get_relevant_knowledge
Automatically retrieve the most relevant past lessons and knowledge for a given project folder, based on its tech stack and history. No search keywords needed.
Instructions
按项目路径自动推荐最相关的经验教训（无需搜索词）。 / Automatically recommend the most relevant lessons for a project path, without search keywords.
**Lifecycle: retrieval** — 在对话中需要项目相关的历史知识时调用。
Lifecycle: retrieval — call mid-conversation when project-relevant past knowledge is needed.
用途：你知道当前项目路径但不知道该搜什么词时调用，Engram 根据项目技术栈自动筛选。
Purpose: Call when you know the current project path but not the right search terms; Engram filters by project tech stack.
注意：如果用户给了明确搜索词，用 search_knowledge 更直接。
Note: If the user provides explicit search keywords, search_knowledge is more direct.
Args:
project_folder: 当前项目文件夹路径。 / Current project folder path.
limit: 最多返回多少条（默认 8）。 / Maximum number of items to return (default 8).
include_freshness: 为每条结果附加 freshness/新鲜度提示（默认 False，保持旧输出不变）。 / Attach a per-item freshness hint (default False; output is unchanged when omitted).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| project_folder | Yes | ||
| include_freshness | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |