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    Dexploarer

    memory-manager

    Dexploarer/memory-manager
    Productivity
    5
    1 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
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    ├─
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    About

    Manage elizaOS agent memory, context windows, and conversation history. Triggers on "manage memory", "optimize context", or "handle agent memory"

    SKILL.md

    Memory Manager Skill

    Optimize agent memory usage, implement pruning strategies, and manage conversation context effectively.

    Capabilities

    1. 🧠 Memory pruning and optimization
    2. 📊 Context window management
    3. 🗂️ Conversation history archiving
    4. 🎯 Important memory consolidation
    5. 🔄 Memory decay implementation
    6. 📈 Memory usage monitoring

    Memory Types

    Short-term Memory

    • Current conversation context
    • Working memory (max 50 items default)
    • Cleared per session

    Long-term Memory

    • Important facts and information
    • Persistent across sessions
    • Decay modeling over time

    Knowledge

    • Static facts from configuration
    • Document-based knowledge
    • Dynamically learned information

    Memory Operations

    // Create memory
    await runtime.createMemory({
      entityId: userId,
      roomId: conversationId,
      content: {
        text: 'Important information',
        metadata: { importance: 'high' }
      },
      embedding: await generateEmbedding(text)
    });
    
    // Retrieve memories
    const memories = await runtime.getMemories({
      roomId: conversationId,
      limit: 10,
      unique: true
    });
    
    // Search semantically
    const results = await runtime.searchMemories(
      'query text',
      {
        roomId: conversationId,
        limit: 5,
        minScore: 0.7
      }
    );
    
    // Update memory
    await runtime.updateMemory({
      id: memoryId,
      content: { ...updated content },
      metadata: { lastAccessed: Date.now() }
    });
    

    Pruning Strategies

    Time-based Pruning

    async function pruneOldMemories(
      runtime: IAgentRuntime,
      daysToKeep: number = 30
    ): Promise<number> {
      const cutoffDate = Date.now() - (daysToKeep * 24 * 60 * 60 * 1000);
    
      const oldMemories = await runtime.getMemories({
        createdBefore: cutoffDate,
        importance: 'low'
      });
    
      for (const memory of oldMemories) {
        await runtime.deleteMemory(memory.id);
      }
    
      return oldMemories.length;
    }
    

    Size-based Pruning

    async function pruneLargeMemories(
      runtime: IAgentRuntime,
      maxSize: number = 1000
    ): Promise<void> {
      const memories = await runtime.getMemories({ limit: 10000 });
    
      if (memories.length > maxSize) {
        // Keep most important and recent
        const toKeep = rankMemoriesByImportance(memories).slice(0, maxSize);
        const toDelete = memories.filter(m => !toKeep.includes(m));
    
        for (const memory of toDelete) {
          await runtime.deleteMemory(memory.id);
        }
      }
    }
    

    Best Practices

    1. Set appropriate conversationLength limits
    2. Implement importance scoring
    3. Use memory decay for temporal relevance
    4. Archive important conversations
    5. Monitor memory growth
    6. Prune regularly
    7. Use embeddings for semantic search
    8. Cache frequently accessed memories
    9. Batch memory operations
    10. Index memories properly
    Recommended Servers
    Memory Tool
    Memory Tool
    supermemory
    supermemory
    AgentMail
    AgentMail
    Repository
    dexploarer/hyper-forge
    Files