elite-longterm-memory
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.
Skill by aAAaqwq
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
Use cases: productivity, agent-building
Reviews
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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.
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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
- Repository
- github.com/aAAaqwq/AGI-Super-Team
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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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)