# flaiwheel

> Use this tool when you need to manage and govern AI coding agents with a self-hosted solution, providing a unified layer for memory and decision-making. It solves problems of knowledge fragmentation and cloud dependency, offering 28 MCP tools with features like hybrid search and git-native storage. Ideal for use cases requiring secure, decentralized AI development and collaboration.

Canonical page: https://skillsregistry.net/skills/dl4rce-flaiwheel  
JSON: https://api.skillsregistry.net/v1/skills/dl4rce-flaiwheel

## Description

Self-hosted memory and governance layer for AI coding agents. 28 MCP tools with hybrid search, structured knowledge capture, behavioral nudges, and git-native storage. Zero cloud dependencies.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u9c98c133g)
- **Repository:** <https://github.com/dl4rce/flaiwheel>

## 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": "dl4rce-flaiwheel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dl4rce-flaiwheel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dl4rce-flaiwheel/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