# Ace Memory

> Use this tool when you need to enable AI agents to store and retrieve information persistently, leveraging semantic search and memory graphs to solve knowledge retention and recall problems. Ace Memory provides a robust interface for inputting and outputting data, utilizing W3C DID identity for secure and decentralized management. Ideal for use cases requiring long-term memory and knowledge management in AI systems.

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

## Description

Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rudedoggg%2Face-memory)

## Use it

MCP endpoint published by the skill: `https://ais.agentsandswarms.ai/mcp`

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": "io-github-rudedoggg-ace-memory"
    }
  }
}
```

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