# mem-persistence

> Use this tool when you need to store and retrieve shared context across multiple AI agents, enabling persistent memory and reducing data duplication. It solves problems of knowledge fragmentation and inconsistency by providing a centralized repository of memories in Markdown files. With hybrid search and deduplication capabilities, it accepts memory inputs and returns relevant information, making it ideal for applications requiring shared knowledge and context.

Canonical page: https://skillsregistry.net/skills/emiliotorrens-mem-persistence  
JSON: https://api.skillsregistry.net/v1/skills/emiliotorrens-mem-persistence

## Description

Persistent memory MCP server that stores and retrieves memories in Markdown files, enabling shared context across multiple AI agents with hybrid search and deduplication.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2ux7uut6e)
- **Repository:** <https://github.com/emiliotorrens/mem-persistence>

## 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": "emiliotorrens-mem-persistence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emiliotorrens-mem-persistence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emiliotorrens-mem-persistence/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