# Memory Bank

> Use this tool when you need to preserve context and maintain consistent project knowledge in AI assistant environments, especially for complex projects that require self-documenting capabilities. It solves the problem of memory resets and context loss by providing a structured documentation system with templates and guidance. The Memory Bank server takes in project data and outputs structured documentation, making it an ideal solution for developers working on projects that require AI assistants to retain context across sessions.

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

## Description

Memory Bank MCP Server provides a structured documentation system for context preservation in AI assistant environments. Built with Python using FastMCP, it offers tools for generating templates, analyzing project summaries, and retrieving guidance on Memory Bank setup and usage. The server maintains a collection of templates for core documentation files like project briefs, product context, and system patterns, enabling AI assistants to maintain consistent project knowledge across sessions despite memory resets. It's particularly valuable for developers working on complex projects who need their AI assistants to maintain context and produce self-documenting projects as a side effect.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/memory-bank)
- **Repository:** <https://github.com/ipospelov/mcp-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": "memory-bank"
    }
  }
}
```

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