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Agent Memory
ASecurityFull 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.
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- Added September 5, 2026
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[](https://www.skillsdirectory.com/skills/dvcrn-agent-memory)---
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
---
# 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)
Files in this skill
- SKILL.md
- scripts/memory_engine.py
- scripts/seed_mem0.py
- scripts/setup_brain.sh
- scripts/structured_db.py
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