# motif

> motif — motif-labs-motif. Use this tool when you need to unify and manage AI coding sessions across multiple agents, such as Claude Code, Codex, and Cursor, into a queryable graph of decisions and files. Motif solves problems of code inconsistencies and contradictions by flagging them for human review and automating PRs to maintain code integrity. It integrates with git and operates self-hosted, without relying on cloud services.

Canonical page: https://skillsregistry.net/skills/motif-labs-motif  
JSON: https://api.skillsregistry.net/v1/skills/motif-labs-motif

## Description

Working memory for AI coding agents, yours, and your team's. Claude Code, Codex and Cursor sessions become one living graph, queryable over MCP. Self-hosted.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/motif-Labs/motif)

## 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": "motif-labs-motif"
    }
  }
}
```

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