# memory-bank

> memory-bank — josiahcrackle9631-memory-bank. Use this tool when you need to extend the context window of large language models to support longer sessions and reduce token usage. It solves problems of limited context and excessive token consumption, enabling more efficient and effective language processing. The memory-bank tool takes in LLM sessions and outputs optimized context windows, ideal for use cases requiring prolonged interactions or complex conversations.

Canonical page: https://skillsregistry.net/skills/josiahcrackle9631-memory-bank  
JSON: https://api.skillsregistry.net/v1/skills/josiahcrackle9631-memory-bank

## Description

Extend LLM context windows to support longer sessions and minimize token usage with this memory management architecture.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/josiahcrackle9631/memory-bank)

## 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": "josiahcrackle9631-memory-bank"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/josiahcrackle9631-memory-bank` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/josiahcrackle9631-memory-bank/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