# Engram

> Use this tool when you need to retain and retrieve knowledge from various coding agents, as Engram captures and recalls facts, storing them locally as plain Markdown. It solves the problem of knowledge loss and improves collaboration between agents by providing a standardized memory layer. Engram is ideal for use cases where agents require shared context and knowledge retention, accepting inputs from any coding agent and outputting recalled facts via the Model Context Protocol.

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

## Description

An agent-agnostic memory layer that captures, reviews, and recalls facts from any coding agent, storing them locally as plain Markdown and speaking the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x8g247jcrj)
- **Repository:** <https://github.com/xantorres/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": "xantorres-engram"
    }
  }
}
```

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