# misMEM

> misMEM — lucasmella-stack-mismem. Use this tool when you need to enhance the memory capabilities of large language models (LLMs) to retain information across sessions. misMEM solves the problem of ephemeral memory in LLMs by providing a persistent and cooperative memory storage solution using SQLite. It captures, recalls, and manages memories through a range of tools, making it ideal for applications requiring long-term knowledge retention and recall.

Canonical page: https://skillsregistry.net/skills/lucasmella-stack-mismem  
JSON: https://api.skillsregistry.net/v1/skills/lucasmella-stack-mismem

## Description

Provides persistent, cooperative memory for LLMs via MCP, with SQLite storage and tools for capturing, recalling, consolidating, crystallizing, and forgetting memories across sessions.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fo7gvqcftp)
- **Repository:** <https://github.com/lucasmella-stack/misMEM>

## 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": "lucasmella-stack-mismem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucasmella-stack-mismem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucasmella-stack-mismem/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