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PopNx MCPMCP servers for people who use AI · explained in plain words

Core

by omega-memoryversion 0.9.3i★ –iRuns on your computer
Registry nameio.github.omega-memory/core

Install

Overview

Description from the maker (original English)

Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "core": {
      "command": "uvx",
      "args": [
        "omega-memory"
      ]
    }
  }
}

Run this in your terminal

claude mcp add core -- uvx omega-memory

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "core": {
      "command": "uvx",
      "args": [
        "omega-memory"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "core": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "omega-memory"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account omega-memory, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7234 servers in this category
  • Published to the registry more recently than 2% of the other 7234 servers in this category
  • Basic checks equal to or better than 100% of the other 7234 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Core safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.9.3) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

OMEGA

Cross-model memory for AI agents. Local-first. Works with Claude, GPT, Gemini, Cursor, Claw Code, and any MCP client. Your agent's brain shouldn't live on someone else's server, or be locked to one provider.


The Problem

AI coding agents are stateless. Every new session starts from zero. The "solutions" either lock you into one model provider or send your codebase context to their cloud.

  • Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already established.
  • Repeated mistakes. Without learning from past sessions, agents make the same errors over and over. They don't remember what worked, what failed, or why a particular approach was chosen.
  • Cloud memory = someone else's database. Services like Mem0 require API keys and send your data to their servers. When they change pricing, get acquired, or go down, your agent's accumulated intelligence disappears.
  • Vendor lock-in. Anthropic's Memory Tool only works with Claude. OpenAI's memory only works with GPT. Switch models, lose your memory.

OMEGA solves this. Memory, coordination, and learning that runs entirely on your machine. Works with every major LLM and coding agent. No cloud. No API keys. No vendor lock-in.

Quick Install

OMEGA needs Python 3.11 or newer. Check with python3 --version: macOS ships Python 3.9, which is too old. If pip answers No matching distribution found for omega-memory, that is the reason; install a newer Python first (for example brew install python@3.12, or from python.org).

Install OMEGA into its own environment. Homebrew's Python refuses a plain pip install (PEP 668), and an isolated install keeps OMEGA's dependencies away from your projects. Pick one:

# pipx

pipx install "omega-memory[server]"

or uv

uv tool install "omega-memory[server]"

or a virtual environment

python3.12 -m venv ~/.venvs/omega # any Python 3.11 or newer ~/.venvs/omega/bin/pip install "omega-memory[server]" export PATH="$HOME/.venvs/omega/bin:$PATH"

Keep the quotes around "omega-memory[server]": zsh, the default macOS shell, treats bare square brackets as a pattern and fails. The [server] extra installs the MCP server, which also runs the hook daemon; without it Claude Code gets no OMEGA tools and no hooks.

Then:

omega setup     # downloads the embedding model, registers the MCP server, installs hooks

omega doctor # checks every step, and names the fix for anything that failed

omega setup --dry-run shows what setup would change without writing or downloading anything.

Claude Desktop
omega setup --client claude-desktop

This registers OMEGA as an MCP server in Claude Desktop's config. Restart Claude Desktop to activate.

Cursor, Windsurf, Cline, Codex, Antigravity
omega setup --client cursor      # or: windsurf, cline, codex, antigravity

Codex and Antigravity get their config file written; for the others setup prints the JSON block to paste. For any other MCP client, omega setup --client venv prints the command and arguments to use. Hooks (automatic capture and surfacing) are available with Claude Code only.

Library-only install (no MCP server)

If you only need OMEGA as a Python library for scripts, CI/CD, or automation, install it into your project's environment:

pip install omega-memory    # Core only, no MCP server
from omega import store, query, remember

store("Always use TypeScript strict mode", "user_preference") results = query("TypeScript preferences")

This gives you the full storage and retrieval API without running an MCP server. Hooks need the MCP server (the hook daemon runs inside it), so a library-only install has no automatic capture or surfacing.

From Source
git clone https://github.com/omega-memory/omega-memory.git

cd omega-memory python3.12 -m venv .venv && source .venv/bin/activate pip install -e ".[server,dev]" omega setup

omega setup will:

  1. Create ~/.omega/ (or $OMEGA_HOME if you set it)
  2. Download the ONNX embedding model, bge-small-en-v1.5 (~130 MB), and a reranker (~90 MB) to ~/.cache/omega/models/
  3. Register omega-memory as an MCP server (Claude Code auto-detected, or specify --client)
  4. Install session hooks into ~/.claude/settings.json
  5. Add an OMEGA block to ~/.claude/CLAUDE.md

If a step fails, the summary marks it [FAIL] with the reason and setup exits with an error.

60-Second Quickstart

OMEGA works through natural language — no API calls, no configuration. Just talk to Claude.

1. Tell Claude to remember something:

"Remember that the auth system uses JWT tokens, not session cookies"

Claude stores this as a permanent memory with semantic embeddings.

2. Close the session. Open a new one.

3. Ask about it:

"What did I decide about authentication?"

OMEGA surfaces the relevant memory automatically:

Found 1 relevant memory:

[decision] "The auth system uses JWT tokens, not session cookies" Stored 2 days ago | accessed 3 times

That's it. Memories persist across sessions, accumulate over time, and are surfaced automatically when relevant — even if you don't explicitly ask.

Key Features

  • Memory & Learning — Stores decisions, lessons, error patterns, and preferences with semantic search. Claude recalls what matters without you re-explaining everything each session. Tools cover compaction, consolidation, timeline, graph traversal, and checkpoint/resume.
  • Multi-Agent Coordination *(omega-pro)* — File and branch locking, session management, task queues with dependencies, intent broadcasting, and agent-to-agent messaging, so agents don't overwrite each other's work.
  • Intelligent LLM Routing *(omega-pro)* — Classifies tasks and routes to the optimal model. Coding → Claude Sonnet. Quick edit → Llama 8b at 1/60th the cost. 1M token context → Gemini Flash. 5 providers, 4 priority modes, sub-2ms intent classification.
  • Knowledge Base *(omega-pro)* — Ingest PDFs, markdown, web pages, and text files into a searchable knowledge base with semantic chunking.
  • Entity Registry *(omega-pro)* — Multi-entity corporate memory with relationships, hierarchies, and entity-scoped memories/profiles/documents.
  • Secure Profile *(omega-pro)* — AES-256 encrypted personal data storage with macOS Keychain integration.

How OMEGA Compares

FeatureOMEGAAnthropic MemoryMem0Zep
Works with any LLM/agentYesClaude onlyYesYes
Your data stays on your machineYesPartial*NoNo
No cloud dependencyYesNo (needs API)NoNo
Semantic search + knowledge graphYesNo (file CRUD)$249/moYes
Multi-agent coordinationYes *(pro)*Research previewNoNo
Works with Claude Code, Cursor, Claw CodeYesClaude onlyPartialNo
Free & open sourceYes (Apache 2.0)NoFreemiumFreemium

*Anthropic's Memory Tool stores data client-side but requires Claude API calls for all memory operations. OMEGA runs entirely on-device, including embeddings (ONNX).*

Anthropic Memory is for Anthropic. OMEGA is for everyone.

Architecture

     Claude Code  ·  Cursor  ·  Claw Code  ·  Any MCP Client

│ │ │ │ └─────────┴─────┬───┴──────────────┘ │ stdio/MCP ┌───────────────▼─────────────┐ │ OMEGA MCP Server │ │ core memory tools │ └──┬──────────────────┘ │ ┌────────▼──────────────┐ │ Core Memory Engine │ │ (semantic search, │ │ embeddings, graphs) │ └─────┬─────────────────┘ │ ▼ ┌──────────────────────────────────────┐ │ omega.db (SQLite) │ │ memories | edges | embeddings │ └──────────────────────────────────────┘

Single database, modular handlers. Optional modules (coordination, router, entity, knowledge, profile) are available with OMEGA Pro and register into the same server process. No separate daemons, no microservices.

MCP Tools Reference

OMEGA runs as an MCP server inside Claude Code. By default it shows the client five tools (omega_store, omega_welcome, omega_protocol, omega_tools, omega_call) to save context: omega_tools lists everything available and omega_call runs any of it. Set OMEGA_CONDENSED=0 in the server's environment to expose every tool directly.

Core tools
ToolWhat it does
omega_storeStore a memory (decision, lesson, error, preference, ...)
omega_querySearch memories: semantic, exact phrase, timeline, or browse
omega_welcomeSession briefing: recent context, reminders, profile
omega_protocolOperating rules for the session
omega_checkpointSave task state for cross-session continuity
omega_resume_taskResume a checkpointed task
omega_memoryEdit, delete, supersede, rate, or link one memory; find similar ones
omega_profileRead or update the user profile and preferences
omega_remindSet, list, or dismiss time-based reminders
omega_maintainHealth, consolidation, compaction, backup and restore
omega_statsType breakdown, session stats, weekly digest
omega_reflectFind contradictions; trace how a topic's decisions evolved
omega_reviewReview a diff with memory of your codebase's conventions
context_packetCompact, task-aware memory packet for the current work
omega_consult_gpt, omega_consult_claudeAsk another model for a second opinion (needs your own API key for that provider)

OMEGA Pro adds coordination, routing, entity, knowledge base, and profile tools.

CLI

CommandDescription
omega setupCreate dirs, download model, register MCP, install hooks (--dry-run to preview)
omega doctorVerify installation health
omega hooks setup / omega hooks doctorInstall or check the Claude Code hooks only
omega statusMemory count, store size, model status
omega query Search memories by semantic similarity
omega store Store a memory with a specified type
omega remember Store a permanent preference
omega timelineShow memory timeline grouped by day
omega activityShow recent session activity overview
omega statsMemory type distribution and health summary
omega consolidateDeduplicate, prune, and optimize memory
omega compactCluster and summarize related memories
omega backupBack up omega.db (keeps last 5)
omega validateValidate database integrity
omega logsShow recent hook errors
omega migrate-dbMigrate legacy JSON to SQLite
omega serveRun the MCP server (omega serve --help for the HTTP daemon)
Free and Pro

Core is free and open source. On the free tier, once the store holds 2,000 memories search switches from semantic search to a plain text match, and new memories stop being stored at 5,000. omega status shows where

Only the beginning is shown; read the rest in the repo

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