# MemoryStar

> Use this tool when you need to retain and retrieve project-specific knowledge, including code architecture and history, to enhance AI coding agent productivity and accuracy. MemoryStar solves problems of knowledge loss and duplication of effort by providing a local, searchable repository of project information. It accepts project data as input and outputs relevant knowledge and insights to inform AI-driven coding decisions.

Canonical page: https://skillsregistry.net/skills/ussdeveloper-memory-star  
JSON: https://api.skillsregistry.net/v1/skills/ussdeveloper-memory-star

## Description

A local semantic memory MCP server for AI coding agents that provides persistent, searchable project knowledge including architecture notes, file symbols, git history, progress tracking, and a knowledge graph, all stored locally.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dv0jw7a1o5)
- **Repository:** <https://github.com/ussdeveloper/memory-star>

## 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": "ussdeveloper-memory-star"
    }
  }
}
```

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