# nanomem

> nanomem — ombansod2-nanomem. Use this tool when you need to efficiently store and manage changing facts with exact vector search capabilities and full revision history, without relying on a server. Nanomem provides a self-contained, single-file solution with numpy-only dependencies, ideal for applications requiring version control and tracking of data changes. It is particularly useful in contexts where data integrity and auditing are crucial, such as scientific research or data-driven projects.

Canonical page: https://skillsregistry.net/skills/ombansod2-nanomem  
JSON: https://api.skillsregistry.net/v1/skills/ombansod2-nanomem

## Description

Embedded single-file store for facts that change: exact vector search, full revision history, no server. numpy-only.

## Trust

- **Trust score (0–1):** 0.19
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/OmBansod2/nanomem)

## 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": "ombansod2-nanomem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ombansod2-nanomem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ombansod2-nanomem/pull`

---
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