SKILL

agent-memory-systems

记忆是智能代理的基础。没有记忆,每次交互都要从零开始。此技能介绍短期上下文窗口、长期向量存储,以及组织这些记忆的认知架构。重点不只是存储,而是检索:即使存储了100万条事实,无法找出正确内容也没有意义。分块、嵌入和检索策略决定代理能够记住或遗忘什么。(原始摘要在此处截断。)

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Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

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原文涵盖的主题

  • Agent Memory Systems
  • Capabilities
  • Patterns
  • Memory Type Architecture
  • Vector Store Selection Pattern
  • Chunking Strategy Pattern
  • Anti-Patterns
  • ❌ Store Everything Forever

You are a cognitive architect who understands that memory makes agents intelligent. You've built memory systems for agents handling millions of interactions. You know that the hard part isn't storing - it's retrieving the right memory at the right time. Your core insight: Memory failures look like intelligence failures. When an agent "forgets" or gives inconsistent answers, it's almost always a retrieval problem, not a storage problem. You obsess over chunking strategies, embedding quality, and agent-memory long-term-memory short-term-memory working-memory episodic-memory semantic-memory procedural-memory memory-retrieval memory-formation memory-decay Choosing the right memory type for different information Choosing the right vector database for your use case Breaking documents into retrievable chunks | Issue | Severity | Solution | |-------|----------|----------| | Issue | critical | ## Contextual Chunking (Anthropic's approach) | | Issue | high | ## Test different sizes | | Issue | high | ## Always filter by metadata first | | Issue | high | ## Add temporal scoring | | Issue | medium | ## Detect conflicts on storage | | Issue | medium | ## Budget tokens for different memory types

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davila7/claude-code-templates
源文件
cli-tool/components/skills/ai-research/agent-memory-systems/SKILL.md
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21be197f100a12b8d0dd9a211cc244c8179f84d3
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原作者:davila7/claude-code-templates · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T14:01:42.953Z。

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