# Memwyre

> Memwyre — memwyreai-memwyre. Use this tool when you need to enhance the memory and knowledge retrieval capabilities of Large Language Models (LLMs) and AI agents, enabling them to store and retrieve information persistently. Memwyre solves the problem of transient knowledge in AI systems, providing a universal memory infrastructure that integrates with custom applications and git version control. It accepts input from various sources and outputs retrieved knowledge, making it ideal for use cases requiring persistent information storage and retrieval.

Canonical page: https://skillsregistry.net/skills/memwyreai-memwyre  
JSON: https://api.skillsregistry.net/v1/skills/memwyreai-memwyre

## Description

Memwyre is an open-source, universal memory infrastructure and persistent knowledge retrieval layer for Large Language Models (LLMs), AI agents, and custom applications.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/memwyreai/Memwyre)

## 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": "memwyreai-memwyre"
    }
  }
}
```

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