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shendingyi

Agent Memory Systems (Alex)

by shendingyi · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install alex-agent-memory-systems
Description
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-te...
README (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

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install alex-agent-memory-systems
  3. After installation, invoke the skill by name or use /alex-agent-memory-systems
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug alex-agent-memory-systems
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Agent Memory Systems (Alex)?

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-te... It is an AI Agent Skill for Claude Code / OpenClaw, with 131 downloads so far.

How do I install Agent Memory Systems (Alex)?

Run "/install alex-agent-memory-systems" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Agent Memory Systems (Alex) free?

Yes, Agent Memory Systems (Alex) is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Agent Memory Systems (Alex) support?

Agent Memory Systems (Alex) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Agent Memory Systems (Alex)?

It is built and maintained by shendingyi (@shendingyi); the current version is v1.0.0.

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