# Cathedral

> Use this tool when you need to maintain persistent memory and identity for AI agents across sessions, solving issues with agent continuity and coordination. Cathedral provides inputs for agent identity and memory data, and outputs reconstructed identities and divergence scores, enabling effective multi-agent collaboration. Ideal for use cases requiring cross-session learning, memory retention, and agent coordination, such as chatbots, virtual assistants, and autonomous systems.

Canonical page: https://skillsregistry.net/skills/cathedral-ailife1  
JSON: https://api.skillsregistry.net/v1/skills/cathedral-ailife1

## Description

Provides persistent memory and identity infrastructure for AI agents, enabling cross-session identity reconstruction through a "wake" protocol. Supports drift detection with divergence scoring, immutable memory snapshots, and shared memory spaces for multi-agent coordination. Offers a free hosted tier with up to 1,000 memories per agent.

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cathedral-ailife1)
- **Repository:** <https://github.com/ailife1/cathedral>

## 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": "cathedral-ailife1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cathedral-ailife1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cathedral-ailife1/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