memory_store
Persist lessons, decisions, and playbooks from conversations via a unified write endpoint. Routes each memory to the correct type automatically, so you don't need to know Engram's taxonomy.
Instructions
统一知识写入入口 — 根据 kind 自动路由到 add_lesson / add_decision / add_playbook。 Unified knowledge write endpoint — routes to add_lesson / add_decision / add_playbook based on kind.
**Lifecycle: writeback** — 对话中产生值得长期保留的知识时调用。
Lifecycle: writeback — call when the conversation produces knowledge worth persisting.
这是 Provider 兼容的统一写入接口。如果你已经明确知道要写 lesson/decision/playbook，
也可以直接调用对应的专用工具。本工具的优势在于：调用方不需要知道 Engram 内部的分类体系。
This is a provider-compatible unified write interface. You may also call the specialized
tools directly. The advantage here: callers don't need to know Engram's internal taxonomy.
Args:
kind: 知识类型 — 'lesson' | 'decision' | 'playbook'。批量模式下作为各条目的类型（playbook 不支持批量）。 / Knowledge type; in batch mode, the item type for every item (playbook not supported in batch).
content_json: 知识内容 JSON 字符串（单条模式必填）。格式因 kind 而异：
- lesson: {"summary": "...", "detail": "...", "domain": "..."}
- decision: {"question": "...", "choice": "...", "reasoning": "..."}
- playbook: {"title": "...", "triggers": "...", "steps_json": "[...]"}
Content JSON string (required in single mode). Schema varies by kind (see above).
source_tool: 调用来源工具（可选），如 'claude_code', 'cursor'。 / Source tool (optional).
items_json: 条目 JSON 数组；给了就走批量写入（一次导入多条 lesson/decision）。 / JSON array of items; when provided, batch-writes multiple lessons/decisions in one call.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kind | Yes | ||
| items_json | No | ||
| source_tool | No | ||
| content_json | No | ||
| project_folder | No | ||
| user_confirmed | No | ||
| allow_similar_new | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |