# Zengram

> Zengram — zensystemai-zengram. Use this tool when you need to connect multiple agents across different systems and machines, enabling seamless communication and information sharing. Zengram solves problems of agent isolation and limited accessibility, providing a unified memory framework for efficient collaboration. It accepts inputs from various agents and systems, outputting a unified interface for streamlined interaction and version control via git.

Canonical page: https://skillsregistry.net/skills/zensystemai-zengram  
JSON: https://api.skillsregistry.net/v1/skills/zensystemai-zengram

## Description

A Multi Agent Memory MCP That Connect Agents Across Systems and Machines

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/ZenSystemAI/Zengram)

## 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": "zensystemai-zengram"
    }
  }
}
```

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