# Aethos_Memory

> Aethos_Memory — nisargpatel1906-aethos-memory. Use this tool when you need to store and retrieve information across multiple AI assistants and tools, solving problems of data fragmentation and inconsistency. Aethos_Memory provides a universal, persistent memory bank that integrates with various AI platforms, accepting text-based inputs and generating relevant outputs. It is ideal for use cases requiring knowledge retention and sharing across different tools and sessions.

Canonical page: https://skillsregistry.net/skills/nisargpatel1906-aethos-memory  
JSON: https://api.skillsregistry.net/v1/skills/nisargpatel1906-aethos-memory

## Description

Universal, cross-tool persistent memory bank for AI assistants (Claude Code, Cursor, Windsurf, OpenCode, Codex) powered by FastMCP, Gemini embeddings & Supabase pgvector.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/nisargpatel1906/Aethos_Memory)

## 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": "nisargpatel1906-aethos-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nisargpatel1906-aethos-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nisargpatel1906-aethos-memory/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