# Octopoda-OS

> Octopoda-OS — ryjoxtechnologies-octopoda-os. Use this tool when you need to manage and optimize AI agent memory and performance. Octopoda-OS solves problems related to memory persistence, search, and recovery, and provides inputs such as agent messaging and outputs like real-time observability. It is ideal for use cases requiring efficient and reliable AI agent operation, with interfaces including git integration for seamless version control.

Canonical page: https://skillsregistry.net/skills/ryjoxtechnologies-octopoda-os  
JSON: https://api.skillsregistry.net/v1/skills/ryjoxtechnologies-octopoda-os

## Description

The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/RyjoxTechnologies/Octopoda-OS)

## 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": "ryjoxtechnologies-octopoda-os"
    }
  }
}
```

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