Omega Memory
Persistent memory for AI coding agents
What is Omega Memory?
Omega Memory is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to persistent memory for ai coding agents
Persistent memory for AI coding agents
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Persistent memory for AI coding agents
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx omega-memoryConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Omega Memory
Omega Memory is a local-first persistent memory MCP server for AI coding agents that stores knowledge, decisions, lessons, and context in a local SQLite database with semantic search powered by an ONNX embedding model. It provides over 25 MCP tools covering memory storage and retrieval, session management, cross-session analytics, reminders, and knowledge-graph traversal, enabling agents to remember architectural decisions, past errors, and project preferences across separate conversations. The system runs entirely on-device with no external API calls required, making it suitable for private or offline development environments.
Prerequisites
- Python 3.9 or later with pip available
- An MCP-compatible client: Claude Desktop, Claude Code, Cursor, Windsurf, or Cline
- Approximately 100 MB of disk space for the ONNX embedding model at ~/.cache/omega/models/
- No external API keys — all processing is local
Install omega-memory with server support
Install the package with the server extra to include the MCP server entrypoint.
pip install omega-memory[server]Run the setup wizard for your client
The setup wizard initialises the local database, downloads the embedding model, and writes the MCP configuration for your chosen client.
# For Claude Desktop
omega setup --client claude-desktop
# For Cursor
omega setup --client cursor
# For Claude Code
omega setup --client claude-codeVerify the setup is healthy
Run the built-in doctor command to confirm the database, embedding model, and client registration are all operational.
omega doctorRestart your MCP client
Fully quit and relaunch your client (Claude Desktop, Cursor, etc.). Omega's memory tools — omega_store, omega_query, omega_welcome, omega_lessons, and others — will appear in the tools panel.
Store your first memory
In a conversation, ask the AI to store a memory. Omega will persist it and surface it automatically in future sessions when relevant context is detected.
Omega Memory Examples
Client configuration
Manual claude_desktop_config.json entry for Omega Memory if you prefer not to use the setup wizard.
{
"mcpServers": {
"omega-memory": {
"command": "python",
"args": ["-m", "omega.server"]
}
}
}Prompts to try
Example prompts for storing, retrieving, and managing persistent memories across coding sessions.
- "Store a decision: we use PostgreSQL for this project, not MySQL — add it under the 'architecture' type"
- "What do you remember about the authentication implementation in this project?"
- "Save a lesson learned: always add database indexes before running load tests in staging"
- "Show me all the errors I encountered last week across my coding sessions"
- "Give me a weekly digest of what I've built and what decisions I've made this week"Troubleshooting Omega Memory
omega setup fails with model download errors
The ONNX embedding model is downloaded from HuggingFace on first setup. Check your internet connection, then run omega setup again. If behind a proxy, set HTTP_PROXY and HTTPS_PROXY environment variables before running the command.
Memory tools do not appear in Claude Desktop
Fully quit Claude Desktop (not just close the window) and relaunch it. Verify that omega setup --client claude-desktop completed without errors and that the MCP entry exists in your Claude Desktop settings.
Semantic search returns irrelevant memories
Run omega_consolidate to merge fragmented memories and improve the embedding index. Also check omega_type_stats to see if memories are correctly categorised — miscategorised memories can affect retrieval relevance.
Frequently Asked Questions about Omega Memory
What is Omega Memory?
Omega Memory is a Model Context Protocol (MCP) server that persistent memory for ai coding agents It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Omega Memory?
Follow the installation instructions on the Omega Memory GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Omega Memory?
Omega Memory works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Omega Memory free to use?
Yes, Omega Memory is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
Omega Memory Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to Omega Memory? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
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Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
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MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Omega Memory in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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