# Archetypal AI

> Use this tool when you need to enable AI agents to retain memory across sessions, solving problems of context loss and knowledge retention. It provides a persistent memory interface that accepts input from AI agents and outputs stored context, facts, and state, allowing for seamless recall and preservation of information. Ideal for use cases where continuity and knowledge accumulation are crucial, such as chatbots, virtual assistants, and machine learning models.

Canonical page: https://skillsregistry.net/skills/archetypal-ai  
JSON: https://api.skillsregistry.net/v1/skills/archetypal-ai

## Description

Provides persistent memory for AI agents through three core tools: recall restores previous session context, remember inscribes facts into permanent storage, and checkpoint preserves full agent state before shutdown. The server runs on Cloudflare Workers with Durable Objects for storage, accessible both as a stdio MCP server via npm and as a hosted remote endpoint. Memory persists across sessions with no account or API key required.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/archetypal-ai)
- **Repository:** <https://github.com/archetypal-ai/archetypal-ai>

## 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": "archetypal-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/archetypal-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/archetypal-ai/pull`

---
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