLAUDE.md`, `README.md`, `packages/claw/README.md`, `packages/cli/README.md` 等 Claim：`clm_0003` supported 0.86

### 上下文规模

- 文件总数：488
- 重要文件覆盖：40/488
- 证据索引条目：80
- 角色 / Skill 条目：4

### 证据不足时的处理

- **missing_evidence**：说明证据不足，要求用户提供目标文件、README 段落或安装后验证记录；不要补全事实。
- **out_of_scope_request**：说明该任务超出当前 AI Context Pack 证据范围，并建议用户先查看 Human Manual 或真实安装后验证。
- **runtime_request**：给出安装前检查清单和命令来源，但不要替用户执行命令或声称已执行。
- **source_conflict**：同时展示冲突来源，标记为待核实，不要强行选择一个版本。

## Prompt Recipes

### 适配判断

- 目标：判断这个项目是否适合用户当前任务。
- 预期输出：适配结论、关键理由、证据引用、安装前可预览内容、必须安装后验证内容、下一步建议。

```text
请基于 plur 的 AI Context Pack，先问我 3 个必要问题，然后判断它是否适合我的任务。回答必须包含：适合谁、能做什么、不能做什么、是否值得安装、证据来自哪里。所有项目事实必须引用 evidence_refs、source_paths 或 claim_id。
```

### 安装前体验

- 目标：让用户在安装前感受核心工作流，同时避免把预览包装成真实能力或营销承诺。
- 预期输出：一段带边界标签的体验剧本、安装后验证清单和谨慎建议；不含真实运行承诺或强营销表述。

```text
请把 plur 当作安装前体验资产，而不是已安装工具或真实运行环境。

请严格输出四段：
1. 先问我 3 个必要问题。
2. 给出一段“体验剧本”：用 [安装前可预览]、[必须安装后验证]、[证据不足] 三种标签展示它可能如何引导工作流。
3. 给出安装后验证清单：列出哪些能力只有真实安装、真实宿主加载、真实项目运行后才能确认。
4. 给出谨慎建议：只能说“值得继续研究/试装”“先补充信息后再判断”或“不建议继续”，不得替项目背书。

硬性边界：
- 不要声称已经安装、运行、执行测试、修改文件或产生真实结果。
- 不要写“自动适配”“确保通过”“完美适配”“强烈建议安装”等承诺性表达。
- 如果描述安装后的工作方式，必须使用“如果安装成功且宿主正确加载 Skill，它可能会……”这种条件句。
- 体验剧本只能写成“示例台词/假设流程”：使用“可能会询问/可能会建议/可能会展示”，不要写“已写入、已生成、已通过、正在运行、正在生成”。
- Prompt Preview 不负责给安装命令；如用户准备试装，只能提示先阅读 Quick Start 和 Risk Card，并在隔离环境验证。
- 所有项目事实必须来自 supported claim、evidence_refs 或 source_paths；inferred/unverified 只能作风险或待确认项。

```

### 角色 / Skill 选择

- 目标：从项目里的角色或 Skill 中挑选最匹配的资产。
- 预期输出：候选角色或 Skill 列表，每项包含适用场景、证据路径、风险边界和是否需要安装后验证。

```text
请读取 role_skill_index，根据我的目标任务推荐 3-5 个最相关的角色或 Skill。每个推荐都要说明适用场景、可能输出、风险边界和 evidence_refs。
```

### 风险预检

- 目标：安装或引入前识别环境、权限、规则冲突和质量风险。
- 预期输出：环境、权限、依赖、许可、宿主冲突、质量风险和未知项的检查清单。

```text
请基于 risk_card、boundaries 和 quick_start_candidates，给我一份安装前风险预检清单。不要替我执行命令，只说明我应该检查什么、为什么检查、失败会有什么影响。
```

### 宿主 AI 开工指令

- 目标：把项目上下文转成一次对话开始前的宿主 AI 指令。
- 预期输出：一段边界明确、证据引用明确、适合复制给宿主 AI 的开工前指令。

```text
请基于 plur 的 AI Context Pack，生成一段我可以粘贴给宿主 AI 的开工前指令。这段指令必须遵守 not_runtime=true，不能声称项目已经安装、运行或产生真实结果。
```

## 角色 / Skill 索引

- 共索引 4 个角色 / Skill / 项目文档条目。

- **plur-memory**（skill）：Your memory stays on your machine. No cloud, no tracking, no API key. PLUR makes your OpenClaw remember — and shares that memory with every other tool you use. 激活提示：当用户任务与“plur-memory”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`packages/claw/clawhub/SKILL.md`
- **Effective Memory**（skill）：The essential habits for an AI agent with memory — session bookends, learning triggers, verification, safety, and the operational discipline that turns raw recall into compounding intelligence. Pinned, always-injected. 激活提示：当用户任务与“Effective Memory”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`packages/mcp/packs/effective-memory/SKILL.md`
- **plur-memory**（skill）：Persistent learning for AI agents. Open engram format. Your agent learns from corrections, remembers across sessions, and transfers knowledge across domains. 激活提示：当用户任务与“plur-memory”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/plur-memory/SKILL.md`
- **plur-session-end**（skill）：Extract durable learnings at the end of a session. Saves corrections, preferences, and codebase patterns as engrams — nothing ephemeral, nothing sensitive. 激活提示：当用户任务与“plur-session-end”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/plur-session-end/SKILL.md`

## 证据索引

- 共索引 80 条证据。

- **Architecture Decision Records**（documentation）：ADRs document significant architectural choices — why a decision was made, what alternatives were rejected, and what the trade-offs are. 证据：`docs/adr/README.md`
- **PLUR for Claude Code**（documentation）：Give Claude Code persistent memory. Corrections, preferences, and conventions persist across sessions — stored as plain YAML on your disk, with zero-cost local search. 证据：`.claude-plugin/README.md`
- **PLUR for OpenClaw**（documentation）：Shared memory across your OpenClaw agents. PLUR plugs into the OpenClaw ContextEngine — auto-injecting relevant memories on session start and auto-extracting learnings from conversations. Local-first, no cloud required. 证据：`.openclaw-plugin/README.md`
- **CLAUDE.md**（documentation）：Persistent memory for AI agents. An agent corrected on Monday remembers on Tuesday — across sessions, tools, and machines. 证据：`CLAUDE.md`
- **PLUR — Your agents share the same memory**（documentation）：PLUR — Your agents share the same memory 证据：`README.md`
- **PLUR — Own Your Intelligence**（documentation）：Memory for AI agents as an open, portable, local format you control — not rows in someone else's cloud database. 证据：`comparisons/README.md`
- **PLUR examples**（documentation）：Runnable, copy-pasteable getting-started scripts for @plur-ai/core ../packages/core . Each is self-contained, writes to a throwaway temp store never your real ~/.plur , and prints what it does. 证据：`examples/README.md`
- **@plur-ai/claw**（documentation）：Engram exchange layer for OpenClaw agents. Local-first data control. No cloud routing, no API key, data never leaves your machine. 证据：`packages/claw/README.md`
- **@plur-ai/cli**（documentation）：Persistent memory for AI agents — from the command line. 证据：`packages/cli/README.md`
- **@plur-ai/core**（documentation）：The engine behind PLUR https://plur.ai — persistent memory for AI agents. 证据：`packages/core/README.md`
- **plur-hermes**（documentation）：Persistent memory plugin for Hermes Agent https://github.com/NousResearch/hermes-agent . Your agent corrected on Monday remembers on Tuesday. 证据：`packages/hermes/README.md`
- **plur-langchain**（documentation）：LangChain memory adapter for PLUR https://plur.ai — plug persistent, local-first engram memory into any LangChain chain. 证据：`packages/langchain/README.md`
- **@plur-ai/mcp**（documentation）：Give your AI agent persistent memory. One line in your MCP config — corrections, preferences, and conventions persist across sessions. No workflow changes, no cloud, no API costs for search. 证据：`packages/mcp/README.md`
- **plur-ai**（documentation）：Local-first shared memory for AI agents — as a Python SDK. 证据：`packages/python/README.md`
- **Package**（package_manifest）：{ "name": "@plur-ai/examples", "version": "0.0.0", "private": true, "type": "module", "description": "Runnable getting-started examples for @plur-ai/core", "scripts": { "ex:basic": "tsx 01-basic-store-recall.ts", "ex:mcp": "tsx 02-mcp-integration.ts", "ex:scope": "tsx 03-scope-filtering.ts", "all": "pnpm ex:basic && pnpm ex:mcp && pnpm ex:scope" }, "dependencies": { "@plur-ai/core": "workspace: " }, "devDependencies": { "tsx": "^4.22.4" } } 证据：`examples/package.json`
- **Package**（package_manifest）：{ "name": "plur", "private": true, "scripts": { "build": "pnpm -r build", "test": "vitest run", "test:integration": "vitest run packages/core/test/remote-integration.test.ts", "test:smoke": "vitest run packages/core/test/remote-smoke.test.ts", "test:watch": "vitest", "bench:micro": "npx tsx benchmark/micro.ts" }, "devDependencies": { "tsup": "^8.5.1", "typescript": "^6.0.2", "vitest": "^4.1.1" }, "pnpm": { "overrides": { "fast-xml-parser": " =5.7.0", "@hono/node-server": " =1.19.13", "openclaw": " =2026.6.5", "undici": " =7.28.0", "linkify-it": " =5.0.1", "js-yaml": " =4.2.0 =7.5.6", "hono": " =4.12.18", "brace-expansion": " =2.0.2", "postcss": " =8.5.14", "yaml": " =2.9.0", "minimatch": "… 证据：`package.json`
- **Contributing to PLUR**（documentation）：Thanks for helping build PLUR — persistent, composable memory for AI agents. This monorepo holds seven packages: @plur-ai/core the engine , @plur-ai/mcp the MCP server , @plur-ai/claw the OpenClaw plugin , @plur-ai/cli the CLI , plur-hermes Hermes Agent plugin , plur-ai Python SDK , and plur-langchain LangChain adapter . For the release process see RELEASING.md RELEASING.md ; for agent/automation working rules see CLAUDE.md CLAUDE.md . 证据：`CONTRIBUTING.md`
- **Package**（package_manifest）：{ "name": "@plur-ai/claw", "version": "0.10.0", "type": "module", "main": "dist/index.js", "types": "dist/index.d.ts", "bin": { "claw": "dist/cli.js" }, "files": "dist", "openclaw.plugin.json" , "openclaw": { "extensions": "dist/index.js" , "compat": { "pluginApi": " =2026.3.0" }, "build": { "openclawVersion": "2026.3.7" } }, "scripts": { "build": "tsup", "test": "vitest run", "postinstall": "node dist/setup.js 2 /dev/null true" }, "dependencies": { "@plur-ai/core": "workspace: " }, "peerDependencies": { "openclaw": " =2026.6.5" }, "peerDependenciesMeta": { "openclaw": { "optional": true } }, "devDependencies": { "@types/node": "^22.0.0" }, "license": "Apache-2.0", "description": "PLUR memo… 证据：`packages/claw/package.json`
- **Package**（package_manifest）：{ "name": "@plur-ai/cli", "version": "0.14.0", "type": "module", "bin": { "plur": "dist/index.js" }, "main": "dist/index.js", "files": "dist" , "scripts": { "build": "tsup", "test": "vitest run" }, "dependencies": { "@plur-ai/core": "workspace: " }, "devDependencies": { "@types/node": "^25.5.0", "better-sqlite3": "^11.0.0" }, "peerDependencies": { "@plur-ai/core": " =0.3.0" }, "peerDependenciesMeta": { "@plur-ai/core": { "optional": false } }, "license": "Apache-2.0", "description": "PLUR CLI — persistent memory for AI agents from the command line", "keywords": "ai", "memory", "cli", "engram", "agent", "plur" , "homepage": "https://plur.ai", "repository": { "type": "git", "url": "https://gi… 证据：`packages/cli/package.json`
- **Package**（package_manifest）：{ "name": "@plur-ai/core", "version": "0.14.0", "type": "module", "main": "dist/index.js", "types": "dist/index.d.ts", "files": "dist" , "scripts": { "build": "tsup", "test": "vitest run", "gen:schemas": "tsx scripts/gen-spec-schemas.ts" }, "dependencies": { "@electric-sql/pglite": "^0.4.6", "js-yaml": "^4.1.0", "zod": "^3.23.0" }, "optionalDependencies": { "@huggingface/transformers": "^3.8.1", "better-sqlite3": "^11.0.0" }, "devDependencies": { "@types/better-sqlite3": "^7.6.0", "@types/js-yaml": "^4.0.0", "@types/node": "^25.5.0", "tsx": "^4.22.4", "zod-to-json-schema": "^3.25.2" }, "license": "Apache-2.0", "description": "Shared memory engine for AI agents — learn, recall, forget, feedb… 证据：`packages/core/package.json`
- **Package**（package_manifest）：{ "name": "@plur-ai/mcp", "mcpName": "io.github.plur-ai/plur", "version": "0.14.0", "type": "module", "bin": { "plur-mcp": "dist/index.js" }, "main": "dist/index.js", "files": "dist", "packs" , "scripts": { "build": "tsup", "test": "vitest run" }, "dependencies": { "@plur-ai/core": "workspace: ", "@modelcontextprotocol/server": "2.0.0-beta.4", "@modelcontextprotocol/client": "2.0.0-beta.4", "@modelcontextprotocol/core": "2.0.0-beta.4", "zod": "^3.23.0" }, "devDependencies": { "@types/node": "^25.5.0" }, "license": "Apache-2.0", "description": "PLUR MCP server — persistent memory tools for any AI agent", "keywords": "ai", "memory", "mcp", "model-context-protocol", "agent", "claude", "cursor"… 证据：`packages/mcp/package.json`
- **PLUR Memory**（skill_instruction）：Most memory plugins send your context to a cloud server. PLUR doesn't. 证据：`packages/claw/clawhub/SKILL.md`
- **Note: every engram in this pack carries pinned: true at the engram**（skill_instruction）：Your agent has memory. These habits make it actually useful. 证据：`packages/mcp/packs/effective-memory/SKILL.md`
- **PLUR Memory**（skill_instruction）：Persistent memory for AI agents. Corrections, preferences, and patterns are stored as engrams that strengthen with use and decay when irrelevant. The system gets smarter the longer you use it. 证据：`skills/plur-memory/SKILL.md`
- **PLUR Session End**（skill_instruction）：Run this at the end of a conversation to extract what is worth remembering. 证据：`skills/plur-session-end/SKILL.md`
- **Plugin**（structured_config）：{ "name": "plur", "version": "0.9.13", "description": "Persistent, local-first shared memory for AI agents. Corrections, preferences, and conventions persist across sessions, tools, and machines — stored as plain YAML on your disk, with zero-cost local search.", "author": { "name": "PLUR", "url": "https://plur.ai" }, "homepage": "https://plur.ai", "repository": "https://github.com/plur-ai/plur", "license": "Apache-2.0", "keywords": "memory", "agent-memory", "mcp", "local-first", "context-engine" } 证据：`.claude-plugin/plugin.json`
- **License**（source_file）：Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ 证据：`LICENSE`
- **Known Issues**（documentation）：This file tracks known, accepted issues for the current release line, with machine-checkable sentinels that gate release.sh and CI. 证据：`docs/KNOWN_ISSUES.md`
- **Opt-in Engagement Telemetry — Design & Implementation**（documentation）：Opt-in Engagement Telemetry — Design & Implementation 证据：`docs/telemetry-design.md`
- **ADR-0002: Derived-state provenance — history JSONL is source of truth for observational events**（documentation）：ADR-0002: Derived-state provenance — history JSONL is source of truth for observational events 证据：`docs/adr/ADR-0002-derived-state-provenance.md`
- **PLUR v0.9.x benchmark baseline — 2026-07-08**（documentation）：PLUR v0.9.x benchmark baseline — 2026-07-08 证据：`docs/benchmarks/2026-07-08-longmemeval-s.md`
- **Local-first AI memory: feature comparison**（documentation）：Local-first AI memory: feature comparison 证据：`docs/benchmarks/feature-comparison.md`
- **Local-first AI memory: Phase 2 benchmark methodology**（documentation）：Local-first AI memory: Phase 2 benchmark methodology 证据：`docs/benchmarks/phase2-methodology.md`
- **PLUR v0.2.1 on LongMemEval — reference measurement**（documentation）：PLUR v0.2.1 on LongMemEval — reference measurement 证据：`docs/reports/longmemeval-v0.2.1.md`
- **Runbook: Human-bridge credentials NPM TOKEN + ClawHub OAuth**（documentation）：Runbook: Human-bridge credentials NPM TOKEN + ClawHub OAuth 证据：`docs/runbooks/credentials.md`
- **Runbook: Consolidating one engram store into another**（documentation）：Runbook: Consolidating one engram store into another 证据：`docs/runbooks/store-consolidation.md`
- **PLUR test pyramid**（documentation）：This document records the test architecture for plur-ai/plur, closing the documentation gap left by issue 92 CI integration for remote store test levels . The original 92 spec assumed Docker-based integration tests; we shipped a simpler-and-stronger approach using in-process stub servers. 证据：`docs/test-pyramid.md`
- **Changelog**（documentation）：Performance + expansion — lean MCP surface by default, new LangChain adapter, cross-platform path fix, dependency security hardening, and four core stability fixes. 证据：`CHANGELOG.md`
- **Releasing**（documentation）：This repo publishes four npm packages and three Python/PyPI packages from packages/ : 证据：`RELEASING.md`
- **PLUR Roadmap**（documentation）：PLUR is persistent, local-first memory for AI agents. This roadmap captures the major workstreams currently active. For day-to-day status, see open issues https://github.com/plur-ai/plur/issues . 证据：`ROADMAP.md`
- **PLUR vs Cognee**（documentation）：Choose Cognee for an open, self-hostable graph+vector pipeline. Choose PLUR for a portable engram format you own and share as packs. 证据：`comparisons/plur-vs-cognee.md`
- **PLUR vs Letta / MemGPT**（documentation）：Choose Letta for a full self-hostable agent runtime. Choose PLUR for a portable, open memory layer your existing agents share. 证据：`comparisons/plur-vs-letta.md`
- **PLUR vs Mastra**（documentation）：Choose Mastra for memory built into its TypeScript agent framework. Choose PLUR when memory must outlive and cross frameworks. 证据：`comparisons/plur-vs-mastra.md`
- **PLUR vs mem0**（documentation）：Choose mem0 for a hosted memory API with the broadest integrations. Choose PLUR to own your memory — an open, local, portable format across every tool. 证据：`comparisons/plur-vs-mem0.md`
- **PLUR vs supermemory**（documentation）：Choose supermemory for a clean hosted memory API. Choose PLUR when memory must be local, sovereign, and yours. 证据：`comparisons/plur-vs-supermemory.md`
- **PLUR vs Zep / Graphiti**（documentation）：Choose Zep/Graphiti for a mature temporal knowledge graph. Choose PLUR for an open, owned engram format that spans tools — fully local. 证据：`comparisons/plur-vs-zep.md`
- **Installing PLUR for Cline and other agents**（documentation）：Installing PLUR for Cline and other agents 证据：`llms-install.md`
- **Architecture**（documentation）：@plur-ai/claw is the OpenClaw plugin that gives every agent in the gateway persistent memory — automatically, with no per-agent code changes. It's a ContextEngine plugin: OpenClaw calls into it on every session lifecycle event. 证据：`packages/claw/ARCHITECTURE.md`
- **Architecture**（documentation）：@plur-ai/core is the engram engine — the in-process library that stores, searches, decays, and injects engrams. No network, no auth, no tools — just the data model and the algorithms. 证据：`packages/core/ARCHITECTURE.md`
- **PLUR Memory**（skill_instruction）：Persistent memory for AI agents. Corrections, preferences, and patterns are stored as engrams that strengthen with use and decay when irrelevant. The system gets smarter the longer you use it. 证据：`packages/hermes/plur_hermes/skills/plur-memory.SKILL.md`
- **Architecture**（documentation）：@plur-ai/mcp exposes @plur-ai/core as a Model Context Protocol server. It's a thin adapter — almost all logic lives in core. This package owns: the MCP transport, the tool-definition surface, the init and setup CLI, and the auto-update / config bootstrap. 证据：`packages/mcp/ARCHITECTURE.md`
- **.Pnpm Approve Builds**（structured_config）：{"@esbuild/darwin-arm64": true, "esbuild": true, "better-sqlite3": true} 证据：`.pnpm-approve-builds.json`
- **Glama**（structured_config）：{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": "plur9" } 证据：`glama.json`
- **Server**（structured_config）：{ "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json", "name": "io.github.plur-ai/plur", "description": "Open, local-first engram memory for AI agents: read, correct, delete; shared over MCP.", "status": "active", "repository": { "url": "https://github.com/plur-ai/plur", "source": "github" }, "version": "0.10.1", "packages": { "registryType": "npm", "registryBaseUrl": "https://registry.npmjs.org", "identifier": "@plur-ai/mcp", "version": "0.10.1", "transport": { "type": "stdio" } } } 证据：`server.json`
- **Tsconfig.Base**（structured_config）：{ "compilerOptions": { "strict": true, "target": "ES2022", "module": "ESNext", "moduleResolution": "bundler", "declaration": true, "declarationMap": true, "sourceMap": true, "esModuleInterop": true, "skipLibCheck": true, "ignoreDeprecations": "6.0", "types": "node" , "outDir": "dist", "rootDir": "src" } } 证据：`tsconfig.base.json`
- **Openclaw.Plugin**（structured_config）：{ "id": "plur-claw", "name": "PLUR Memory Engine", "description": "Engram exchange layer for OpenClaw. Local-first memory — no cloud routing, no API key, data stays on your machine. Open format, pack ecosystem.", "version": "0.10.0", "kind": "memory", "enabledByDefault": true, "configSchema": { "type": "object", "additionalProperties": false, "properties": { "path": { "type": "string", "description": "Storage path for PLUR data" }, "auto learn": { "type": "boolean", "default": true, "description": "Auto-extract learnings from conversations" }, "auto capture": { "type": "boolean", "default": true, "description": "Auto-capture episodic summaries" }, "injection budget": { "type": "number", "de… 证据：`packages/claw/openclaw.plugin.json`
- **Tsconfig**（structured_config）：{ "extends": "../../tsconfig.base.json", "compilerOptions": { "outDir": "dist", "rootDir": "src" }, "include": "src" } 证据：`packages/claw/tsconfig.json`
- **Tsconfig**（structured_config）：{ "extends": "../../tsconfig.base.json", "compilerOptions": { "outDir": "dist", "rootDir": "src" }, "include": "src" } 证据：`packages/cli/tsconfig.json`
- **Tsconfig**（structured_config）：{ "extends": "../../tsconfig.base.json", "compilerOptions": { "outDir": "dist", "rootDir": "src" }, "include": "src" } 证据：`packages/core/tsconfig.json`
- **Tsconfig**（structured_config）：{ "extends": "../../tsconfig.base.json", "compilerOptions": { "outDir": "dist", "rootDir": "src" }, "include": "src" } 证据：`packages/mcp/tsconfig.json`
- 其余 20 条证据见 `AI_CONTEXT_PACK.json` 或 `EVIDENCE_INDEX.json`。

## 宿主 AI 必须遵守的规则

- **把本资产当作开工前上下文，而不是运行环境。**：AI Context Pack 只包含证据化项目理解，不包含目标项目的可执行状态。 证据：`docs/adr/README.md`, `.claude-plugin/README.md`, `.openclaw-plugin/README.md`
- **回答用户时区分可预览内容与必须安装后才能验证的内容。**：安装前体验的消费者价值来自降低误装和误判，而不是伪装成真实运行。 证据：`docs/adr/README.md`, `.claude-plugin/README.md`, `.openclaw-plugin/README.md`

## 用户开工前应该回答的问题

- 你准备在哪个宿主 AI 或本地环境中使用它？
- 你只是想先体验工作流，还是准备真实安装？
- 你最在意的是安装成本、输出质量、还是和现有规则的冲突？

## 验收标准

- 所有能力声明都能回指到 evidence_refs 中的文件路径。
- AI_CONTEXT_PACK.md 没有把预览包装成真实运行。
- 用户能在 3 分钟内看懂适合谁、能做什么、如何开始和风险边界。

---

## Doramagic Context Augmentation

下面内容用于强化 Repomix/AI Context Pack 主体。Human Manual 只提供阅读骨架；踩坑日志会被转成宿主 AI 必须遵守的工作约束。

## Human Manual 骨架

使用规则：这里只是项目阅读路线和显著性信号，不是事实权威。具体事实仍必须回到 repo evidence / Claim Graph。

宿主 AI 硬性规则：
- 不得把页标题、章节顺序、摘要或 importance 当作项目事实证据。
- 解释 Human Manual 骨架时，必须明确说它只是阅读路线/显著性信号。
- 能力、安装、兼容性、运行状态和风险判断必须引用 repo evidence、source path 或 Claim Graph。

- **PLUR 概览与安装指引**：importance `high`
  - source_paths: README.md, CHANGELOG.md, package.json, pnpm-workspace.yaml, llms-install.md
- **核心引擎：Engram、Episode 与混合检索**：importance `high`
  - source_paths: packages/core/src/engrams.ts, packages/core/src/episodes.ts, packages/core/src/hybrid-search.ts, packages/core/src/fts.ts, packages/core/src/embeddings.ts
- **集成层：MCP 工具、CLI 命令、插件与 Scope 选择退出**：importance `high`
  - source_paths: packages/mcp/src/tools.ts, packages/mcp/src/index.ts, packages/mcp/src/server.ts, packages/cli/src/index.ts, packages/cli/src/plur.ts
- **存储、同步、部署与故障排查**：importance `high`
  - source_paths: packages/core/src/storage.ts, packages/core/src/storage-adapter.ts, packages/core/src/storage-indexed.ts, packages/core/src/storage-pglite.ts, packages/core/src/sync.ts

## Repo Inspection Evidence / 源码检查证据

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `c8208e8505de1e2b2e64d9f0c8a39ca0afac7bce`
- inspected_files: `README.md`, `package.json`, `pnpm-lock.yaml`, `docs/KNOWN_ISSUES.md`, `docs/adr/ADR-0002-derived-state-provenance.md`, `docs/adr/README.md`, `docs/benchmarks/2026-07-08-longmemeval-s.md`, `docs/benchmarks/feature-comparison.md`, `docs/benchmarks/phase2-methodology.md`, `docs/reports/longmemeval-v0.2.1.md`, `docs/runbooks/credentials.md`, `docs/runbooks/store-consolidation.md`, `docs/telemetry-design.md`, `docs/test-pyramid.md`, `examples/01-basic-store-recall.ts`, `examples/02-mcp-integration.ts`, `examples/03-scope-filtering.ts`, `examples/README.md`, `examples/package.json`, `packages/claw/ARCHITECTURE.md`

宿主 AI 硬性规则：
- 没有 repo_clone_verified=true 时，不得声称已经读过源码。
- 没有 repo_inspection_verified=true 时，不得把 README/docs/package 文件判断写成事实。
- 没有 quick_start_verified=true 时，不得声称 Quick Start 已跑通。

## Doramagic Pitfall Constraints / 踩坑约束

这些规则来自 Doramagic 发现、验证或编译过程中的项目专属坑点。宿主 AI 必须把它们当作工作约束，而不是普通说明文字。

### Constraint 1: 来源证据：Upgrade MCP SDK v2 from 2.0.0-beta.4 to stable GA when released

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：Upgrade MCP SDK v2 from 2.0.0-beta.4 to stable GA when released
- Why it matters: 可能阻塞安装或首次运行。
- Evidence: community_evidence:github | https://github.com/plur-ai/plur/issues/645 | 来源讨论提到 npm 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 2: 失败模式：security_permissions: Proactively offer to register authorized-but-unregistered scopes (per-scope, remembered opt-out)

- Trigger: Developers should check this security_permissions risk before relying on the project: Proactively offer to register authorized-but-unregistered scopes (per-scope, remembered opt-out)
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Proactively offer to register authorized-but-unregistered scopes (per-scope, remembered opt-out). Context: Source discussion did not expose a precise runtime context.
- Why it matters: Developers may expose sensitive permissions or credentials: Proactively offer to register authorized-but-unregistered scopes (per-scope, remembered opt-out)
- Evidence: failure_mode_cluster:github_issue | https://github.com/plur-ai/plur/issues/647 | Proactively offer to register authorized-but-unregistered scopes (per-scope, remembered opt-out)
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 3: 失败模式：security_permissions: Scope-metadata edits not reflected in running clients (cached until next /me pull) — freshnes...

- Trigger: Developers should check this security_permissions risk before relying on the project: Scope-metadata edits not reflected in running clients (cached until next /me pull) — freshness signal?
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Scope-metadata edits not reflected in running clients (cached until next /me pull) — freshness signal?. Context: Observed during version upgrade or migration.
- Why it matters: Developers may expose sensitive permissions or credentials: Scope-metadata edits not reflected in running clients (cached until next /me pull) — freshness signal?
- Evidence: failure_mode_cluster:github_issue | https://github.com/plur-ai/plur/issues/648 | Scope-metadata edits not reflected in running clients (cached until next /me pull) — freshness signal?
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 4: 失败模式：security_permissions: plur sync: scope-aware push — don't send private-visibility engrams to shared remotes

- Trigger: Developers should check this security_permissions risk before relying on the project: plur sync: scope-aware push — don't send private-visibility engrams to shared remotes
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: plur sync: scope-aware push — don't send private-visibility engrams to shared remotes. Context: Source discussion did not expose a precise runtime context.
- Why it matters: Developers may expose sensitive permissions or credentials: plur sync: scope-aware push — don't send private-visibility engrams to shared remotes
- Evidence: failure_mode_cluster:github_issue | https://github.com/plur-ai/plur/issues/640 | plur sync: scope-aware push — don't send private-visibility engrams to shared remotes
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 5: 来源证据：Proactively offer to register authorized-but-unregistered scopes (per-scope, remembered opt-out)

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：Proactively offer to register authorized-but-unregistered scopes (per-scope, remembered opt-out)
- Why it matters: 可能影响授权、密钥配置或安全边界。
- Evidence: community_evidence:github | https://github.com/plur-ai/plur/issues/647 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 6: 来源证据：Scope-metadata edits not reflected in running clients (cached until next /me pull) — freshness signal?

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：Scope-metadata edits not reflected in running clients (cached until next /me pull) — freshness signal?
- Why it matters: 可能影响升级、迁移或版本选择。
- Evidence: community_evidence:github | https://github.com/plur-ai/plur/issues/648 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 7: 来源证据：scopes opt-out (cli): 'plur scopes' list/register/dismiss/reoffer — the user-facing surface

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：scopes opt-out (cli): 'plur scopes' list/register/dismiss/reoffer — the user-facing surface
- Why it matters: 可能影响授权、密钥配置或安全边界。
- Evidence: community_evidence:github | https://github.com/plur-ai/plur/issues/650 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 8: 来源证据：scopes opt-out (core): persist dismissed scopes + single register/dismiss/reoffer + filter discovery

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：scopes opt-out (core): persist dismissed scopes + single register/dismiss/reoffer + filter discovery
- Why it matters: 可能影响授权、密钥配置或安全边界。
- Evidence: community_evidence:github | https://github.com/plur-ai/plur/issues/649 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 9: 失败模式：installation: Upgrade MCP SDK v2 from 2.0.0-beta.4 to stable GA when released

- Trigger: Developers should check this installation risk before relying on the project: Upgrade MCP SDK v2 from 2.0.0-beta.4 to stable GA when released
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Upgrade MCP SDK v2 from 2.0.0-beta.4 to stable GA when released. Context: Observed when using node
- Why it matters: Developers may fail before the first successful local run: Upgrade MCP SDK v2 from 2.0.0-beta.4 to stable GA when released
- Evidence: failure_mode_cluster:github_issue | https://github.com/plur-ai/plur/issues/645 | Upgrade MCP SDK v2 from 2.0.0-beta.4 to stable GA when released
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 10: 失败模式：installation: compat: MCP SDK v2 migration — import split + Zod v3→v4 (deadline 2026-07-28)

- Trigger: Developers should check this installation risk before relying on the project: compat: MCP SDK v2 migration — import split + Zod v3→v4 (deadline 2026-07-28)
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: compat: MCP SDK v2 migration — import split + Zod v3→v4 (deadline 2026-07-28). Context: Observed when using node
- Why it matters: Developers may fail before the first successful local run: compat: MCP SDK v2 migration — import split + Zod v3→v4 (deadline 2026-07-28)
- Evidence: failure_mode_cluster:github_issue | https://github.com/plur-ai/plur/issues/637 | compat: MCP SDK v2 migration — import split + Zod v3→v4 (deadline 2026-07-28)
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。