# MemDrive

> MemDrive — shaantanu314-memdrive. Use this tool when you need to persist and share knowledge across AI coding sessions, enabling agents to learn from previous interactions and collaborate on complex tasks. MemDrive solves the problem of ephemeral agent memory, allowing for durable recall of key information and insights. It accepts importable memory packs as input and outputs shared, recallable memories for enhanced agent performance.

Canonical page: https://skillsregistry.net/skills/shaantanu314-memdrive  
JSON: https://api.skillsregistry.net/v1/skills/shaantanu314-memdrive

## Description

Shareable memory for AI coding agents. Enables agents to remember and recall durable memories across sessions and share them as importable packs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h7w3zipmho)
- **Repository:** <https://github.com/shaantanu314/memdrive>

## 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": "shaantanu314-memdrive"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shaantanu314-memdrive` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shaantanu314-memdrive/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