# amafos

> amafos — amafos-ai-amafos. Use this tool when you need to optimize AI memory and fact ordering, solving problems related to efficient knowledge retrieval and storage. It provides a remote MCP server with adaptive memory capabilities, accepting git inputs and generating organized fact outputs. Ideal for use cases requiring advanced memory management and fact ordering in AI systems.

Canonical page: https://skillsregistry.net/skills/amafos-ai-amafos  
JSON: https://api.skillsregistry.net/v1/skills/amafos-ai-amafos

## Description

The memory layer for AI · Adaptive Memory And Fact Ordering System · Remote MCP server

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/amafos-ai/amafos)

## 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": "amafos-ai-amafos"
    }
  }
}
```

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