# mnemos

> Use this tool when you need to provide AI agents with a unified interface for persistent memory, semantic search, and versioned storage, enabling efficient data management and retrieval. It solves problems related to data consistency, search, and routing for large language models (LLMs) by offering a scalable and flexible backend solution. With support for multiple backend options and webhook fanout, mnemos streamlines AI agent development and deployment via a FastAPI runtime.

Canonical page: https://skillsregistry.net/skills/ncz-os-mnemos  
JSON: https://api.skillsregistry.net/v1/skills/ncz-os-mnemos

## Description

MCP server providing persistent memory, semantic search, versioned storage, webhook fanout, and unified LLM routing for AI agents via FastAPI runtime with multiple backend options.

## 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:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lqmqzqj4mr)
- **Repository:** <https://github.com/ncz-os/mnemos>

## 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": "ncz-os-mnemos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ncz-os-mnemos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ncz-os-mnemos/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