# OMEGA Memory

> Use this tool when you need to retain and recall knowledge across coding sessions, solving problems like decision repetition and error reoccurrence. OMEGA Memory provides persistent storage for decisions, lessons, and task checkpoints, with outputs via semantic search or graph traversal. Ideal for use with coding agents and IDEs like VS Code, Claude Code, and Cursor, to enhance productivity and reduce errors.

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

## Description

Persistent memory for AI coding agents. Store decisions, lessons, error patterns, and task checkpoints, then retrieve them via semantic search or graph traversal. Features session briefings, memory consolidation, time-based reminders, encrypted profiles, and knowledge compaction. Works with Claude Code, Cursor, Windsurf, VS Code, and any MCP-compatible client. #1 on LongMemEval benchmark (95.4%). Install: pip install omega-memory && omega setup

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/omega-memory/core)

## 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-core"
    }
  }
}
```

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

---
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