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BytesAgain › Skills › QuickRecall - Zero-Dependency Memory Engine. 常用记忆优先出现。零依赖 AI 记忆引擎，纯 Node.js。/ Prioritizes frequently used memories. Zero deps.
🦀 ClawHub

QuickRecall - Zero-Dependency Memory Engine. 常用记忆优先出现。零依赖 AI 记忆引擎，纯 Node.js。/ Prioritizes frequently used memories. Zero deps.

by @chen-feng123

Persistent memory engine for AI agents with semantic recall, hotness prioritization, importance weighting, time decay, and auto-compaction. Zero external dep...

Versionv1.0.5
Downloads433
#crypto#clawhub
TERMINAL
clawhub install quickrecall

📖 About This Skill

name: memory-enhancement-engine description: Persistent memory engine for AI agents with semantic recall, hotness prioritization, importance weighting, time decay, and auto-compaction. Zero external dependencies. Pure Node.js. tags: - memory - persistent - semantic-search - hotness - recall - ai-agent - nodejs features: - Hotness-prioritized recall - Semantic search (bigram + character overlap) - Importance weighting (0-2.0) - Exponential time decay - Auto-compaction and pruning - Zero external dependencies - Pure Node.js

Memory Enhancement Engine

记忆增加引擎 — Persistent memory engine with hotness-prioritized semantic recall.

Memories that are recalled more often appear first — not just keyword matches.

Quick Start

# Node.js API
const { MemorySystem } = require('./memory-enhancement-engine/memory.js');
const mem = new MemorySystem();
CLI tool (view / search / compact)

node memory-enhancement-engine/memo.cjs status
node memory-enhancement-engine/memo.cjs query "something to find"

Core Usage

const { MemorySystem } = require('./memory-enhancement-engine/memory.js');
// Create engine (stores to MEMORY_STORE.json automatically)
const mem = new MemorySystem({ decayHalfLifeHours: 2 });
// Write a memory
mem.add({
  content: "Paris is the capital of France.",
  importance: 1.5,
  metadata: { tags: ["geography", "fact"] }
});
// Semantic search
const results = mem.query("France capital");
console.log(results);
// Get recent memories
const recent = mem.recent(10);
// Compact old memories (summarize low-importance clusters)
mem.compact(5, 0.3);

API

| Method | Description | |--------|-------------| | add(content, importance, metadata) | Write a memory | | retrieve(query, k) | Semantic search (returns sorted by score) | | getRecent(n) | Get N most recent memories | | remove(predicate) | Remove memories matching predicate | | compact(groupSize, minImportance) | Compact old memories into summaries | | getStatus() | Get engine stats (count, size, etc.) |

Scoring Formula

score = similarity × 0.5 + recency × 0.3 + hotness × 0.2

Where hotness = log(1 + access_count) × exp(-time_delta / 86400)

Features

  • Hotness-Prioritized Recall — Frequently accessed memories get boosted scores
  • Semantic Search — Bigram overlap + character-level similarity
  • Importance Weighting — 0.0 (trivial) to 2.0 (critical)
  • Time Decay — Half-life configurable (default 2 hours)
  • Auto-Prune — Beyond 1000 entries, least important are pruned
  • Auto-Compaction — Merge low-importance groups into summaries
  • No Server Needed — Direct Node.js require, stores to local JSON

    • Installation

    | Method | Command | |--------|---------| | Copy | Copy memory.js + memo.cjs to your project | | ClawHub | clawhub install memory-enhancement-engine |

    File Structure

    memory-enhancement-engine/
├── SKILL.md
├── memory.js            # Core engine
├── memo.cjs             # CLI tool
├── package.json
├── assets/
│   └── icon.svg
├── references/
│   ├── API_SPEC.md
│   └── USE_GUIDE.md
└── scripts/
    ├── init-memory.mjs  # One-time migration
    └── test-client.js

    License

    MIT

    💡 Examples

    # Node.js API
const { MemorySystem } = require('./memory-enhancement-engine/memory.js');
const mem = new MemorySystem();
    CLI tool (view / search / compact)
    
node memory-enhancement-engine/memo.cjs status
node memory-enhancement-engine/memo.cjs query "something to find"