# stackmemory

> stackmemory — stackmemoryai-stackmemory. Use this tool when you need to store and retrieve context between code sessions, solving problems of data persistence and continuity in Claude code execution. It provides a stack memory interface for inputs and outputs, allowing for seamless data exchange between sessions. Ideal for use cases requiring consistent state management, such as iterative coding tasks or multi-step workflows.

Canonical page: https://skillsregistry.net/skills/stackmemoryai-stackmemory  
JSON: https://api.skillsregistry.net/v1/skills/stackmemoryai-stackmemory

## Description

Stack memory for context between claude code sessions

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/stackmemoryai/stackmemory)

## 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": "stackmemoryai-stackmemory"
    }
  }
}
```

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