OMEGA Memory

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.

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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

*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

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

CLI

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