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Agent Memory Systems (Alex)

作者 shendingyi · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install alex-agent-memory-systems
功能描述
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-te...
使用说明 (SKILL.md)

Agent Memory Systems

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

Capabilities

  • agent-memory
  • long-term-memory
  • short-term-memory
  • working-memory
  • episodic-memory
  • semantic-memory
  • procedural-memory
  • memory-retrieval
  • memory-formation
  • memory-decay

Patterns

Memory Type Architecture

Choosing the right memory type for different information

Vector Store Selection Pattern

Choosing the right vector database for your use case

Chunking Strategy Pattern

Breaking documents into retrievable chunks

Anti-Patterns

❌ Store Everything Forever

❌ Chunk Without Testing Retrieval

❌ Single Memory Type for All Data

⚠️ Sharp Edges

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
Issue medium ## Track embedding model in metadata

Related Skills

Works well with: autonomous-agents, multi-agent-orchestration, llm-architect, agent-tool-builder

安全使用建议
This is a safe, high-level guidance skill about memory systems—it doesn't install anything or ask for secrets. It can be invoked autonomously by agents (the platform default), which is normal; if you plan to pair it with connectors or vector stores, those other skills or integrations may require credentials—review those separately before granting access. If you expected an implementation or connectors, note this skill only provides architectural advice and patterns, not code or integrations.
功能分析
Type: OpenClaw Skill Name: alex-agent-memory-systems Version: 1.0.0 The skill bundle consists entirely of conceptual documentation and metadata regarding agent memory architectures, such as vector stores and chunking strategies. It contains no executable code, scripts, or instructions that suggest malicious intent or security risks. The content in SKILL.md is purely educational and lacks any triggers for data exfiltration or unauthorized system access.
能力评估
Purpose & Capability
The name/description (agent memory architecture) matches the SKILL.md content (patterns, anti-patterns, chunking, vector stores). No unrelated capabilities or external services are requested.
Instruction Scope
SKILL.md contains guidance and architecture patterns only; it does not instruct the agent to read files, access environment variables, call external endpoints, or perform any hidden actions.
Install Mechanism
No install spec or code files are present. This instruction-only skill writes nothing to disk and does not download or execute external code.
Credentials
The skill declares no required environment variables, credentials, or config paths; there is no disproportionate access requested relative to its purpose.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or modify other skills or system settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install alex-agent-memory-systems
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /alex-agent-memory-systems 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of agent-memory-systems skill. - Introduces foundational concepts of agent memory, covering short-term, long-term, and various memory types. - Details core patterns: memory type selection, vector store selection, and chunking strategies. - Lists anti-patterns—what not to do when designing agent memory. - Documents common pitfalls ("sharp edges") and mitigation strategies for real-world deployments. - Highlights compatibility with related skills such as autonomous agents and multi-agent orchestration.
元数据
Slug alex-agent-memory-systems
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Agent Memory Systems (Alex) 是什么?

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-te... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 131 次。

如何安装 Agent Memory Systems (Alex)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install alex-agent-memory-systems」即可一键安装,无需额外配置。

Agent Memory Systems (Alex) 是免费的吗?

是的,Agent Memory Systems (Alex) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Agent Memory Systems (Alex) 支持哪些平台?

Agent Memory Systems (Alex) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Agent Memory Systems (Alex)?

由 shendingyi(@shendingyi)开发并维护,当前版本 v1.0.0。

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