Omega Memory
O

Omega Memory

OMEGA is a persistent memory system designed for AI programming agents, providing cross - session memory, semantic search, automatic capture, and task resumption functions. It is an open - source, local alternative to Mem0.
2.5 points
4.9K

What is OMEGA?

OMEGA is a persistent memory system designed for AI coding assistants. It addresses the limitations of traditional methods (such as the CLAUDE.md file). Through semantic search, automatic capture, and intelligent memory management, it allows AI assistants to remember cross - session decisions, preferences, and lessons.

How to use OMEGA?

Installing OMEGA is very simple: Install it via pip, and then run the `omega setup` command to automatically configure your editor. After that, OMEGA will work in the background, automatically capturing and recalling relevant information.

Use cases

OMEGA is particularly suitable for developers who need to maintain long - term projects, team collaboration environments, and any users who want AI assistants to remember cross - session context and decisions.

Main Features

Semantic Search
Use the bge - small - en - v1.5 embedding model and sqlite - vec for semantic search. Relevant memories can be found even with different wordings.
Automatic Capture
Automatically detect decisions and debugging results without manual recording.
Checkpoint and Resume
Save task states and support resuming work across sessions.
Contradiction Detection
Automatically detect and resolve contradictory memories to maintain memory consistency.
Graph Relationships
Memories are connected by typed edges (related, alternative, contradictory).
Intelligent Forgetting
Time decay, conflict resolution, and deduplication. Preferences and errors are exempt from decay.
Encrypted Storage
Optional AES - 256 - GCM encryption, supporting integration with macOS Keychain.
12 MCP Tools
A complete memory management API, including storage, query, traversal, checkpoint, etc.
Advantages
Persistent cross - session memory. AI assistants can remember previous decisions and preferences.
Powerful semantic search function. Relevant memories can be found even with different wordings.
Automatic capture and recall, reducing the burden of manual management.
Local - first. Data is stored locally without the need for an API key.
Open - source and free. Core functions are under the Apache - 2.0 license.
Supports multiple editors (Claude Code, Cursor, Windsurf, Zed, etc.).
Intelligent memory management, including deduplication, contradiction detection, and time decay.
Limitations
Requires initial setup and model download (about 90MB).
Memory usage is about 337MB after the first query.
The automatic capture function is currently fully supported only by Claude Code.
Advanced functions such as multi - agent coordination require the Pro version.
Windows users need to use it through WSL.

How to Use

Install OMEGA
Install the OMEGA server version via pip.
Run the setup command
Automatically configure the editor and download necessary models.
Verify the installation
Check if all components are working properly.
Start using
Start your AI coding assistant, and OMEGA will automatically work in the background.

Usage Examples

Architectural Decision Memory
Remember the reason for choosing PostgreSQL over MongoDB to ensure consistency in subsequent development.
Learning from Error Lessons
Automatically capture debugging experiences to avoid repeating the same mistakes.
Persistence of Coding Preferences
Remember coding style preferences to ensure that all sessions follow the same rules.
Continuing Tasks Across Sessions
Save task states to support resuming work after interruptions.

Frequently Asked Questions

What's the difference between OMEGA and CLAUDE.md?
Does OMEGA require an internet connection?
Which editors are supported?
Where is the data stored? Is it secure?
What's the difference between the free version and the Pro version?
Can Windows users use it?
How to uninstall OMEGA?

Related Resources

Official Website and Documentation
Complete documentation, benchmark tests, and comparison pages.
GitHub Repository
Source code, issue tracking, and contribution guidelines.
PyPI Package Page
Python package releases and version information.
LongMemEval Benchmark Test
OMEGA's performance in long - term memory system benchmark tests.
Feature Comparison
A detailed comparison of OMEGA with other memory systems.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "omega-memory": {
      "command": "python3",
      "args": ["-m", "omega.server.mcp_server"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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