# Simple Memory Extension

> Use this tool when you need to extend the context window of AI agents and maintain long-term memory across conversations or complex tasks. It provides a persistent key-value memory store with semantic search capabilities, allowing for retrieval of contextual information by meaning. Ideal for use cases requiring information recall beyond exact key matches, such as multi-step tasks or conversational dialogue.

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

## Description

A persistent key-value memory store with semantic search capabilities, built to extend context windows for AI agents. Uses SQLite for storage, supports namespaces and chunking, and leverages the E5 multilingual embedding model to enable retrieval of contextual information by meaning rather than just exact key matches. Particularly useful for maintaining long-term memory and context across conversations or complex multi-step tasks.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/simple-memory-extension)
- **Repository:** <https://github.com/gmacev/simple-memory-extension-mcp-server>

## 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": "simple-memory-extension"
    }
  }
}
```

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