# engram

> Use this tool when you need to retain context and knowledge from previous interactions, enabling persistent and local-first AI memory across sessions. It solves problems of information loss and repetition by storing, searching, and retrieving context via MCP tools. Ideal for applications requiring continuous learning and recall, such as chatbots, virtual assistants, and conversational AI systems.

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

## Description

Provides persistent, local-first AI memory across sessions via MCP tools for storing, searching, and retrieving context from past interactions.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hn3y88sa6v)
- **Repository:** <https://github.com/TushaeBXN/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": "tushaebxn-engram"
    }
  }
}
```

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