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# Elite Longterm Memory 🧠
**The ultimate memory system for AI agents.** Never lose context again.
[![npm version](https://img.shields.io/npm/v/elite-longterm-memory.svg?style=flat-square)](https://www.npmjs.com/package/elite-longterm-memory)
[![npm downloads](https://img.shields.io/npm/dm/elite-longterm-memory.svg?style=flat-square)](https://www.npmjs.com/package/elite-longterm-memory)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square)](https://opensource.org/licenses/MIT)
---
## Works With
<p align="center">
<img src="https://img.shields.io/badge/Claude-AI-orange?style=for-the-badge&logo=anthropic" alt="Claude AI" />
<img src="https://img.shields.io/badge/GPT-OpenAI-412991?style=for-the-badge&logo=openai" alt="GPT" />
<img src="https://img.shields.io/badge/Cursor-IDE-000000?style=for-the-badge" alt="Cursor" />
<img src="https://img.shields.io/badge/LangChain-Framework-1C3C3C?style=for-the-badge" alt="LangChain" />
</p>
<p align="center">
<strong>Built for:</strong> Clawdbot • Moltbot • Claude Code • Any AI Agent
</p>
---
Combines 7 proven memory approaches into one bulletproof architecture:
-**Bulletproof WAL Protocol** — Write-ahead logging survives compaction
-**LanceDB Vector Search** — Semantic recall of relevant memories
-**Git-Notes Knowledge Graph** — Structured decisions, branch-aware
-**File-Based Archives** — Human-readable MEMORY.md + daily logs
-**Cloud Backup** — Optional SuperMemory sync
-**Memory Hygiene** — Keep vectors lean, prevent token waste
-**Mem0 Auto-Extraction** — Automatic fact extraction, 80% token reduction
## Quick Start
```bash
# Initialize in your workspace
npx elite-longterm-memory init
# Check status
npx elite-longterm-memory status
# Create today's log
npx elite-longterm-memory today
```
## Architecture
```
┌─────────────────────────────────────────────────────┐
│ ELITE LONGTERM MEMORY │
├─────────────────────────────────────────────────────┤
│ HOT RAM WARM STORE COLD STORE │
│ SESSION-STATE.md → LanceDB → Git-Notes │
│ (survives (semantic (permanent │
│ compaction) search) decisions) │
│ │ │ │ │
│ └──────────────┼────────────────┘ │
│ ▼ │
│ MEMORY.md │
│ (curated archive) │
└─────────────────────────────────────────────────────┘
```
## The 5 Memory Layers
| Layer | File/System | Purpose | Persistence |
|-------|-------------|---------|-------------|
| 1. Hot RAM | SESSION-STATE.md | Active task context | Survives compaction |
| 2. Warm Store | LanceDB | Semantic search | Auto-recall |
| 3. Cold Store | Git-Notes | Structured decisions | Permanent |
| 4. Archive | MEMORY.md + daily/ | Human-readable | Curated |
| 5. Cloud | SuperMemory | Cross-device sync | Optional |
## The WAL Protocol
**Critical insight:** Write state BEFORE responding, not after.
```
User: "Let's use Tailwind for this project"
Agent (internal):
1. Write to SESSION-STATE.md → "Decision: Use Tailwind"
2. THEN respond → "Got it — Tailwind it is..."
```
If you respond first and crash before saving, context is lost. WAL ensures durability.
## Why Memory Fails (And How to Fix It)
| Problem | Cause | Fix |
|---------|-------|-----|
| Forgets everything | memory_search disabled | Enable + add OpenAI key |
| Repeats mistakes | Lessons not logged | Write to memory/lessons.md |
| Sub-agents isolated | No context inheritance | Pass context in task prompt |
| Facts not captured | No auto-extraction | Use Mem0 (see below) |
## Mem0 Integration (Recommended)
Auto-extract facts from conversations. 80% token reduction.
```bash
npm install mem0ai
export MEM0_API_KEY="your-key"
```
```javascript
const { MemoryClient } = require('mem0ai');
const client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
// Auto-extracts facts from messages
await client.add(messages, { user_id: "user123" });
// Retrieve relevant memories
const memories = await client.search(query, { user_id: "user123" });
```
## For Clawdbot/Moltbot Users
Add to `~/.clawdbot/clawdbot.json`:
```json
{
"memorySearch": {
"enabled": true,
"provider": "openai",
"sources": ["memory"]
}
}
```
## Files Created
```
workspace/
├── SESSION-STATE.md # Hot RAM (active context)
├── MEMORY.md # Curated long-term memory
└── memory/
├── 2026-01-30.md # Daily logs
└── ...
```
## Commands
```bash
elite-memory init # Initialize memory system
elite-memory status # Check health
elite-memory today # Create today's log
elite-memory help # Show help
```
## Links
- [Full Documentation (SKILL.md)](./SKILL.md)
- [ClawdHub](https://clawdhub.com/skills/elite-longterm-memory)
- [GitHub](https://github.com/NextFrontierBuilds/elite-longterm-memory)
---
Built by [@NextXFrontier](https://x.com/NextXFrontier)