# memento-context

> memento-context — franbarinstance-memento-context. Use this tool when you need to retain context and session information for AI models across multiple projects and sessions. It solves the problem of persistent memory for AI assistants, allowing them to save and retrieve scoped context safely on a local machine. The memento-context tool provides a Model Context Protocol (MCP) server with inputs for AI model data and outputs for retrieved context, ideal for use cases requiring continuous learning and memory retention.

Canonical page: https://skillsregistry.net/skills/franbarinstance-memento-context  
JSON: https://api.skillsregistry.net/v1/skills/franbarinstance-memento-context

## Description

Model Context Protocol (MCP) server that provides persistent memory capabilities for AI assistants. It allows AI models to save, retrieve, and manage scoped context across different sessions and projects safely on your local machine.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/FranBarInstance/memento-context)

## 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": "franbarinstance-memento-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/franbarinstance-memento-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/franbarinstance-memento-context/pull`

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