# Loom

> Loom — kaushik-hub306-loom. Use this tool when you need to provide AI agents with shared memory and persistent team knowledge, solving problems of data inconsistency and knowledge fragmentation across different agents and interfaces. Loom offers a centralized server for storing and retrieving team knowledge, accepting inputs from various sources and outputting unified data for Claude Code, Cursor, and Claude Desktop. It is particularly useful in collaborative environments where multiple AI agents require access to the same knowledge base, utilizing git for version control and data management.

Canonical page: https://skillsregistry.net/skills/kaushik-hub306-loom  
JSON: https://api.skillsregistry.net/v1/skills/kaushik-hub306-loom

## Description

Shared memory for AI agents — an MCP server that gives Claude Code, Cursor, and Claude Desktop persistent team knowledge.

## Trust

- **Trust score (0–1):** 0.61
- **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/Kaushik-hub306/Loom)

## 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": "kaushik-hub306-loom"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kaushik-hub306-loom` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kaushik-hub306-loom/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