# agent-memory-system-public

> agent-memory-system-public — entangelk-agent-memory-system-public. Use this tool when you need to implement a hierarchical long-term memory architecture for AI assistants, enabling them to store and retrieve complex information. It solves problems related to knowledge retention and recall, allowing AI agents to learn from experiences and adapt to new situations. The system accepts input from various sources and outputs relevant information, making it suitable for applications requiring advanced memory management, such as conversational AI and decision support systems.

Canonical page: https://skillsregistry.net/skills/entangelk-agent-memory-system-public  
JSON: https://api.skillsregistry.net/v1/skills/entangelk-agent-memory-system-public

## Description

Hierarchical long-term memory architecture for AI assistants with MCP support

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/entangelk/agent-memory-system-public)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "entangelk-agent-memory-system-public"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/entangelk-agent-memory-system-public` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/entangelk-agent-memory-system-public/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt