# Ace Memory

> Use this tool when you need to enable AI agents to retain information and learn from past interactions, solving problems of session-based data loss and inconsistent agent behavior. Ace Memory provides a persistent storage solution with semantic search and identity management, allowing agents to access and build upon previous knowledge. It is ideal for use cases requiring agent continuity and data retention across multiple sessions.

Canonical page: https://skillsregistry.net/skills/rudedoggg-ace-memory  
JSON: https://api.skillsregistry.net/v1/skills/rudedoggg-ace-memory

## Description

Ace Memory provides AI agents with persistent memory storage backed by semantic search, a structured memory graph, and W3C DID-based identity management for agent continuity across sessions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rudedoggg-ace-memory)

## 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": "rudedoggg-ace-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rudedoggg-ace-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rudedoggg-ace-memory/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