# OMEGA Memory

> Use this tool when you need to enhance AI agents with persistent memory, coordination, and learning capabilities, enabling them to store and retrieve information locally and make informed decisions. It solves problems related to knowledge retention, collaboration, and adaptive behavior, providing a comprehensive interface with 25 MCP tools. Ideal for use cases requiring autonomous agents to learn from experience and interact with their environment effectively.

Canonical page: https://skillsregistry.net/skills/io-github-omega-memory-omega-memory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-omega-memory-omega-memory

## Description

Persistent memory for AI coding agents. Semantic search, auto-capture, intelligent forgetting.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.10.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.omega-memory%2Fomega-memory)
- **Repository:** <https://github.com/omega-memory/omega-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": "io-github-omega-memory-omega-memory"
    }
  }
}
```

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