# jarvis-memory-architecture

> jarvis-memory-architecture — psychotechv4-jarvis-memory-architecture. Use this tool when you need to optimize memory management for AI agents, solving problems of data retention and recall in complex systems. It provides a universal memory architecture that integrates with various AI frameworks, accepting input data and outputting organized knowledge structures. Ideal for use in applications requiring efficient information storage and retrieval, such as chatbots, virtual assistants, and machine learning models.

Canonical page: https://skillsregistry.net/skills/psychotechv4-jarvis-memory-architecture  
JSON: https://api.skillsregistry.net/v1/skills/psychotechv4-jarvis-memory-architecture

## Description

Universal memory architecture for AI agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/psychotechv4-jarvis-memory-architecture)

## 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": "psychotechv4-jarvis-memory-architecture"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/psychotechv4-jarvis-memory-architecture` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/psychotechv4-jarvis-memory-architecture/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