# rmbr

> rmbr — srock44-rmbr. Use this tool when you need to enable AI agents to store and retrieve information locally, with secure access control for multi-agent collaboration. It solves problems of data management and sharing in distributed AI systems, providing a unified memory interface for agents to access and update information. With inputs of data and queries, and outputs of retrieved information, rmbr is ideal for use cases requiring secure, decentralized data management in AI applications.

Canonical page: https://skillsregistry.net/skills/srock44-rmbr  
JSON: https://api.skillsregistry.net/v1/skills/srock44-rmbr

## Description

Embedded memory and retrieval engine for AI agents, providing local-first memory with MCP support for multi-agent access control.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zgizr8223i)
- **Repository:** <https://github.com/SRock44/rmbr>

## 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": "srock44-rmbr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/srock44-rmbr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/srock44-rmbr/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