# mnema

> mnema — mienetic-mnema. Use this tool when you need to enhance AI memory capabilities with a long-term storage solution, solving problems of knowledge retention and recall in AI systems. Mnema provides a hybrid search functionality, accepting various data inputs and outputting consolidated memory outputs through its CLI, REST API, and SDK interfaces. It is particularly useful in applications requiring persistent memory, such as AI training and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/mienetic-mnema  
JSON: https://api.skillsregistry.net/v1/skills/mienetic-mnema

## Description

🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Pluggable backends, hybrid search, Auto Dream consolidation, CLI + REST API + SDK.

## 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:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/mienetic/mnema)

## 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": "mienetic-mnema"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mienetic-mnema` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mienetic-mnema/pull`

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