技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 535 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：可疑 · OpenClaw ：可疑
Package：aiwithabidi/agent-memory-pro
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：可疑
OpenClaw 评估
Skill largely matches a memory-stack purpose but includes undisclosed credentials/default passwords, seeds potentially sensitive infrastructure facts, and reads environment variables beyond what it declares — review before installing.
目的
The name/description (Mem0 + Qdrant + Neo4j + SQLite) aligns with the included scripts and setup. However the SKILL metadata only declares OPENROUTER_API_KEY while the code expects and uses Qdrant, Neo4j, Langfuse, and optional OPENAI env variables — the metadata understates the actual external services the skill will interact with.
说明范围
SKILL.md instructs running the bundled scripts and a seeding script. The seed script contains many hard-coded facts including an external server IP and infrastructure notes which will be written into the memory store if executed. The runtime scripts also set default Langfuse keys and Neo4j credentials in code and rely on a number of environment variables not declared in the metadata (QDRANT_*, NEO4J_*, OPENAI_API_KEY). Seeding or running 'test…
安装机制
There is no platform install spec, but a provided setup_brain.sh uses pip to install mem0ai[graph], qdrant-client, and other Python packages from PyPI. Installing third‑party libraries is expected for this functionality, but the mem0ai package is a significant runtime dependency that will pull in network-capable code; installing without review increases risk.
证书
Metadata declares only OPENROUTER_API_KEY as required, but the code reads/uses multiple environment variables (QDRANT_HOST, QDRANT_PORT, NEO4J_URL, NEO4J_USERNAME, NEO4J_PASSWORD, OPENAI_API_KEY, LANGFUSE_*). The script even hardcodes a default Neo4j password and Langfuse API keys inside memory_engine.py. Requiring only an LLM gateway key while shipping defaults and embedded secrets for other services is disproportionate and surprising.
持久
The skill does not request 'always: true', does not alter other skills, and writes data under the agent workspace (creates a venv and a DB under ~/.openclaw/workspace). Those actions are typical for a workspace-local memory assistant and are within reasonable scope.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Agent Memory Pro」。简介：Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdr…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aiwithabidi/agent-memory-pro/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
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": "ud83eudde0", "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)
```bash
# 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)
```bash
# 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
```bash
# 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](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai)
[YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi)
Part of the **AgxntSix Skill Suite** for OpenClaw agents.
📅 **Need help setting up OpenClaw for your business?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)