build-agent-memory-systems
CommunityDesign and implement multi-tiered memory architecture for agents
AuthorEnigmaWU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of designing and implementing a multi-tiered memory architecture for autonomous agents, enabling them to retain context across sessions and avoid LLM amnesia.
Core Features & Use Cases
- Memory Configuration: Configure short-term working memory, semantic vector stores, and episodic event logs.
- Context Retention: Enable agents to remember facts from past sessions and retrieve relevant domain knowledge dynamically.
- Use Case: For architects or developers designing autonomous systems requiring deep personalization or long-running context.
Quick Start
Trigger the 'build-agent-memory-systems' skill to execute the defined workflow for designing an agent memory system.
Dependency Matrix
Required Modules
RAGVector Database
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: build-agent-memory-systems Download link: https://github.com/EnigmaWU/MyCodeAgentSkills/archive/main.zip#build-agent-memory-systems Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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