# MahoRAGa

> Use this tool when you need to enhance AI agents' knowledge retention and retrieval capabilities, solving problems of information loss and duplication of effort across projects and sessions. MahoRAGa provides a comprehensive interface for storing and searching errors, solutions, concepts, and session histories, with outputs including relevant knowledge and insights. It is ideal for use in complex, long-term projects requiring robust knowledge management and analytics.

Canonical page: https://skillsregistry.net/skills/aadi775-mahoraga  
JSON: https://api.skillsregistry.net/v1/skills/aadi775-mahoraga

## Description

Provides long-term semantic recall for AI agents through an embedded Kuzu graph database. Stores errors, solutions, concepts, and session histories with hybrid search combining semantic similarity, recency, context richness, and keyword matching. Supports 25+ tools across projects, sessions, error tracking, knowledge management, artifacts, and analytics. Runs fully local with no cloud dependencies.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aadi775-mahoraga)
- **Repository:** <https://github.com/aadi775/mahoraga>

## 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": "aadi775-mahoraga"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aadi775-mahoraga` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aadi775-mahoraga/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
