# OMEGA

> Use this tool when you need to retain and reuse knowledge across coding sessions, solving problems of information loss and duplicated effort. OMEGA provides a persistent memory system that stores decisions, lessons, and preferences, and features semantic search and intelligent memory decay to surface relevant information. It is ideal for use cases where task continuity and knowledge retention are crucial, with a local interface that accepts user input and provides indexed search results and task checkpoints as output.

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

## Description

OMEGA provides a persistent memory system that stores decisions, lessons, error patterns, and preferences across coding sessions. It features semantic search powered by local ONNX embeddings and SQLite, automatic context capture and surfacing, intelligent memory decay, contradiction detection, checkpoint and resume for task continuity, and a knowledge graph with typed relationships. Everything runs locally with zero cloud dependencies.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/omega-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": "omega-memory"
    }
  }
}
```

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