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elite-longterm-memory

Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.

Skill by aAAaqwq

IndexedMIT★ 111
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/aaaaqwq-elite-longterm-memory

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.

Use cases: productivity, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Node.js package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/elite-longterm-memory

What's inside

Skill name
elite-longterm-memory
Description
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
License
MIT
Instructions
395 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (5)

  • README.md
  • SKILL.md
  • _meta.json
  • elite-memory.js · bin/
  • package.json

SKILL.md (first lines)

# Elite Longterm Memory 🧠

**The ultimate memory system for AI agents.** Combines 6 proven approaches into one bulletproof architecture.

Never lose context. Never forget decisions. Never repeat mistakes.

## Architecture Overview

```
┌─────────────────────────────────────────────────────────────────┐
│                    ELITE LONGTERM MEMORY                        │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐             │
│  │   HOT RAM   │  │  WARM STORE │  │  COLD STORE │             │
│  │             │  │             │  │             │             │
│  │ SESSION-    │  │  LanceDB    │  │  Git-Notes  │             │
│  │ STATE.md    │  │  Vectors    │  │  Knowledge  │             │
│  │             │  │             │  │  Graph      │             │
│  │ (survives   │  │ (semantic   │  │ (permanent  │             │
│  │  compaction)│  │  search)    │  │  decisions) │             │
│  └─────────────┘  └─────────────┘  └─────────────┘             │
│         │                │                │                     │
│         └────────────────┼────────────────┘                     │
│                          ▼                                      │
│                  ┌─────────────┐                                │
│                  │  MEMORY.md  │  ← Curated long-term           │
│                  │  + daily/   │    (human-readable)            │
│                  └─────────────┘                                │
│                          │                                      │
│                          ▼                                      │
│                  ┌─────────────┐                                │
│                  │ SuperMemory │  ← Cloud backup (optional)     │
│                  │    API      │                                │
│                  └─────────────┘                                │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘
```

## The 5 Memory Layers

### Layer 1: HOT RAM (SESSION-STATE.md)
**From: bulletproof-memory**

Active working memory that survives compaction. Write-Ahead Log protocol.

```markdown
# SESSION-STATE.md — Active Working Memory

## Current Task
[What we're working on RIGHT NOW]

## Key Context
- User preference: ...
- Decision made: ...
- Blocker: ...

## Pending Actions
- [ ] ...
```

**Rule:** Write BEFORE responding. Triggered by user input, not agent memory.

### Layer 2: WARM STORE (LanceDB Vectors)
**From: lancedb-memory**

Semantic search across all memories. Auto-recall injects relevant context.

```bash
# Auto-recall (happens automatically)
memory_recall query="project status" limit=5

# Manual store
memory_store text="User prefers dark mode" category="preference" importance=0.9
```

### Layer 3: COLD STORE (Git-Notes Knowledge Graph)
**From: git-notes-memory**

Structured decisions, learnings, and context. Branch-aware.

```bash
# Store a decision (SILENT - never announce)
python3 memory.py -p $DIR remember '{"type":"decision","content":"Use React for frontend"}' -t tech -i h

# Retrieve context
python3 memory.py -p $DIR get "frontend"
```

### Layer 4: CURATED ARCHIVE (MEMORY.md + daily/)
**From: OpenClaw native**

Human-readable long-term memory. Daily logs + distilled wisdom.

```
workspace/
├── MEMORY.md              # Curated long-term (the good stuff)
└── memory/
    ├── 2026-01-30.md      # Daily log
    ├── 2026-01-29.md
    └── topics/            # Topic-specific files
```

### Layer 5: CLOUD BACKUP (SuperMemory) — Optional
**From: supermemory**

Cross-device sync. Chat with your knowledge base.

```bash
export SUPERMEMORY_API_KEY="your-key"
supermemory add "Important context"
supermemory search "what did we decide about..."
```

### Layer 6: AUTO-EXTRACTION (Mem0) — Recommended
**NEW: Automatic fact extraction**

Mem0 automatically extracts facts from conversations. 80% token reduction.

From aAAaqwq/AGI-Super-Team, MIT.

More from aAAaqwq/AGI-Super-Team

Signals

Stars
111
Forks
25
Open issues
1
Last commit (this folder)
Apr 24, 2026 (6 months ago)
Last release
Sep 20, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

elite-longterm-memory skill. Agent Mart. https://agentmart.dev/skills/aaaaqwq-elite-longterm-memory (last updated 2026-10-24)