# spatial-memory-mcp

> Use this tool when you need to enhance the memory capabilities of large language models (LLMs) with persistent semantic memory, automatic knowledge capture, and spatial navigation. It solves problems related to knowledge retention, information retrieval, and graph exploration, particularly in applications where temporal context and spatial relationships are crucial. The tool accepts knowledge graphs and LLM inputs, and outputs navigable semantic memories with time-based decay.

Canonical page: https://skillsregistry.net/skills/arman-tech-spatial-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arman-tech-spatial-memory-mcp

## Description

A persistent semantic memory system for LLMs with time-based decay, automatic memory capture, and spatial navigation tools for exploring knowledge graphs.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p2lrhopzn8)
- **Repository:** <https://github.com/arman-tech/spatial-memory-mcp>

## 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": "arman-tech-spatial-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arman-tech-spatial-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arman-tech-spatial-memory-mcp/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