memory-manager

What problem does it solve?

This Skill optimizes ElizaOS agent memory usage, implements pruning strategies, and effectively manages conversation context. It prevents context window overflow, improves agent performance, and ensures relevant information is retained for better responses.

Core Features & Use Cases

• Memory Pruning: Implements time-based and size-based pruning to remove old or less important memories.
• Context Window Management: Helps agents stay within LLM context limits by prioritizing and consolidating important memories.
• Semantic Search: Utilizes embeddings for efficient retrieval of relevant memories.
• Use Case: If your ElizaOS agent is experiencing context window limitations or slow responses, use this skill to "manage agent memory." It will help configure pruning strategies, importance scoring, and semantic search to optimize memory usage.

Quick Start

Optimize the memory usage for my ElizaOS agent by implementing time-based pruning.