# emms-mcp

> Use this tool when you need to create a sophisticated cognitive memory system for AI agents, enabling them to store, retrieve, and manage knowledge across multiple tiers of memory, and solve complex problems related to information retention and recall. It accepts inputs from various MCP clients, including Claude Code and Cursor, and outputs a robust and persistent memory framework. Ideal for use cases requiring advanced memory management, such as chatbots, virtual assistants, and knowledge-based systems.

Canonical page: https://skillsregistry.net/skills/supermaxlol-emms-mcp  
JSON: https://api.skillsregistry.net/v1/skills/supermaxlol-emms-mcp

## Description

Cognitive memory system for AI agents with 129 MCP tools. Persistent 6-tier hierarchical memory (working→short-term→long-term→semantic), Ebbinghaus forgetting curves, dream consolidation, hybrid retrieval (BM25+RRF), goal tracking, emotional recall, knowledge graphs, and a 26-job consciousness daemon. Works with Claude Code, Cursor, and any MCP client.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hx8e0u4doj)
- **Repository:** <https://github.com/supermaxlol/emms-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": "supermaxlol-emms-mcp"
    }
  }
}
```

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

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