初始化：记忆系统源代码上传（已脱敏）

- 排除 .env / *.bak / 内部运维文档（README_INTERNAL.html）
- config.py 默认密码已替换为占位符 CHANGE_ME_*
- init_db.sql 移除生产数据库用户 GRANT 段
- README.html 数据库用户名已脱敏
- 保留：源码 + 公网 API 文档 + 建表 SQL（无授权语句）

lifecycle/aggregator.py

@@ -0,0 +1,92 @@
+"""Scenario Aggregator - Group related memories into scenario blocks."""
+import json
+import logging
+from typing import Optional, List
+
+from lifecycle.llm_parse import parse_llm_json_array
+
+logger = logging.getLogger(__name__)
+
+SCENE_SYSTEM_PROMPT = """你是JSON生成器。直接输出JSON数组，禁止分析、思考、解释、讨论、markdown。
+
+任务：将记忆按主题聚合成场景块。
+
+规则：
+1. 将相关记忆归入同一场景
+2. 每个场景：name（名称）、summary（100字以内摘要）、memory_ids（ID列表）
+3. 最多10个场景
+4. 第一个字符必须是[，最后一个字符必须是]
+
+输出格式：
+[{"name":"场景名","summary":"摘要","memory_ids":["id1","id2"]}]
+
+只输出JSON，不要有任何其他文字。"""
+
+
+class ScenarioAggregator:
+    """Aggregate personal memories into scenario blocks."""
+
+    def __init__(self, mysql_store, llm_client):
+        self.mysql = mysql_store
+        self.llm = llm_client
+
+    def aggregate(self, agent_id: str, team_id: str,
+                  max_memories: int = 50) -> dict:
+        """Aggregate memories into scenarios using LLM."""
+        if not self.llm.available:
+            return {"error": "LLM not configured. Set LLM_API_URL, LLM_API_KEY, LLM_MODEL environment variables."}
+
+        memories = self.mysql.get_personal_memories_by_agent(agent_id, limit=max_memories)
+        if not memories:
+            return {"scenarios": [], "count": 0}
+
+        memory_lines = []
+        for m in memories:
+            mid = m["id"]
+            content = m.get("content", "")[:100]
+            memory_lines.append(f"[{mid}] {content}")
+        user_prompt = "请将以下记忆聚合为JSON场景数组：\n\n" + "\n".join(memory_lines)
+
+        try:
+            scenarios = parse_llm_json_array(
+                self.llm, SCENE_SYSTEM_PROMPT, user_prompt,
+                temperature=0.3, context="aggregate-scenes",
+                max_tokens=2000,
+            )
+        except ValueError as e:
+            return {"error": str(e)}
+
+        stored = []
+        for scene in scenarios:
+            if not isinstance(scene, dict):
+                logger.warning("Skipping non-dict item in scenarios: %r", scene)
+                continue
+            name = scene.get("name", "unnamed")
+            summary = scene.get("summary", "")
+            memory_ids = scene.get("memory_ids", [])
+            valid_ids = [mid for mid in memory_ids if isinstance(mid, str) and len(mid) > 0]
+
+            scene_id = self.mysql.add_scenario(
+                team_id=team_id,
+                agent_id=agent_id,
+                name=name,
+                summary=summary,
+                memory_ids=valid_ids,
+            )
+            stored.append({
+                "id": scene_id,
+                "name": name,
+                "summary": summary,
+                "memory_ids": valid_ids,
+            })
+
+        return {"scenarios": stored, "count": len(stored)}
+
+    def get_scenarios(self, agent_id: str) -> List[dict]:
+        return self.mysql.get_scenarios_by_agent(agent_id)
+
+    def delete_scenario(self, scenario_id: str, team_id: str) -> bool:
+        scenario = self.mysql.get_scenario(scenario_id)
+        if not scenario or scenario["team_id"] != team_id:
+            return False
+        return self.mysql.delete_scenario(scenario_id)