What is the primary focus of the Agent Memory Systems skill?

The skill focuses on the architecture and implementation of memory for intelligent agents, emphasizing retrieval strategies and cognitive organization over simple data storage.

What are 'Sharp Edges' in this skill context?

Sharp Edges identify critical issues like storage conflicts, token budgeting for memory types, and the importance of contextual chunking to avoid intelligence failures.

Can I use this for multi-agent systems?

Absolutely. It is designed to work well with related skills like autonomous-agents and multi-agent-orchestration to build complex, stateful AI teams.

How does this skill help with agent consistency?

It provides patterns for episodic and semantic memory, helping agents avoid 'forgetting' or providing inconsistent answers by ensuring the right context is retrieved at the right time.

Does it support specific vector database implementations?

Yes, it includes patterns for vector store selection to help you choose the right database and chunking strategy for your specific AI use case.

Agent Memory Systems

Name: Agent Memory Systems
Author: claudiodearaujo

byclaudiodearaujo

データサイエンスとML

Architects sophisticated memory systems for intelligent agents, optimizing retrieval strategies and cognitive data structures for persistence.

概要

The Agent Memory Systems skill is designed for developers building high-functioning AI agents that require more than just a transient context window. It provides a comprehensive framework for implementing cognitive architectures, including short-term, long-term, and working memory. By focusing on the critical challenges of retrieval rather than just storage, this skill helps you master chunking strategies, embedding quality, and vector store selection. Use it to prevent intelligence failures caused by memory loss and ensure your agents maintain consistency and relevance across millions of interactions.

主な機能

Advanced retrieval-augmented generation (RAG) strategies
Optimal document chunking and embedding patterns
Multi-tier memory architecture (Short-term, Long-term, Working)
Contextual chunking techniques for high-precision retrieval
Temporal scoring and memory decay implementation
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ユースケース

Building autonomous agents that maintain state and personality across long sessions
Designing cognitive architectures for persistent AI assistants and expert systems
Implementing complex RAG systems for specialized domain-specific knowledge bases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front agent-memory-systems

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要