Agent skill
memory_service
记忆检索服务。让 Agent 自主决定是否需要回忆过去的对话。 **使用场景**： 1. 用户问"之前我们讨论过什么"、"上次说的那个..." 2. 需要参考之前的上下文来回答当前问题 3. 用户提到某个之前讨论过的主题 **不要滥用**：简单问题（如写代码、解释概念）不需要检索记忆
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/memory-service
SKILL.md
功能
使用 Rerank + LLM 两阶段检索，让 Agent 可以：
- 智能搜索与当前问题相关的历史对话
- LLM 理解上下文和指代关系（如"上次说的那个"）
- 按时间范围筛选记忆
调用方式
from services.memory_service.client import MemoryServiceClient
client = MemoryServiceClient()
# 语义搜索相关记忆
results = client.search(
query="用户之前问过关于 Docker 的问题",
session_id="current_session_id", # 必填：限定在当前会话内搜索
limit=5 # 返回最相关的 5 条
)
# 获取最近的对话历史
recent = client.get_recent(
session_id="session_id",
limit=10
)
检索流程
1. 从数据库获取最近 50 条消息
↓
2. Rerank 模型初筛 → top 10 候选
↓
3. LLM 精选 + 整合 → 最相关的 N 条
↓
4. 返回结果（含相关性评分）
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