# memlawb

> Use this tool when you need to securely store and manage AI agent memories with zero-knowledge encryption, providing durable and private data storage. It solves problems related to data privacy, security, and management, offering use cases such as saving, recalling, searching, listing, and deleting memories. With a self-hostable server and intuitive interface, it accepts memory inputs and returns searched or recalled memories, ideal for applications requiring secure and controlled data access.

Canonical page: https://skillsregistry.net/skills/gitlawb-memlawb  
JSON: https://api.skillsregistry.net/v1/skills/gitlawb-memlawb

## Description

Zero-knowledge, self-hostable MCP server providing encrypted durable memory for AI agents, with tools to save, recall, search, list, and delete memories.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dww7gxi8cm)
- **Repository:** <https://github.com/Gitlawb/memlawb>

## 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": "gitlawb-memlawb"
    }
  }
}
```

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