# Oceanir Memory

> Use this tool when you need to retain knowledge and context across multiple interactions, enabling AI coding agents to learn from past experiences and make informed decisions. It solves problems of knowledge loss and repetition by storing entities, relations, and observations in a graph-based system. This tool is ideal for managing structured knowledge, such as coding preferences and technical solutions, and querying it to inform future coding decisions.

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

## Description

Provides persistent long-term memory for AI coding agents by storing entities, relations, and observations across different sessions. It enables users to manage and query structured knowledge like coding preferences, project patterns, and technical solutions via a graph-based storage system.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/am6bplrrtf)
- **Repository:** <https://github.com/Oceanir/Oceanir-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": "oceanir-oceanir-memory"
    }
  }
}
```

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