# multi-agent-memory-MCP

> multi-agent-memory-MCP — jhunter11-multi-agent-memory-mcp. Use this tool when you need to manage local memory for AI agents, enabling efficient text search and graph recall capabilities. It solves problems related to data storage and retrieval for hosted and local models, providing a reliable interface for inputting and outputting data. Ideal for use cases requiring bounded graph recall and example-based memory management, integrated with git for version control.

Canonical page: https://skillsregistry.net/skills/jhunter11-multi-agent-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jhunter11-multi-agent-memory-mcp

## Description

Local SQLite memory for AI agents through MCP. Includes text search, bounded graph recall, and examples for hosted and local models.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **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/jhunter11/multi-agent-memory-MCP)

## 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": "jhunter11-multi-agent-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jhunter11-multi-agent-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jhunter11-multi-agent-memory-mcp/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