# Lex

> Use this tool when you need to enhance AI agents with episodic memory and architectural policy, enabling them to learn from experiences and make informed decisions. Lex solves problems related to knowledge retention, decision-making, and adaptive behavior, providing a framework for agents to frame, map, and navigate complex environments. It takes in experiential data and outputs optimized policy decisions, ideal for use in dynamic, uncertain, or rapidly changing contexts.

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

## Description

Episodic memory and architectural policy for AI agents. Frames, Atlas, and Policy.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-16

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Guffawaffle%2Flex)
- **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": "io-github-guffawaffle-lex"
    }
  }
}
```

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