# Memory

> Use this tool when you need to manage persistent context across chat sessions and build a comprehensive knowledge base for project-based work. It solves problems of information loss and discontinuity in long-term collaborations, such as software development, research, or writing projects. The Memory tool takes in project directories and user inputs, and outputs a structured and searchable knowledge base stored as markdown files.

Canonical page: https://skillsregistry.net/skills/ebailey78-memory  
JSON: https://api.skillsregistry.net/v1/skills/ebailey78-memory

## Description

This MCP server provides structured memory management for Claude Desktop, enabling persistent context across chat sessions within project directories. It stores memories as markdown files organized by type (entity, concept, session), indexes them with Lunr.js for efficient retrieval, and offers tools for creating, searching, updating, and relating memories. Designed specifically for project-based work, it helps Claude maintain continuity and build a comprehensive knowledge base about each project over time, making it particularly valuable for long-term collaborations in software development, research, or writing projects.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ebailey78-memory)
- **Repository:** <https://github.com/ebailey78/mcp-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": "ebailey78-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ebailey78-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ebailey78-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