# HyperMarrow (npm · @qianshitech/hypermarrow-mcp)

Local-first long-term memory for AI coding agents. Stored on your own machine.

- Trust score: 66/100 (medium)
- Change this week: +5
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-26

## Components

- npm · `@qianshitech/hypermarrow-mcp`: 66/100 (this document), [markdown](https://verifymcp.io/servers/cool-qianshi-hypermarrow/qianshitech-hypermarrow-mcp.md), [page](https://verifymcp.io/servers/cool-qianshi-hypermarrow/qianshitech-hypermarrow-mcp)

## Channel facts

- Registry: `npm`
- Package: `@qianshitech/hypermarrow-mcp`
- Version: `0.1.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-26.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - No production dependencies, so there is no dependency health to assess.
- **Provenance & Transparency**: 6/100
  - Repository check failed: no source repository is declared.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: the license (UNLICENSED) isn't a recognized OSI-approved license.
  - Actively maintained (last published 11 days ago).
  - Security-disclosure policy not yet verified: we couldn't inspect the source repository.
- **Schema Quality & AI Usability**: 69/100
  - 67% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 473 tokens (~39/item across 12 items; 7 tools + 5 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 37/100
  - Stability observed for 11 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 90/100
  - 86% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the HyperMarrow MCP server?

HyperMarrow runs locally as an npm package, launched with npx -y @qianshitech/hypermarrow-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add cool-qianshi-hypermarrow -- npx -y @qianshitech/hypermarrow-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "cool-qianshi-hypermarrow": {
      "command": "npx",
      "args": [
        "-y",
        "@qianshitech/hypermarrow-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "cool-qianshi-hypermarrow": {
      "command": "npx",
      "args": [
        "-y",
        "@qianshitech/hypermarrow-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add cool-qianshi-hypermarrow -- npx -y @qianshitech/hypermarrow-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cool-qianshi-hypermarrow": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@qianshitech/hypermarrow-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add cool-qianshi-hypermarrow --command npx --arg -y --arg @qianshitech/hypermarrow-mcp
```

### Hermes

```yaml
mcp_servers:
  cool-qianshi-hypermarrow:
    command: "npx"
    args: ["-y", "@qianshitech/hypermarrow-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "cool-qianshi-hypermarrow": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@qianshitech/hypermarrow-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add cool-qianshi-hypermarrow -t stdio -c npx -a -y @qianshitech/hypermarrow-mcp
```

### Other

```json
{
  "mcpServers": {
    "cool-qianshi-hypermarrow": {
      "command": "npx",
      "args": [
        "-y",
        "@qianshitech/hypermarrow-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-26 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-25 (score 65, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-23 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-22 (score 64, +3)

- [functional improvement] Stability: unverified → 0.23

### 2026-09-15 (score 61)

First indexed and scored.

## MCP tools (7)

### `memory_search` (~67 tokens)

搜索 HyperMarrow 记忆库（情景记忆+知识图谱）。决策前/不确定时用此工具查历史经验。

Input parameters:

- `limit` (integer): 结果数（默认5，最大20）
- `query` (string, required): 搜索关键词

### `memory_store` (~59 tokens)

存档消息到 HyperMarrow 情景记忆。重要对话/工作完成后调用。写入决策引擎会自动识别关键信息。

Input parameters:

- `content` (string, required): 要存档的消息内容

### `memory_check` (~53 tokens)

决策前查询历史经验和规则建议。做重要决策前调用。

Input parameters:

- `action` (string, required): 计划执行的动作
- `context` (object): 上下文（task/phase等）

### `memory_record` (~77 tokens)

记录决策结果，驱动经验学习。决策执行后调用（outcome: success/failure/partial）。

Input parameters:

- `action` (string, required): 执行的动作
- `context` (object): 上下文
- `note` (string): 备注/教训
- `outcome` (string, required): 结果

### `profile_set` (~56 tokens)

设置核心记忆（永不遗忘的关键信息，如项目路径、常用工具、用户偏好）。

Input parameters:

- `key` (string, required): 记忆名称
- `value` (string, required): 记忆内容

### `profile_list` (~16 tokens)

列出全部核心记忆。

### `memory_health` (~25 tokens)

记忆使用率健康自检，返回使用状态和警告建议。

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/cool-qianshi-hypermarrow/qianshitech-hypermarrow-mcp#diagnostics

## Score history

- 2026-09-26: 66
- 2026-09-25: 65
- 2026-09-24: 65
- 2026-09-23: 65
- 2026-09-22: 64
- 2026-09-21: 61
- 2026-09-20: 61
- 2026-09-19: 61
- 2026-09-18: 61
- 2026-09-17: 61
- 2026-09-16: 61
- 2026-09-15: 61

## Common questions

### What is the HyperMarrow MCP server?

HyperMarrow is an MCP server listed in the public MCP registry as cool.qianshi/hypermarrow. Local-first long-term memory for AI coding agents. Stored on your own machine. This page covers its npm package (@qianshitech/hypermarrow-mcp).

### Is the HyperMarrow MCP server safe to use?

HyperMarrow scores 66 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 26 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the HyperMarrow MCP server expose?

HyperMarrow exposes 7 tools: memory_search, memory_store, memory_check, memory_record, profile_set, and 2 more. Their descriptions and schemas cost roughly 353 tokens of context every time the server is loaded.

### Is the HyperMarrow MCP server still maintained?

HyperMarrow is still listed as active in the MCP registry. We last reached this channel on 26 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the HyperMarrow MCP server under?

HyperMarrow declares the UNLICENSED licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.

## Links

- npm package: https://www.npmjs.com/package/@qianshitech/hypermarrow-mcp
- Socket report: https://socket.dev/npm/package/@qianshitech/hypermarrow-mcp
- Changelog RSS feed: https://verifymcp.io/servers/cool-qianshi-hypermarrow/qianshitech-hypermarrow-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/cool-qianshi-hypermarrow/qianshitech-hypermarrow-mcp.json
- HTML version of this page: https://verifymcp.io/servers/cool-qianshi-hypermarrow/qianshitech-hypermarrow-mcp