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elite-longterm-memory

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

Skill by wch887292

IndexedApache-2.0★ 2
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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/wch887292-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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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
Apache-2.0
Instructions
395 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (6)

  • README.md
  • SKILL.md
  • _meta.json
  • _skillhub_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 wch887292/feihong-code, Apache-2.0.

More from wch887292/feihong-code

Signals

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Last commit (this folder)
Oct 16, 2026 (20 days ago)
Last release
Oct 22, 2026 (14 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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elite-longterm-memory skill. Agent Mart. https://agentmart.dev/skills/wch887292-elite-longterm-memory (last updated 2026-10-24)