# Memory Service (Rust)

> Use this tool when you need to efficiently store, retrieve, and search memories with semantic capabilities, and require a lightweight solution with low startup time and memory usage. It provides a drop-in replacement for existing memory services, with a compatible schema and verified behavioral equivalence through parity tests. Ideal for applications needing fast and scalable memory management, such as AI and machine learning models.

Canonical page: https://skillsregistry.net/skills/doobidoo-memory-service-rs  
JSON: https://api.skillsregistry.net/v1/skills/doobidoo-memory-service-rs

## Description

Provides 7 MCP tools for storing, retrieving, and semantically searching memories using SQLite and ONNX-based embeddings, with ~50ms startup time and ~50MB RAM usage versus the Python original. Maintains schema compatibility with mcp-memory-service for drop-in replacement. Includes parity tests to verify behavioral equivalence.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/doobidoo-memory-service-rs)
- **Repository:** <https://github.com/doobidoo/mcp-memory-service-rs>

## 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": "doobidoo-memory-service-rs"
    }
  }
}
```

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