# memory-engine-mcp

> Use this tool when you need to provide AI agents with persistent memory capabilities, enabling them to recall past experiences and restore previous emotional states for seamless continuity between interactions. It solves problems of context switching and memory loss, allowing agents to store and retrieve session snapshots, factual memories, and conversation summaries. Ideal for use in conversational AI applications where continuity and contextual understanding are crucial.

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

## Description

An MCP server that provides persistent memory for AI agents by storing session snapshots, factual memories, and conversation summaries. It enables seamless continuity between interactions by allowing agents to restore previous emotional states and recall relevant past experiences.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rjs3tmtcoi)
- **Repository:** <https://github.com/kagioneko/memory-engine-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": "kagioneko-memory-engine-mcp"
    }
  }
}
```

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