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Andrew Memory Layer

该 Skill 以本地 LanceDB 向量库为存储，为 AI Agent 提供长期语义记忆：新增、检索记忆，设置与读取 Core Identity，从对话中蒸馏记忆原子，并可在更换嵌入模型后重建向量；嵌入与蒸馏可走 MiniMax 云端 API 或本地 Ollama。

分类：知识
panyuugit
panyuugit
热度 19.97
最近更新 2026-05-11 17:37:12

安装

发给 Agent
帮我安装这个技能：npx secure-skills-cli add panyuugit/andrew-memory
兼容性
OpenClaw 专属
联网要求
需要联网
数据出网
可选出网
Metadata
name
andrew-memory
description
Product-grade semantic memory layer for AI agents using LanceDB. Provides long-term memory with semantic search, Core Identity management, and conversation distillation. Use when: (1) Learning new facts about the user, (2) Searching for past context, (3) Maintaining consistent persona across sessions, (4) Extracting key memories from conversations.

Andrew Memory Layer

A product-grade semantic memory layer for AI agents, powered by LanceDB.

Overview

This skill provides long-term memory capabilities for AI agents using a local LanceDB vector database. It enables semantic search, Core Identity management, and conversation distillation.

Features

  • Semantic Memory Search - Find relevant memories using natural language queries
  • Core Identity Injection - Maintain consistent persona across sessions
  • Conversation Distillation - Automatically extract memory atoms from conversations
  • Dual LLM Support - Works with MiniMax API (cloud) or Ollama (local)
  • Rich Metadata - Tracks importance, confidence, and reuse count for each memory

Tools

Tool Description
andrew_memory_add Store a new memory with type, importance, and confidence
andrew_memory_search Search memories semantically using natural language
andrew_memory_set_identity Set the agent's Core Identity
andrew_memory_get_identity Retrieve the current Core Identity
andrew_memory_distill Extract key memories from a conversation
andrew_memory_regenerate_vectors Rebuild all vectors (after changing embedding model)

Configuration

{
  "plugins": {
    "entries": {
      "andrew-memory": {
        "enabled": true,
        "config": {
          "dataDir": "~/.andrew-memory/data",
          "llmMode": "api",
          "localLlmUrl": "http://localhost:11434"
        }
      }
    }
  }
}

Config Options

Option Default Description
dataDir ~/.andrew-memory/data LanceDB data directory
llmMode api api (MiniMax) or local (Ollama)
localLlmUrl http://localhost:11434 Ollama URL when using local mode

Requirements

  • OpenClaw
  • Node.js >= 22
  • LanceDB (auto-installed)
  • MiniMax API key (if using cloud mode): set MINIMAX_API_KEY env var

Memory Types

  • preference - User preferences and habits
  • fact - Factual information about the user or world
  • rule - Executable rules and guidelines
  • experience - Past experiences with success/failure outcomes
  • thought - Thoughts, observations, insights
  • distilled - Auto-extracted from conversations
  • general - Default general-purpose memory

Usage Example

User: Remember that I prefer short responses in the morning.
→ andrew_memory_add: { text: "User prefers short responses in the morning", memoryType: "preference" }

User: What did I say about my communication preferences?
→ andrew_memory_search: { query: "communication preferences morning responses" }