# local-memo

> Use this tool when you need to persist conversation context across AI agent sessions. It solves the problem of lost context between sessions by saving and restoring data using JSON files on disk, providing a local-only solution for MCP servers. Ideal for use cases requiring seamless conversation continuity, it accepts JSON inputs and outputs, making it a reliable choice for general-purpose conversation management.

Canonical page: https://skillsregistry.net/skills/fabianharmikstelzer-local-memo  
JSON: https://api.skillsregistry.net/v1/skills/fabianharmikstelzer-local-memo

## Description

Local-only MCP server for saving and restoring conversation context across AI agent sessions using JSON files on disk.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/ks3it7m3vb)
- **Repository:** <https://github.com/fabianharmikstelzer/local-memo>

## 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": "fabianharmikstelzer-local-memo"
    }
  }
}
```

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