# Lex

> Use this tool when you need to maintain a persistent memory for AI agents across work sessions, solving problems of data loss and inconsistency. Lex provides a SQLite backend with optional encryption, accepting inputs of frame-based memory operations and policy validation, and outputting analyzed architectural data. It is ideal for use cases requiring secure and reliable data storage and retrieval in AI applications.

Canonical page: https://skillsregistry.net/skills/guffawaffle-lex  
JSON: https://api.skillsregistry.net/v1/skills/guffawaffle-lex

## Description

Lex enables AI agents to maintain persistent memory across work sessions. It provides tools for frame-based memory operations, policy validation, and architectural analysis using a SQLite backend with optional encryption.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/guffawaffle-lex)
- **Repository:** <https://github.com/guffawaffle/lex>

## 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": "guffawaffle-lex"
    }
  }
}
```

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

---
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