rag-and-memory
OfficialEfficient knowledge retrieval and memory management for AI agents
AuthorDevelopersGlobal
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenges of knowledge retrieval and memory management for AI agents, ensuring accurate, grounded answers and maintaining coherent state across sessions.
Core Features & Use Cases
- Retrieval-Augmented Generation (RAG): Retrieves only relevant context to prevent context bloat and maintain coherent state.
- Memory Systems: Provides patterns for ephemeral, session-persistent, knowledge base, and procedural memory systems.
- Use Case: Ideal for building Q&A systems, document analysis, or knowledge base systems where agents need to access external knowledge and remember information across sessions.
Quick Start
Load the rag-and-memory skill into your AI agent's context and ask for information on a specific topic.
Dependency Matrix
Required Modules
None requiredComponents
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: rag-and-memory Download link: https://github.com/DevelopersGlobal/ai-agent-skills/archive/main.zip#rag-and-memory Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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