# engram-memory

> engram-memory — dannydvm-engram-memory. Use this tool when you need to store and retrieve complex knowledge graphs, enabling AI agents to learn from experience and recall relevant information. It solves problems of knowledge retention and retrieval, allowing agents to make informed decisions based on prior interactions. With simple input/output interfaces, engram-memory provides a local, fast, and free solution for persistent semantic memory in various AI applications.

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

## Description

Persistent semantic memory for AI agents — local, fast, free.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/dannydvm-engram-memory)

## 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": "dannydvm-engram-memory"
    }
  }
}
```

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