# engrama

> engrama — scops-engrama. Use this tool when you need to efficiently manage and retrieve contextual information, solving problems of information overload and prompt engineering. Engrama takes in associations and outputs targeted graph traversals, allowing for on-demand context reconstruction. Ideal for use cases where complex relationships between data points need to be quickly navigated, such as knowledge graph-based applications or git-based project management.

Canonical page: https://skillsregistry.net/skills/scops-engrama  
JSON: https://api.skillsregistry.net/v1/skills/scops-engrama

## Description

A memory graph designed for the agent that uses it, not the human who feeds it. Engrama reconstructs context from associations on demand, replacing the "stuff everything into the prompt" reflex with targeted graph traversal. SQLite default, Neo4j optional.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/scops/engrama)

## 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": "scops-engrama"
    }
  }
}
```

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