# Stellar Memory

> Use this tool when you need to retain information locally without relying on external APIs or keys, as Stellar Memory provides a persistent AI memory solution using orbital mechanics, allowing for secure and native data storage and retrieval. It solves problems related to data privacy and security, enabling autonomous AI operations. Ideal for applications requiring self-contained and reliable memory management.

Canonical page: https://skillsregistry.net/skills/io-github-sangjun0000-stellar-memory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-sangjun0000-stellar-memory

## Description

Persistent AI memory using orbital mechanics. 100% local, zero API keys, MCP-native.

## Trust

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

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.sangjun0000%2Fstellar-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": "io-github-sangjun0000-stellar-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-sangjun0000-stellar-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-sangjun0000-stellar-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