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Claudiodrews Memory Os
ASecurityHệ thống bộ nhớ 7 lớp chạy local dành cho AI agent — SQLite + Qdrant + Fabric, zero cloud dependency. Agent nhớ project, decision, reasoning pattern xuyên session.
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- Added September 9, 2026
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96/100- Uses curl or wget to download content
npx -y skills add yanacuti1121/Yana-AI --skill claudiodrews--memory-os --agent claude-codeAre you the author of Claudiodrews Memory Os?
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[](https://www.skillsdirectory.com/skills/yanacuti1121-claudiodrews-memory-os)---
name: claudiodrews--memory-os
description: "Hệ thống bộ nhớ 7 lớp chạy local dành cho AI agent — SQLite + Qdrant + Fabric, zero cloud dependency. Agent nhớ project, decision, reasoning pattern xuyên session."
allowed-tools: Bash, Read, Write
user-invocable: true
---
Memory OS biến Hermes Agent (hoặc bất kỳ LLM agent nào) thành collaborator dài hạn: nhớ đủ thứ giữa các session mà không cần cloud, không vendor lock-in.
## 7 Lớp Kiến Trúc
```
Layer 1 — Workspace Files
MEMORY.md, USER.md, CREATIVE.md inject vào system prompt mỗi turn
Layer 2 — Session History
SQLite + FTS5 full-text search — archive toàn bộ conversation
Layer 3 — Structured Facts
Entity resolution + trust scoring + auto feedback loop
Layer 4 — Fabric (Cross-Session Extraction)
LLM-powered summarization, 16 tools: fabric_recall, fabric_write, fabric_brief
Layer 5 — Vector Database
Qdrant 4096-dim cosine + BM25 sparse, fallback: hybrid→dense→lexical→SQLite
Weekly decay scan + semantic dedup (cosine > 0.92)
Layer 6 — Auto-Curated Wiki
Self-organizing knowledge vault: concepts, entities, comparisons → Qdrant
Layer 7 — Ground Truth Hierarchy
SOUL.md + rulebook.md — injected memory = authoritative
Ngăn agent re-discover context đã có → tiết kiệm token
```
## Install
```bash
# One-command setup — Docker orchestrate Qdrant + Redis + ARQ worker
curl -fsSL https://raw.githubusercontent.com/ClaudioDrews/memory-os/main/install.sh -o /tmp/memory-os-install.sh
# Inspect first: head -40 /tmp/memory-os-install.sh — then run if safe:
bash /tmp/memory-os-install.sh
```
## Core Tools (Fabric Layer)
```python
fabric_recall(query, n=5) # semantic search memory
fabric_write(content, tags) # lưu fact mới
fabric_brief(session_id) # summarize session → store
```
## Tích Hợp
```python
# Compatible với bất kỳ LLM provider nào Hermes support
# OpenRouter, OpenAI, Anthropic, Ollama, local models
# Databases:
# state.db — session history
# memory_store.db — facts + HRR (hierarchical relation)
# Qdrant — semantic vectors
```
## So Với Alternatives
| Feature | Memory OS | mem0 | Zep | Letta |
|---------|-----------|------|-----|-------|
| Fully local | ✅ | ❌ | ❌ | ❌ |
| Ground Truth layer | ✅ | ❌ | ❌ | ❌ |
| Trust-scored facts | ✅ | ❌ | ✅ | ❌ |
| Self-curating wiki | ✅ | ❌ | ❌ | ❌ |
| No subscription | ✅ | ❌ | ❌ | ❌ |
## Layer 7 — Quan Trọng Nhất
Nếu không có Ground Truth ranking: agent bỏ qua injected context, gọi API tìm lại thứ đã có trong prompt → waste token + slow.
Layer 7 force agent treat injected memory là authoritative source.
## Source
https://github.com/ClaudioDrews/memory-os · MIT
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