elite-longterm-memory
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.
Skill by wch887292
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
Use cases: productivity, agent-building
Reviews
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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.
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工程实战技能包
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面向真实软件工程流程的通用技能集:需求拷问、测试驱动开发、代码评审、架构优化、任务拆解。适配自 mattpocock/skills。
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全生命周期开发技能包
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专业图表设计
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持久记忆
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Code Review 代码审查
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 16, 2026 (13 days ago)
- Last release
- Oct 22, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/wch887292/feihong-code
- Website
- www.klai.top
- 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/wch887292-elite-longterm-memory (last updated 2026-10-24)