# memory-mcp

> Use this tool when you need to enhance AI assistants' memory capabilities, integrating multiple memory types and pattern detection for improved knowledge retention and recall. It solves problems related to information storage, retrieval, and analysis, accepting inputs such as semantic, episodic, time-series, and spatial data. Outputs include detected patterns and relationships, enabling informed decision-making in various contexts, from conversational dialogue to complex data analysis.

Canonical page: https://skillsregistry.net/skills/brianchilders-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/brianchilders-memory-mcp

## Description

Multi-tier memory system for AI assistants, integrating semantic, episodic, time-series, and spatial memory with pattern detection and MCP tools.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a13lb16gj7)
- **Repository:** <https://github.com/brianchilders/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": "brianchilders-memory-mcp"
    }
  }
}
```

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