# engram

> engram — dx111ge-engram. Use this tool when you need to integrate knowledge graph management, semantic search, and reasoning capabilities into your applications. It solves problems related to complex data querying, entity disambiguation, and decision-making, and accepts inputs such as natural language queries and knowledge graph data. Outputs include relevant search results, inferred relationships, and debate outcomes, making it ideal for use cases that require advanced AI-driven insights and decision support.

Canonical page: https://skillsregistry.net/skills/dx111ge-engram  
JSON: https://api.skillsregistry.net/v1/skills/dx111ge-engram

## Description

AI Intelligence Platform -- knowledge graph + semantic search + reasoning + multi-agent debate in a single binary

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/dx111ge/engram)

## 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": "dx111ge-engram"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dx111ge-engram` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dx111ge-engram/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