# gomaa

> gomaa — m4f-s-gomaa. Use this tool when you need to manage and integrate persistent memory for AI agents, solving problems of knowledge retention and retrieval. It provides a comprehensive system with features like hybrid search, knowledge graphs, and security gates, accepting inputs from Obsidian vaults and git, and outputting organized knowledge structures. Use Gomaa in contexts where autonomous agents require robust and secure memory management to enhance their decision-making capabilities.

Canonical page: https://skillsregistry.net/skills/m4f-s-gomaa  
JSON: https://api.skillsregistry.net/v1/skills/m4f-s-gomaa

## Description

Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge graphs, security gates, and MCP server.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/M4F-S/gomaa)

## 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": "m4f-s-gomaa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m4f-s-gomaa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m4f-s-gomaa/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