# io.github.AINative-Studio/ainative-memory-mcp (npm · ainative-memory-mcp)

Cloud-persistent, semantic-search memory MCP — drop-in for server-memory, backed by ZeroDB.

- Trust score: 64/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `ainative-memory-mcp`: 64/100 (this document), [markdown](https://verifymcp.io/servers/ainative-studio-ainative-memory-mcp/ainative-memory-mcp.md), [page](https://verifymcp.io/servers/ainative-studio-ainative-memory-mcp/ainative-memory-mcp)

## Channel facts

- Registry: `npm`
- Package: `ainative-memory-mcp`
- Version: `1.0.1`
- 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 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (108 of 109), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (108 of 109), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 2 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 431 tokens (~43/item across 10 items; 10 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### Claude

```bash
claude mcp add ainative-studio-ainative-memory-mcp -- npx -y ainative-memory-mcp
```

### Codex

```bash
codex mcp add ainative-studio-ainative-memory-mcp -- npx -y ainative-memory-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ainative-studio-ainative-memory-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "ainative-memory-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ainative-studio-ainative-memory-mcp --command npx --arg -y --arg ainative-memory-mcp
```

### Hermes

```yaml
mcp_servers:
  ainative-studio-ainative-memory-mcp:
    command: "npx"
    args: ["-y", "ainative-memory-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "ainative-studio-ainative-memory-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "ainative-memory-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.

### 2026-08-02 (score 64, +43)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Schema quality: unverified → good
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional] Licence: MIT

### 2026-08-01 (score 21)

First indexed and scored.

## MCP tools (10)

### `create_entities` (~57 tokens)

Create multiple new entities in the knowledge graph. Entities are the fundamental nodes with a name, type, and list of observations. Stored in ZeroDB cloud — persists across sessions and devices.

Input parameters:

- `entities` (array, required): Array of entities to create

### `create_relations` (~39 tokens)

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice.

Input parameters:

- `relations` (array, required): Array of relations to create

### `add_observations` (~33 tokens)

Add new observations to existing entities in the knowledge graph.

Input parameters:

- `observations` (array, required): Array of observations to add

### `delete_entities` (~35 tokens)

Delete multiple entities and their associated relations from the knowledge graph.

Input parameters:

- `entityNames` (array, required): An array of entity names to delete

### `delete_observations` (~32 tokens)

Delete specific observations from entities in the knowledge graph.

Input parameters:

- `deletions` (array, required): Array of deletions

### `delete_relations` (~29 tokens)

Delete multiple relations from the knowledge graph.

Input parameters:

- `relations` (array, required): Array of relations to delete

### `read_graph` (~19 tokens)

Read the entire knowledge graph from ZeroDB cloud storage.

### `search_nodes` (~59 tokens)

Search for nodes in the knowledge graph based on a text query. Matches against entity names, types, and observation content (case-insensitive substring match).

Input parameters:

- `query` (string, required): The search query to match against entity names, types, and observation content

### `open_nodes` (~33 tokens)

Open specific nodes in the knowledge graph by their names.

Input parameters:

- `names` (array, required): An array of entity names to retrieve

### `search_nodes_semantic` (~95 tokens)

Search for nodes in the knowledge graph using semantic vector similarity. Unlike search_nodes which does exact text matching, this finds entities by meaning — e.g., searching "machine learning frameworks" would find entities about "PyTorch" or "TensorFlow" even without those exact words.

Input parameters:

- `limit` (number): Maximum number of results (default: 10)
- `query` (string, required): Natural language query to search by meaning

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/ainative-studio-ainative-memory-mcp/ainative-memory-mcp#diagnostics

## Score history

- 2026-08-03: 64
- 2026-08-02: 64
- 2026-08-01: 21

## Links

- npm package: https://www.npmjs.com/package/ainative-memory-mcp
- Socket report: https://socket.dev/npm/package/ainative-memory-mcp
- Repository: https://github.com/AINative-Studio/ainative-memory-mcp
- Changelog RSS feed: https://verifymcp.io/servers/ainative-studio-ainative-memory-mcp/ainative-memory-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/ainative-studio-ainative-memory-mcp/ainative-memory-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/ainative-studio-ainative-memory-mcp/ainative-memory-mcp