Agent Memory Pro

提供语义记忆的写入、语义检索与全量列举，管理实体关系图谱，并通过 SQLite 管理项目、联系人、任务等结构化数据；附带容器重建后的依赖安装脚本和批量种子写入脚本，以及连接自检命令。依赖 OpenRouter API 密钥及 Docker 运行的 Qdrant 与 Neo4j。

aiwithabidi

热度 66.29

最近更新 2026-05-10 17:37:54

分类：知识依赖：代码执行 / 读写文件 / 第三方 API / 内部调用大模型应用场景：笔记整理 / 任务管理 / 数据处理 / 自动化脚本 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add agent-memory-pro

Metadata

name: agent-memory
description: Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete setup script and tools. Give your OpenClaw agent a real brain with semantic recall, entity relationships, and structured storage.
homepage: https://www.agxntsix.ai
license: MIT
compatibility: Python 3.10+, Docker (Qdrant + Neo4j), OpenRouter API key
metadata: {"openclaw":{"emoji":"🧠","requires":{"env":["OPENROUTER_API_KEY"]},"primaryEnv":"OPENROUTER_API_KEY","homepage":"https://www.agxntsix.ai"}}

Agent Memory 🧠

Full intelligence layer: vector memory + knowledge graph + structured database.

When to Use

Storing and recalling facts semantically ("remember that Abidi prefers...")
Managing structured data: projects, contacts, tasks, bookmarks
Setting up the brain stack after container rebuild
Batch seeding memory with key facts

Usage

Memory Engine (Mem0 — vectors + graph)

# Store a fact
python3 {baseDir}/scripts/memory_engine.py add "Abidi's business focuses on Voice AI"

# Semantic recall
python3 {baseDir}/scripts/memory_engine.py search "what does Abidi's business do"

# List all memories
python3 {baseDir}/scripts/memory_engine.py get-all

# Test connections (Qdrant, Neo4j, Langfuse)
python3 {baseDir}/scripts/memory_engine.py test

Structured Database (SQLite)

# List tables
python3 {baseDir}/scripts/structured_db.py tables

# Insert data
python3 {baseDir}/scripts/structured_db.py insert projects '{"name":"MyProject","status":"active"}'

# Query
python3 {baseDir}/scripts/structured_db.py query "SELECT * FROM projects"

Setup & Seeding

# Install Python deps after container rebuild
bash {baseDir}/scripts/setup_brain.sh

# Batch seed with key facts
python3 {baseDir}/scripts/seed_mem0.py

Architecture

Mem0 — Unified AI memory (auto fact extraction, dedup, multi-level recall)
Qdrant — Vector database for semantic search
Neo4j — Knowledge graph for entities & relationships
SQLite — Structured data (projects, contacts, tasks, bookmarks)
Langfuse — Observability tracing on all operations

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

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