# loci-db

> loci-db — zd87pl-loci-db. Use this tool when you need to enable spatial memory for Physical AI applications, such as robots and drones, to remember and recall 4D vector data of their environment. It solves problems of object recognition, novelty detection, and world modeling by storing and analyzing data on what was seen, where, and when. It takes in 4D vector inputs and outputs novelty detection results, ideal for use cases requiring real-time environment awareness and adaptation.

Canonical page: https://skillsregistry.net/skills/zd87pl-loci-db  
JSON: https://api.skillsregistry.net/v1/skills/zd87pl-loci-db

## Description

Spatial memory for Physical AI. Robots, drones & world models remember what they saw, where and when, and notice what's new. 4D (x,y,z,t) vector memory · novelty detection · MCP server.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/zd87pl/loci-db)

## 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": "zd87pl-loci-db"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zd87pl-loci-db` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zd87pl-loci-db/pull`

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