# Xylem

> Xylem — jarmstrong158-xylem. Use this tool when you need to manage the memory, coordination, and knowledge lifecycle of multi-agent AI systems, solving problems of data consistency and synchronization across agents. Xylem provides a local-first approach with remote transports, allowing for seamless integration with version control systems like git. It is ideal for developing and deploying complex AI applications that require efficient knowledge sharing and coordination among multiple agents.

Canonical page: https://skillsregistry.net/skills/jarmstrong158-xylem  
JSON: https://api.skillsregistry.net/v1/skills/jarmstrong158-xylem

## Description

Memory, coordination, and knowledge lifecycle for multi-agent AI development. Local-first MCP servers with remote transports.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/jarmstrong158/Xylem)

## 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": "jarmstrong158-xylem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jarmstrong158-xylem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jarmstrong158-xylem/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