# knowit

> knowit — ismaelkedir-knowit. Use this tool when you need to access a shared, structured memory for AI coding agents, enabling seamless collaboration and knowledge sharing across various MCP clients, including Claude Code, Codex, and Cursor. It solves problems of fragmented knowledge and improves coding efficiency by providing a unified memory layer. The knowit tool accepts git inputs and provides a CLI interface for easy integration and access to its shared memory capabilities.

Canonical page: https://skillsregistry.net/skills/ismaelkedir-knowit  
JSON: https://api.skillsregistry.net/v1/skills/ismaelkedir-knowit

## Description

Shared, structured memory for AI coding agents — MCP server + CLI. One memory layer for Claude Code, Codex, Cursor & every MCP client.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ismaelkedir/knowit)

## 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": "ismaelkedir-knowit"
    }
  }
}
```

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