# dragon-brain

> Use this tool when you need to enhance a large language model (LLM) with long-term memory capabilities, solving problems of knowledge retention and recall across sessions. It takes in entities, observations, and relationships as inputs and outputs semantic recall results, utilizing a knowledge graph and vector search hybrid interface. Ideal for use cases requiring persistent memory and automatic clustering in LLMs.

Canonical page: https://skillsregistry.net/skills/iikarus-dragon-brain  
JSON: https://api.skillsregistry.net/v1/skills/iikarus-dragon-brain

## Description

Open-source MCP server that gives any LLM long-term memory using a knowledge graph and vector search hybrid. It stores entities, observations, and relationships, enabling semantic recall across sessions with automatic clustering and fail-loud infrastructure.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lcuqu94kyx)
- **Repository:** <https://github.com/iikarus/Dragon-Brain>

## 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": "iikarus-dragon-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iikarus-dragon-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iikarus-dragon-brain/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